2025.03.24.post1 MAJOR

.devcontainer/.env

@@ -0,0 +1,8 @@
+user=postgres.ttijgixlummlpurhzjik 
+password=[YOUR-PASSWORD] 
+host=aws-0-ap-southeast-1.pooler.supabase.com
+port=6543
+dbname=postgres
+anon_key=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6InR0aWpnaXhsdW1tbHB1cmh6amlrIiwicm9sZSI6ImFub24iLCJpYXQiOjE3NDI3NDM0NjAsImV4cCI6MjA1ODMxOTQ2MH0.ZmYcemp2SL_cykuYeKBis47jfmZROQ_HOvs-8pco2GY
+SUPABASE_URL=https://ttijgixlummlpurhzjik.supabase.co
+table3_name=Tachygraphy-Microtext-Analysis-and-Normalization-Stage3-Correct

app_main_hf.py

@@ -179,6 +179,7 @@ def main():
 
 
     if st.session_state.current_page != selection:
+        st.cache_data.clear()
         st.cache_resource.clear()
         free_memory()
         st.session_state.current_page = selection

emotionMoodtag_analysis/emotion_analysis_main.py

@@ -251,34 +251,43 @@ def show_emotion_analysis():
 
         # model, tokenizer = load_model()
         # model, tokenizer = load_selected_model(selected_model)
-        with st.spinner("Please wait..."):
-            model, tokenizer, predict_func = load_selected_model(selected_model)
-            device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-            if model is None:
-                st.error(
-                    "⚠️ Error: Model failed to load! Check model selection or configuration.")
-                st.stop()
+        col_spinner, col_warning = st.columns(2)
+        with col_warning:
+            warning_placeholder = st.empty()
+            warning_placeholder.warning("Don't change the text data or any input parameters or switch models or pages while inference is loading...")
 
-            # model.to(device)
-            if hasattr(model, "to"):
-                model.to(device)
+        with col_spinner:
+            with st.spinner("Please wait, inference is loading..."):
+                model, tokenizer, predict_func = load_selected_model(selected_model)
+                device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-            # predictions = predict(user_input, model, tokenizer, device)
+                if model is None:
+                    st.error(
+                        "⚠️ Error: Model failed to load! Check model selection or configuration.")
+                    st.stop()
 
-            predictions = predict_func(user_input, model, tokenizer, device)
-            print(predictions)
+                # model.to(device)
+                if hasattr(model, "to"):
+                    model.to(device)
 
-            # Squeeze predictions to remove extra dimensions
-            predictions_array = predictions.squeeze()
+                # predictions = predict(user_input, model, tokenizer, device)
 
-            # Convert to binary predictions (argmax)
-            binary_predictions = np.zeros_like(predictions_array)
-            max_indices = np.argmax(predictions_array)
-            binary_predictions[max_indices] = 1
+                predictions = predict_func(user_input, model, tokenizer, device)
+                print(predictions)
+
+                # Squeeze predictions to remove extra dimensions
+                predictions_array = predictions.squeeze()
+
+                # Convert to binary predictions (argmax)
+                binary_predictions = np.zeros_like(predictions_array)
+                max_indices = np.argmax(predictions_array)
+                binary_predictions[max_indices] = 1
 
             # Update progress bar for prediction and model loading
-            update_progress(progress_bar, 10, 100)
+        update_progress(progress_bar, 10, 100)
+
+        warning_placeholder.empty()
 
         # Display raw predictions
         st.write(f"**Predicted Emotion Scores:** {predictions_array}")

poetry.lock

@@ -199,6 +199,18 @@ dev = ["duckdb (>=1.0)", "geopandas", "hatch (>=1.13.0)", "ipython[kernel]", "mi
 doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
 save = ["vl-convert-python (>=1.7.0)"]
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.9.0"
@@ -975,6 +987,21 @@ files = [
     {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
 ]
 
+[[package]]
+name = "deprecation"
+version = "2.1.0"
+description = "A library to handle automated deprecations"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"},
+    {file = "deprecation-2.1.0.tar.gz", hash = "sha256:72b3bde64e5d778694b0cf68178aed03d15e15477116add3fb773e581f9518ff"},
+]
+
+[package.dependencies]
+packaging = "*"
+
 [[package]]
 name = "diffusers"
 version = "0.32.2"
@@ -1591,6 +1618,22 @@ files = [
 [package.dependencies]
 six = "*"
 
+[[package]]
+name = "gotrue"
+version = "2.11.4"
+description = "Python Client Library for Supabase Auth"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "gotrue-2.11.4-py3-none-any.whl", hash = "sha256:712e5018acc00d93cfc6d7bfddc3114eb3c420ab03b945757a8ba38c5fc3caa8"},
+    {file = "gotrue-2.11.4.tar.gz", hash = "sha256:a9ced242b16c6d6bedc43bca21bbefea1ba5fb35fcdaad7d529342099d3b1767"},
+]
+
+[package.dependencies]
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+pydantic = ">=1.10,<3"
+
 [[package]]
 name = "grpcio"
 version = "1.71.0"
@@ -1667,6 +1710,22 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
+[[package]]
+name = "h2"
+version = "4.2.0"
+description = "Pure-Python HTTP/2 protocol implementation"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "h2-4.2.0-py3-none-any.whl", hash = "sha256:479a53ad425bb29af087f3458a61d30780bc818e4ebcf01f0b536ba916462ed0"},
+    {file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
+]
+
+[package.dependencies]
+hpack = ">=4.1,<5"
+hyperframe = ">=6.1,<7"
+
 [[package]]
 name = "h2o"
 version = "3.46.0.6"
@@ -1724,6 +1783,18 @@ files = [
 [package.dependencies]
 numpy = ">=1.19.3"
 
+[[package]]
+name = "hpack"
+version = "4.1.0"
+description = "Pure-Python HPACK header encoding"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
+    {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
+]
+
 [[package]]
 name = "htbuilder"
 version = "0.9.0"
@@ -1772,6 +1843,7 @@ files = [
 [package.dependencies]
 anyio = "*"
 certifi = "*"
+h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
 httpcore = "==1.*"
 idna = "*"
 
@@ -1817,6 +1889,18 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gr
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
+[[package]]
+name = "hyperframe"
+version = "6.1.0"
+description = "Pure-Python HTTP/2 framing"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
+    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
@@ -4006,6 +4090,23 @@ docs = ["sphinx (>=1.7.1)"]
 redis = ["redis"]
 tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-rerunfailures (>=15.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
 
+[[package]]
+name = "postgrest"
+version = "0.19.3"
+description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "postgrest-0.19.3-py3-none-any.whl", hash = "sha256:03a7e638962454d10bb712c35e63a8a4bc452917917a4e9eb7427bd5b3c6c485"},
+    {file = "postgrest-0.19.3.tar.gz", hash = "sha256:28a70f03bf3a975aa865a10487b1ce09b7195f56453f7c318a70d3117a3d323c"},
+]
+
+[package.dependencies]
+deprecation = ">=2.1.0,<3.0.0"
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+pydantic = ">=1.9,<3.0"
+
 [[package]]
 name = "prometheus-client"
 version = "0.21.1"
@@ -4346,6 +4447,140 @@ files = [
     {file = "pycurl-7.45.6.tar.gz", hash = "sha256:2b73e66b22719ea48ac08a93fc88e57ef36d46d03cb09d972063c9aa86bb74e6"},
 ]
 
+[[package]]
+name = "pydantic"
+version = "2.10.6"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pydantic-2.10.6-py3-none-any.whl", hash = "sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584"},
+    {file = "pydantic-2.10.6.tar.gz", hash = "sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.6.0"
+pydantic-core = "2.27.2"
+typing-extensions = ">=4.12.2"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
+
+[[package]]
+name = "pydantic-core"
+version = "2.27.2"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7969e133a6f183be60e9f6f56bfae753585680f3b7307a8e555a948d443cc05a"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3de9961f2a346257caf0aa508a4da705467f53778e9ef6fe744c038119737ef5"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2bb4d3e5873c37bb3dd58714d4cd0b0e6238cebc4177ac8fe878f8b3aa8e74c"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:280d219beebb0752699480fe8f1dc61ab6615c2046d76b7ab7ee38858de0a4e7"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47956ae78b6422cbd46f772f1746799cbb862de838fd8d1fbd34a82e05b0983a"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:14d4a5c49d2f009d62a2a7140d3064f686d17a5d1a268bc641954ba181880236"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:337b443af21d488716f8d0b6164de833e788aa6bd7e3a39c005febc1284f4962"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:03d0f86ea3184a12f41a2d23f7ccb79cdb5a18e06993f8a45baa8dfec746f0e9"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7041c36f5680c6e0f08d922aed302e98b3745d97fe1589db0a3eebf6624523af"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-win32.whl", hash = "sha256:50a68f3e3819077be2c98110c1f9dcb3817e93f267ba80a2c05bb4f8799e2ff4"},
+    {file = "pydantic_core-2.27.2-cp310-cp310-win_amd64.whl", hash = "sha256:e0fd26b16394ead34a424eecf8a31a1f5137094cabe84a1bcb10fa6ba39d3d31"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8e10c99ef58cfdf2a66fc15d66b16c4a04f62bca39db589ae8cba08bc55331bc"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:26f32e0adf166a84d0cb63be85c562ca8a6fa8de28e5f0d92250c6b7e9e2aff7"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c19d1ea0673cd13cc2f872f6c9ab42acc4e4f492a7ca9d3795ce2b112dd7e15"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e68c4446fe0810e959cdff46ab0a41ce2f2c86d227d96dc3847af0ba7def306"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9640b0059ff4f14d1f37321b94061c6db164fbe49b334b31643e0528d100d99"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:40d02e7d45c9f8af700f3452f329ead92da4c5f4317ca9b896de7ce7199ea459"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1fd185014191700554795c99b347d64f2bb637966c4cfc16998a0ca700d048"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d81d2068e1c1228a565af076598f9e7451712700b673de8f502f0334f281387d"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a4207639fb02ec2dbb76227d7c751a20b1a6b4bc52850568e52260cae64ca3b"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:3de3ce3c9ddc8bbd88f6e0e304dea0e66d843ec9de1b0042b0911c1663ffd474"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:30c5f68ded0c36466acede341551106821043e9afaad516adfb6e8fa80a4e6a6"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-win32.whl", hash = "sha256:c70c26d2c99f78b125a3459f8afe1aed4d9687c24fd677c6a4436bc042e50d6c"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-win_amd64.whl", hash = "sha256:08e125dbdc505fa69ca7d9c499639ab6407cfa909214d500897d02afb816e7cc"},
+    {file = "pydantic_core-2.27.2-cp311-cp311-win_arm64.whl", hash = "sha256:26f0d68d4b235a2bae0c3fc585c585b4ecc51382db0e3ba402a22cbc440915e4"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9e0c8cfefa0ef83b4da9588448b6d8d2a2bf1a53c3f1ae5fca39eb3061e2f0b0"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:83097677b8e3bd7eaa6775720ec8e0405f1575015a463285a92bfdfe254529ef"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:172fce187655fece0c90d90a678424b013f8fbb0ca8b036ac266749c09438cb7"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:519f29f5213271eeeeb3093f662ba2fd512b91c5f188f3bb7b27bc5973816934"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05e3a55d124407fffba0dd6b0c0cd056d10e983ceb4e5dbd10dda135c31071d6"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c3ed807c7b91de05e63930188f19e921d1fe90de6b4f5cd43ee7fcc3525cb8c"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fb4aadc0b9a0c063206846d603b92030eb6f03069151a625667f982887153e2"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:28ccb213807e037460326424ceb8b5245acb88f32f3d2777427476e1b32c48c4"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:de3cd1899e2c279b140adde9357c4495ed9d47131b4a4eaff9052f23398076b3"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:220f892729375e2d736b97d0e51466252ad84c51857d4d15f5e9692f9ef12be4"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a0fcd29cd6b4e74fe8ddd2c90330fd8edf2e30cb52acda47f06dd615ae72da57"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-win32.whl", hash = "sha256:1e2cb691ed9834cd6a8be61228471d0a503731abfb42f82458ff27be7b2186fc"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-win_amd64.whl", hash = "sha256:cc3f1a99a4f4f9dd1de4fe0312c114e740b5ddead65bb4102884b384c15d8bc9"},
+    {file = "pydantic_core-2.27.2-cp312-cp312-win_arm64.whl", hash = "sha256:3911ac9284cd8a1792d3cb26a2da18f3ca26c6908cc434a18f730dc0db7bfa3b"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7d14bd329640e63852364c306f4d23eb744e0f8193148d4044dd3dacdaacbd8b"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82f91663004eb8ed30ff478d77c4d1179b3563df6cdb15c0817cd1cdaf34d154"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71b24c7d61131bb83df10cc7e687433609963a944ccf45190cfc21e0887b08c9"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fa8e459d4954f608fa26116118bb67f56b93b209c39b008277ace29937453dc9"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce8918cbebc8da707ba805b7fd0b382816858728ae7fe19a942080c24e5b7cd1"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eda3f5c2a021bbc5d976107bb302e0131351c2ba54343f8a496dc8783d3d3a6a"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd8086fa684c4775c27f03f062cbb9eaa6e17f064307e86b21b9e0abc9c0f02e"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8d9b3388db186ba0c099a6d20f0604a44eabdeef1777ddd94786cdae158729e4"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7a66efda2387de898c8f38c0cf7f14fca0b51a8ef0b24bfea5849f1b3c95af27"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:18a101c168e4e092ab40dbc2503bdc0f62010e95d292b27827871dc85450d7ee"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ba5dd002f88b78a4215ed2f8ddbdf85e8513382820ba15ad5ad8955ce0ca19a1"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-win32.whl", hash = "sha256:1ebaf1d0481914d004a573394f4be3a7616334be70261007e47c2a6fe7e50130"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-win_amd64.whl", hash = "sha256:953101387ecf2f5652883208769a79e48db18c6df442568a0b5ccd8c2723abee"},
+    {file = "pydantic_core-2.27.2-cp313-cp313-win_arm64.whl", hash = "sha256:ac4dbfd1691affb8f48c2c13241a2e3b60ff23247cbcf981759c768b6633cf8b"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d3e8d504bdd3f10835468f29008d72fc8359d95c9c415ce6e767203db6127506"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:521eb9b7f036c9b6187f0b47318ab0d7ca14bd87f776240b90b21c1f4f149320"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85210c4d99a0114f5a9481b44560d7d1e35e32cc5634c656bc48e590b669b145"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d716e2e30c6f140d7560ef1538953a5cd1a87264c737643d481f2779fc247fe1"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f66d89ba397d92f840f8654756196d93804278457b5fbede59598a1f9f90b228"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:669e193c1c576a58f132e3158f9dfa9662969edb1a250c54d8fa52590045f046"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdbe7629b996647b99c01b37f11170a57ae675375b14b8c13b8518b8320ced5"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d262606bf386a5ba0b0af3b97f37c83d7011439e3dc1a9298f21efb292e42f1a"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:cabb9bcb7e0d97f74df8646f34fc76fbf793b7f6dc2438517d7a9e50eee4f14d"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_armv7l.whl", hash = "sha256:d2d63f1215638d28221f664596b1ccb3944f6e25dd18cd3b86b0a4c408d5ebb9"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bca101c00bff0adb45a833f8451b9105d9df18accb8743b08107d7ada14bd7da"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-win32.whl", hash = "sha256:f6f8e111843bbb0dee4cb6594cdc73e79b3329b526037ec242a3e49012495b3b"},
+    {file = "pydantic_core-2.27.2-cp38-cp38-win_amd64.whl", hash = "sha256:fd1aea04935a508f62e0d0ef1f5ae968774a32afc306fb8545e06f5ff5cdf3ad"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c10eb4f1659290b523af58fa7cffb452a61ad6ae5613404519aee4bfbf1df993"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ef592d4bad47296fb11f96cd7dc898b92e795032b4894dfb4076cfccd43a9308"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c61709a844acc6bf0b7dce7daae75195a10aac96a596ea1b776996414791ede4"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c5f762659e47fdb7b16956c71598292f60a03aa92f8b6351504359dbdba6cf"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4c9775e339e42e79ec99c441d9730fccf07414af63eac2f0e48e08fd38a64d76"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57762139821c31847cfb2df63c12f725788bd9f04bc2fb392790959b8f70f118"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d1e85068e818c73e048fe28cfc769040bb1f475524f4745a5dc621f75ac7630"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:097830ed52fd9e427942ff3b9bc17fab52913b2f50f2880dc4a5611446606a54"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:044a50963a614ecfae59bb1eaf7ea7efc4bc62f49ed594e18fa1e5d953c40e9f"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_armv7l.whl", hash = "sha256:4e0b4220ba5b40d727c7f879eac379b822eee5d8fff418e9d3381ee45b3b0362"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5e4f4bb20d75e9325cc9696c6802657b58bc1dbbe3022f32cc2b2b632c3fbb96"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-win32.whl", hash = "sha256:cca63613e90d001b9f2f9a9ceb276c308bfa2a43fafb75c8031c4f66039e8c6e"},
+    {file = "pydantic_core-2.27.2-cp39-cp39-win_amd64.whl", hash = "sha256:77d1bca19b0f7021b3a982e6f903dcd5b2b06076def36a652e3907f596e29f67"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2bf14caea37e91198329b828eae1618c068dfb8ef17bb33287a7ad4b61ac314e"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0cb791f5b45307caae8810c2023a184c74605ec3bcbb67d13846c28ff731ff8"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:688d3fd9fcb71f41c4c015c023d12a79d1c4c0732ec9eb35d96e3388a120dcf3"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d591580c34f4d731592f0e9fe40f9cc1b430d297eecc70b962e93c5c668f15f"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:82f986faf4e644ffc189a7f1aafc86e46ef70372bb153e7001e8afccc6e54133"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:bec317a27290e2537f922639cafd54990551725fc844249e64c523301d0822fc"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:0296abcb83a797db256b773f45773da397da75a08f5fcaef41f2044adec05f50"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0d75070718e369e452075a6017fbf187f788e17ed67a3abd47fa934d001863d9"},
+    {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7e17b560be3c98a8e3aa66ce828bdebb9e9ac6ad5466fba92eb74c4c95cb1151"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c33939a82924da9ed65dab5a65d427205a73181d8098e79b6b426bdf8ad4e656"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:00bad2484fa6bda1e216e7345a798bd37c68fb2d97558edd584942aa41b7d278"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c817e2b40aba42bac6f457498dacabc568c3b7a986fc9ba7c8d9d260b71485fb"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:251136cdad0cb722e93732cb45ca5299fb56e1344a833640bf93b2803f8d1bfd"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d2088237af596f0a524d3afc39ab3b036e8adb054ee57cbb1dcf8e09da5b29cc"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d4041c0b966a84b4ae7a09832eb691a35aec90910cd2dbe7a208de59be77965b"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:8083d4e875ebe0b864ffef72a4304827015cff328a1be6e22cc850753bfb122b"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f141ee28a0ad2123b6611b6ceff018039df17f32ada8b534e6aa039545a3efb2"},
+    {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7d0c8399fcc1848491f00e0314bd59fb34a9c008761bcb422a057670c3f65e35"},
+    {file = "pydantic_core-2.27.2.tar.gz", hash = "sha256:eb026e5a4c1fee05726072337ff51d1efb6f59090b7da90d30ea58625b1ffb39"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
 [[package]]
 name = "pydeck"
 version = "0.9.1"
@@ -4402,14 +4637,14 @@ extra = ["pygments (>=2.19.1)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.2.1"
+version = "3.2.2"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1"},
-    {file = "pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a"},
+    {file = "pyparsing-3.2.2-py3-none-any.whl", hash = "sha256:6ab05e1cb111cc72acc8ed811a3ca4c2be2af8d7b6df324347f04fd057d8d793"},
+    {file = "pyparsing-3.2.2.tar.gz", hash = "sha256:2a857aee851f113c2de9d4bfd9061baea478cb0f1c7ca6cbf594942d6d111575"},
 ]
 
 [package.extras]
@@ -4816,6 +5051,24 @@ files = [
 [package.extras]
 all = ["numpy"]
 
+[[package]]
+name = "realtime"
+version = "2.4.1"
+description = ""
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "realtime-2.4.1-py3-none-any.whl", hash = "sha256:6aacfec1ca3519fbb87219ce250dee3b6797156f5a091eb48d0e19945bc6d103"},
+    {file = "realtime-2.4.1.tar.gz", hash = "sha256:8e77616d8c721f0f17ea0a256f6b5cd6d626b0eb66b305544d5f330c3a6d9a4c"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.11.13,<4.0.0"
+python-dateutil = ">=2.8.1,<3.0.0"
+typing-extensions = ">=4.12.2,<5.0.0"
+websockets = ">=11,<15"
+
 [[package]]
 name = "referencing"
 version = "0.36.2"
@@ -5556,6 +5809,22 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
+[[package]]
+name = "storage3"
+version = "0.11.3"
+description = "Supabase Storage client for Python."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "storage3-0.11.3-py3-none-any.whl", hash = "sha256:090c42152217d5d39bd94af3ddeb60c8982f3a283dcd90b53d058f2db33e6007"},
+    {file = "storage3-0.11.3.tar.gz", hash = "sha256:883637132aad36d9d92b7c497a8a56dff7c51f15faf2ff7acbccefbbd5e97347"},
+]
+
+[package.dependencies]
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+python-dateutil = ">=2.8.2,<3.0.0"
+
 [[package]]
 name = "streamlit"
 version = "1.43.2"
@@ -5798,6 +6067,59 @@ files = [
 [package.dependencies]
 streamlit = ">=1.22.0"
 
+[[package]]
+name = "strenum"
+version = "0.4.15"
+description = "An Enum that inherits from str."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "StrEnum-0.4.15-py3-none-any.whl", hash = "sha256:a30cda4af7cc6b5bf52c8055bc4bf4b2b6b14a93b574626da33df53cf7740659"},
+    {file = "StrEnum-0.4.15.tar.gz", hash = "sha256:878fb5ab705442070e4dd1929bb5e2249511c0bcf2b0eeacf3bcd80875c82eff"},
+]
+
+[package.extras]
+docs = ["myst-parser[linkify]", "sphinx", "sphinx-rtd-theme"]
+release = ["twine"]
+test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
+
+[[package]]
+name = "supabase"
+version = "2.14.0"
+description = "Supabase client for Python."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "supabase-2.14.0-py3-none-any.whl", hash = "sha256:397c3fc1e8cfe167a3de3e20b79a2952f2b2aa572a1aaf3c3fdd51d4b1ee065e"},
+    {file = "supabase-2.14.0.tar.gz", hash = "sha256:fd5919ceff91c61b6be05fa8c05b0d7329218598cc05edbdacc141c0c808183c"},
+]
+
+[package.dependencies]
+gotrue = ">=2.11.0,<3.0.0"
+httpx = ">=0.26,<0.29"
+postgrest = ">=0.19,<0.20"
+realtime = ">=2.4.0,<2.5.0"
+storage3 = ">=0.10,<0.12"
+supafunc = ">=0.9,<0.10"
+
+[[package]]
+name = "supafunc"
+version = "0.9.3"
+description = "Library for Supabase Functions"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "supafunc-0.9.3-py3-none-any.whl", hash = "sha256:83e36ed5e94d2dd0484011aad0b09337d35a87992adbc97acc31c8201aca05d0"},
+    {file = "supafunc-0.9.3.tar.gz", hash = "sha256:29a06d0dc9fe049ecc1249e53ccf3d2a80d72239200f69b510740217aca6497c"},
+]
+
+[package.dependencies]
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+strenum = ">=0.4.15,<0.5.0"
+
 [[package]]
 name = "sympy"
 version = "1.13.1"
@@ -6547,6 +6869,85 @@ files = [
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
+[[package]]
+name = "websockets"
+version = "14.2"
+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "websockets-14.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e8179f95323b9ab1c11723e5d91a89403903f7b001828161b480a7810b334885"},
+    {file = "websockets-14.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0d8c3e2cdb38f31d8bd7d9d28908005f6fa9def3324edb9bf336d7e4266fd397"},
+    {file = "websockets-14.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:714a9b682deb4339d39ffa674f7b674230227d981a37d5d174a4a83e3978a610"},
+    {file = "websockets-14.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2e53c72052f2596fb792a7acd9704cbc549bf70fcde8a99e899311455974ca3"},
+    {file = "websockets-14.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e3fbd68850c837e57373d95c8fe352203a512b6e49eaae4c2f4088ef8cf21980"},
+    {file = "websockets-14.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b27ece32f63150c268593d5fdb82819584831a83a3f5809b7521df0685cd5d8"},
+    {file = "websockets-14.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4daa0faea5424d8713142b33825fff03c736f781690d90652d2c8b053345b0e7"},
+    {file = "websockets-14.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:bc63cee8596a6ec84d9753fd0fcfa0452ee12f317afe4beae6b157f0070c6c7f"},
+    {file = "websockets-14.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7a570862c325af2111343cc9b0257b7119b904823c675b22d4ac547163088d0d"},
+    {file = "websockets-14.2-cp310-cp310-win32.whl", hash = "sha256:75862126b3d2d505e895893e3deac0a9339ce750bd27b4ba515f008b5acf832d"},
+    {file = "websockets-14.2-cp310-cp310-win_amd64.whl", hash = "sha256:cc45afb9c9b2dc0852d5c8b5321759cf825f82a31bfaf506b65bf4668c96f8b2"},
+    {file = "websockets-14.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3bdc8c692c866ce5fefcaf07d2b55c91d6922ac397e031ef9b774e5b9ea42166"},
+    {file = "websockets-14.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c93215fac5dadc63e51bcc6dceca72e72267c11def401d6668622b47675b097f"},
+    {file = "websockets-14.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1c9b6535c0e2cf8a6bf938064fb754aaceb1e6a4a51a80d884cd5db569886910"},
+    {file = "websockets-14.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a52a6d7cf6938e04e9dceb949d35fbdf58ac14deea26e685ab6368e73744e4c"},
+    {file = "websockets-14.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9f05702e93203a6ff5226e21d9b40c037761b2cfb637187c9802c10f58e40473"},
+    {file = "websockets-14.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22441c81a6748a53bfcb98951d58d1af0661ab47a536af08920d129b4d1c3473"},
+    {file = "websockets-14.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:efd9b868d78b194790e6236d9cbc46d68aba4b75b22497eb4ab64fa640c3af56"},
+    {file = "websockets-14.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1a5a20d5843886d34ff8c57424cc65a1deda4375729cbca4cb6b3353f3ce4142"},
+    {file = "websockets-14.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:34277a29f5303d54ec6468fb525d99c99938607bc96b8d72d675dee2b9f5bf1d"},
+    {file = "websockets-14.2-cp311-cp311-win32.whl", hash = "sha256:02687db35dbc7d25fd541a602b5f8e451a238ffa033030b172ff86a93cb5dc2a"},
+    {file = "websockets-14.2-cp311-cp311-win_amd64.whl", hash = "sha256:862e9967b46c07d4dcd2532e9e8e3c2825e004ffbf91a5ef9dde519ee2effb0b"},
+    {file = "websockets-14.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:1f20522e624d7ffbdbe259c6b6a65d73c895045f76a93719aa10cd93b3de100c"},
+    {file = "websockets-14.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:647b573f7d3ada919fd60e64d533409a79dcf1ea21daeb4542d1d996519ca967"},
+    {file = "websockets-14.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6af99a38e49f66be5a64b1e890208ad026cda49355661549c507152113049990"},
+    {file = "websockets-14.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:091ab63dfc8cea748cc22c1db2814eadb77ccbf82829bac6b2fbe3401d548eda"},
+    {file = "websockets-14.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b374e8953ad477d17e4851cdc66d83fdc2db88d9e73abf755c94510ebddceb95"},
+    {file = "websockets-14.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a39d7eceeea35db85b85e1169011bb4321c32e673920ae9c1b6e0978590012a3"},
+    {file = "websockets-14.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0a6f3efd47ffd0d12080594f434faf1cd2549b31e54870b8470b28cc1d3817d9"},
+    {file = "websockets-14.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:065ce275e7c4ffb42cb738dd6b20726ac26ac9ad0a2a48e33ca632351a737267"},
+    {file = "websockets-14.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e9d0e53530ba7b8b5e389c02282f9d2aa47581514bd6049d3a7cffe1385cf5fe"},
+    {file = "websockets-14.2-cp312-cp312-win32.whl", hash = "sha256:20e6dd0984d7ca3037afcb4494e48c74ffb51e8013cac71cf607fffe11df7205"},
+    {file = "websockets-14.2-cp312-cp312-win_amd64.whl", hash = "sha256:44bba1a956c2c9d268bdcdf234d5e5ff4c9b6dc3e300545cbe99af59dda9dcce"},
+    {file = "websockets-14.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6f1372e511c7409a542291bce92d6c83320e02c9cf392223272287ce55bc224e"},
+    {file = "websockets-14.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4da98b72009836179bb596a92297b1a61bb5a830c0e483a7d0766d45070a08ad"},
+    {file = "websockets-14.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f8a86a269759026d2bde227652b87be79f8a734e582debf64c9d302faa1e9f03"},
+    {file = "websockets-14.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86cf1aaeca909bf6815ea714d5c5736c8d6dd3a13770e885aafe062ecbd04f1f"},
+    {file = "websockets-14.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9b0f6c3ba3b1240f602ebb3971d45b02cc12bd1845466dd783496b3b05783a5"},
+    {file = "websockets-14.2-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:669c3e101c246aa85bc8534e495952e2ca208bd87994650b90a23d745902db9a"},
+    {file = "websockets-14.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:eabdb28b972f3729348e632ab08f2a7b616c7e53d5414c12108c29972e655b20"},
+    {file = "websockets-14.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:2066dc4cbcc19f32c12a5a0e8cc1b7ac734e5b64ac0a325ff8353451c4b15ef2"},
+    {file = "websockets-14.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ab95d357cd471df61873dadf66dd05dd4709cae001dd6342edafc8dc6382f307"},
+    {file = "websockets-14.2-cp313-cp313-win32.whl", hash = "sha256:a9e72fb63e5f3feacdcf5b4ff53199ec8c18d66e325c34ee4c551ca748623bbc"},
+    {file = "websockets-14.2-cp313-cp313-win_amd64.whl", hash = "sha256:b439ea828c4ba99bb3176dc8d9b933392a2413c0f6b149fdcba48393f573377f"},
+    {file = "websockets-14.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7cd5706caec1686c5d233bc76243ff64b1c0dc445339bd538f30547e787c11fe"},
+    {file = "websockets-14.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ec607328ce95a2f12b595f7ae4c5d71bf502212bddcea528290b35c286932b12"},
+    {file = "websockets-14.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:da85651270c6bfb630136423037dd4975199e5d4114cae6d3066641adcc9d1c7"},
+    {file = "websockets-14.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3ecadc7ce90accf39903815697917643f5b7cfb73c96702318a096c00aa71f5"},
+    {file = "websockets-14.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1979bee04af6a78608024bad6dfcc0cc930ce819f9e10342a29a05b5320355d0"},
+    {file = "websockets-14.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2dddacad58e2614a24938a50b85969d56f88e620e3f897b7d80ac0d8a5800258"},
+    {file = "websockets-14.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:89a71173caaf75fa71a09a5f614f450ba3ec84ad9fca47cb2422a860676716f0"},
+    {file = "websockets-14.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:6af6a4b26eea4fc06c6818a6b962a952441e0e39548b44773502761ded8cc1d4"},
+    {file = "websockets-14.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:80c8efa38957f20bba0117b48737993643204645e9ec45512579132508477cfc"},
+    {file = "websockets-14.2-cp39-cp39-win32.whl", hash = "sha256:2e20c5f517e2163d76e2729104abc42639c41cf91f7b1839295be43302713661"},
+    {file = "websockets-14.2-cp39-cp39-win_amd64.whl", hash = "sha256:b4c8cef610e8d7c70dea92e62b6814a8cd24fbd01d7103cc89308d2bfe1659ef"},
+    {file = "websockets-14.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d7d9cafbccba46e768be8a8ad4635fa3eae1ffac4c6e7cb4eb276ba41297ed29"},
+    {file = "websockets-14.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:c76193c1c044bd1e9b3316dcc34b174bbf9664598791e6fb606d8d29000e070c"},
+    {file = "websockets-14.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd475a974d5352390baf865309fe37dec6831aafc3014ffac1eea99e84e83fc2"},
+    {file = "websockets-14.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2c6c0097a41968b2e2b54ed3424739aab0b762ca92af2379f152c1aef0187e1c"},
+    {file = "websockets-14.2-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d7ff794c8b36bc402f2e07c0b2ceb4a2424147ed4785ff03e2a7af03711d60a"},
+    {file = "websockets-14.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:dec254fcabc7bd488dab64846f588fc5b6fe0d78f641180030f8ea27b76d72c3"},
+    {file = "websockets-14.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:bbe03eb853e17fd5b15448328b4ec7fb2407d45fb0245036d06a3af251f8e48f"},
+    {file = "websockets-14.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a3c4aa3428b904d5404a0ed85f3644d37e2cb25996b7f096d77caeb0e96a3b42"},
+    {file = "websockets-14.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:577a4cebf1ceaf0b65ffc42c54856214165fb8ceeba3935852fc33f6b0c55e7f"},
+    {file = "websockets-14.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad1c1d02357b7665e700eca43a31d52814ad9ad9b89b58118bdabc365454b574"},
+    {file = "websockets-14.2-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f390024a47d904613577df83ba700bd189eedc09c57af0a904e5c39624621270"},
+    {file = "websockets-14.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:3c1426c021c38cf92b453cdf371228d3430acd775edee6bac5a4d577efc72365"},
+    {file = "websockets-14.2-py3-none-any.whl", hash = "sha256:7a6ceec4ea84469f15cf15807a747e9efe57e369c384fa86e022b3bea679b79b"},
+    {file = "websockets-14.2.tar.gz", hash = "sha256:5059ed9c54945efb321f097084b4c7e52c246f2c869815876a69d1efc4ad6eb5"},
+]
+
 [[package]]
 name = "werkzeug"
 version = "3.1.3"
@@ -7134,4 +7535,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<4.0"
-content-hash = "de1d0943209202e0a356cefb35fb03ae164804ae7c028904c29a24e61ea891a3"
+content-hash = "416e5bf0ee0f402734ae1c44b8285e9bb698ad7fda638e6ad65fcd0d8068168c"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "tachygraphy-microtext-analysis-and-normalization"
-version = "2025.03.22.post1"
+version = "2025.03.24.post1"
 description = ""
 authors = [
     { name = "Archisman Karmakar", email = "[email protected]" },
@@ -201,6 +201,7 @@ dependencies = [
     "poetry-plugin-export (>=1.9.0,<2.0.0)",
     "python-dotenv (>=1.0.1,<2.0.0)",
     "psycopg2 (>=2.9.10,<3.0.0)",
+    "supabase (>=2.14.0,<3.0.0)",
 ]
 
 

pyprojectOLD.toml

@@ -1,6 +1,7 @@
 [project]
 name = "tachygraphy-microtext-analysis-and-normalization"
-version = "2025.03.21.post1"
+version = "2025.03.22.post1"
+# version = "2025.03.21.post1"
 # version = "2025.03.18.post5"
 # version = "2025.03.18.post4_3"
 # version = "2025.03.18.post3"

requirements.txt

@@ -4,6 +4,7 @@ aiohappyeyeballs==2.6.1 ; python_version >= "3.12" and python_version < "4.0"
 aiohttp==3.11.14 ; python_version >= "3.12" and python_version < "4.0"
 aiosignal==1.3.2 ; python_version >= "3.12" and python_version < "4.0"
 altair==5.5.0 ; python_version >= "3.12" and python_version < "4.0"
+annotated-types==0.7.0 ; python_version >= "3.12" and python_version < "4.0"
 anyio==4.9.0 ; python_version >= "3.12" and python_version < "4.0"
 appnope==0.1.4 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Darwin"
 asttokens==3.0.0 ; python_version >= "3.12" and python_version < "4.0"
@@ -33,6 +34,7 @@ dask==2025.3.0 ; python_version >= "3.12" and python_version < "4.0"
 datasets==3.4.1 ; python_version >= "3.12" and python_version < "4.0"
 debugpy==1.8.13 ; python_version >= "3.12" and python_version < "4.0"
 decorator==5.2.1 ; python_version >= "3.12" and python_version < "4.0"
+deprecation==2.1.0 ; python_version >= "3.12" and python_version < "4.0"
 diffusers==0.32.2 ; python_version >= "3.12" and python_version < "4.0"
 dill==0.3.8 ; python_version >= "3.12" and python_version < "4.0"
 distlib==0.3.9 ; python_version >= "3.12" and python_version < "4.0"
@@ -56,14 +58,18 @@ gast==0.6.0 ; python_version >= "3.12" and python_version < "4.0"
 gitdb==4.0.12 ; python_version >= "3.12" and python_version < "4.0"
 gitpython==3.1.44 ; python_version >= "3.12" and python_version < "4.0"
 google-pasta==0.2.0 ; python_version >= "3.12" and python_version < "4.0"
+gotrue==2.11.4 ; python_version >= "3.12" and python_version < "4.0"
 grpcio==1.71.0 ; python_version >= "3.12" and python_version < "4.0"
 h11==0.14.0 ; python_version >= "3.12" and python_version < "4.0"
+h2==4.2.0 ; python_version >= "3.12" and python_version < "4.0"
 h2o==3.46.0.6 ; python_version >= "3.12" and python_version < "4.0"
 h5py==3.13.0 ; python_version >= "3.12" and python_version < "4.0"
+hpack==4.1.0 ; python_version >= "3.12" and python_version < "4.0"
 htbuilder==0.9.0 ; python_version >= "3.12" and python_version < "4.0"
 httpcore==1.0.7 ; python_version >= "3.12" and python_version < "4.0"
 httpx==0.28.1 ; python_version >= "3.12" and python_version < "4.0"
 huggingface-hub==0.29.3 ; python_version >= "3.12" and python_version < "4.0"
+hyperframe==6.1.0 ; python_version >= "3.12" and python_version < "4.0"
 idna==3.10 ; python_version >= "3.12" and python_version < "4.0"
 importlib-metadata==8.6.1 ; python_version >= "3.12" and python_version < "4.0"
 importlib==1.0.4 ; python_version >= "3.12" and python_version < "4.0"
@@ -142,6 +148,7 @@ poetry-core==2.1.1 ; python_version >= "3.12" and python_version < "4.0"
 poetry-plugin-export==1.9.0 ; python_version >= "3.12" and python_version < "4.0"
 poetry==2.1.1 ; python_version >= "3.12" and python_version < "4.0"
 portalocker==3.1.1 ; python_version >= "3.12" and python_version < "4.0"
+postgrest==0.19.3 ; python_version >= "3.12" and python_version < "4.0"
 prometheus-client==0.21.1 ; python_version >= "3.12" and python_version < "4.0"
 prompt-toolkit==3.0.50 ; python_version >= "3.12" and python_version < "4.0"
 propcache==0.3.0 ; python_version >= "3.12" and python_version < "4.0"
@@ -153,10 +160,12 @@ pure-eval==0.2.3 ; python_version >= "3.12" and python_version < "4.0"
 pyarrow==19.0.1 ; python_version >= "3.12" and python_version < "4.0"
 pycparser==2.22 ; python_version >= "3.12" and python_version < "4.0" and (sys_platform == "linux" or sys_platform == "darwin" or implementation_name == "pypy" or platform_python_implementation == "PyPy")
 pycurl==7.45.6 ; python_version >= "3.12" and python_version < "4.0"
+pydantic-core==2.27.2 ; python_version >= "3.12" and python_version < "4.0"
+pydantic==2.10.6 ; python_version >= "3.12" and python_version < "4.0"
 pydeck==0.9.1 ; python_version >= "3.12" and python_version < "4.0"
 pygments==2.19.1 ; python_version >= "3.12" and python_version < "4.0"
 pymdown-extensions==10.14.3 ; python_version >= "3.12" and python_version < "4.0"
-pyparsing==3.2.1 ; python_version >= "3.12" and python_version < "4.0"
+pyparsing==3.2.2 ; python_version >= "3.12" and python_version < "4.0"
 pyproject-hooks==1.2.0 ; python_version >= "3.12" and python_version < "4.0"
 python-dateutil==2.9.0.post0 ; python_version >= "3.12" and python_version < "4.0"
 python-dotenv==1.0.1 ; python_version >= "3.12" and python_version < "4.0"
@@ -167,6 +176,7 @@ pywin32==309 ; python_version >= "3.12" and python_version < "4.0" and (sys_plat
 pyyaml==6.0.2 ; python_version >= "3.12" and python_version < "4.0"
 pyzmq==26.3.0 ; python_version >= "3.12" and python_version < "4.0"
 rapidfuzz==3.12.2 ; python_version >= "3.12" and python_version < "4.0"
+realtime==2.4.1 ; python_version >= "3.12" and python_version < "4.0"
 referencing==0.36.2 ; python_version >= "3.12" and python_version < "4.0"
 regex==2024.11.6 ; python_version >= "3.12" and python_version < "4.0"
 requests-toolbelt==1.0.0 ; python_version >= "3.12" and python_version < "4.0"
@@ -191,6 +201,7 @@ soupsieve==2.6 ; python_version >= "3.12" and python_version < "4.0"
 st-annotated-text==4.0.2 ; python_version >= "3.12" and python_version < "4.0"
 st-theme==1.2.3 ; python_version >= "3.12" and python_version < "4.0"
 stack-data==0.6.3 ; python_version >= "3.12" and python_version < "4.0"
+storage3==0.11.3 ; python_version >= "3.12" and python_version < "4.0"
 streamlit-avatar==0.1.3 ; python_version >= "3.12" and python_version < "4.0"
 streamlit-camera-input-live==0.2.0 ; python_version >= "3.12" and python_version < "4.0"
 streamlit-card==1.0.2 ; python_version >= "3.12" and python_version < "4.0"
@@ -204,6 +215,9 @@ streamlit-option-menu==0.4.0 ; python_version >= "3.12" and python_version < "4.
 streamlit-toggle-switch==1.0.2 ; python_version >= "3.12" and python_version < "4.0"
 streamlit-vertical-slider==2.5.5 ; python_version >= "3.12" and python_version < "4.0"
 streamlit==1.43.2 ; python_version >= "3.12" and python_version < "4.0"
+strenum==0.4.15 ; python_version >= "3.12" and python_version < "4.0"
+supabase==2.14.0 ; python_version >= "3.12" and python_version < "4.0"
+supafunc==0.9.3 ; python_version >= "3.12" and python_version < "4.0"
 sympy==1.13.1 ; python_version >= "3.12" and python_version < "4.0"
 tabulate==0.9.0 ; python_version >= "3.12" and python_version < "4.0"
 tblib==3.0.0 ; python_version >= "3.12" and python_version < "4.0"
@@ -235,6 +249,7 @@ validators==0.34.0 ; python_version >= "3.12" and python_version < "4.0"
 virtualenv==20.29.3 ; python_version >= "3.12" and python_version < "4.0"
 watchdog==6.0.0 ; python_version >= "3.12" and python_version < "4.0"
 wcwidth==0.2.13 ; python_version >= "3.12" and python_version < "4.0"
+websockets==14.2 ; python_version >= "3.12" and python_version < "4.0"
 werkzeug==3.1.3 ; python_version >= "3.12" and python_version < "4.0"
 wheel==0.45.1 ; python_version >= "3.12" and python_version < "4.0"
 wrapt==1.17.2 ; python_version >= "3.12" and python_version < "4.0"

sentimentPolarity_analysis/sentiment_analysis_main.py

@@ -249,33 +249,42 @@ def show_sentiment_analysis():
 
         # model, tokenizer = load_model()
         # model, tokenizer = load_selected_model(selected_model)
-        with st.spinner("Please wait..."):
-            model, tokenizer, predict_func = load_selected_model(selected_model)
-            device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-            if model is None:
-                st.error(
-                    "⚠️ Error: Model failed to load! Check model selection or configuration.")
-                st.stop()
+        col_spinner, col_warning = st.columns(2)
+        with col_warning:
+            warning_placeholder = st.empty()
+            warning_placeholder.warning("Don't change the text data or any input parameters or switch models or pages while inference is loading...")
 
-            # model.to(device)
-            if hasattr(model, "to"):
-                model.to(device)
+        with col_spinner:
+            with st.spinner("Please wait, inference is loading..."):
+                model, tokenizer, predict_func = load_selected_model(selected_model)
+                device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-            # predictions = predict(user_input, model, tokenizer, device)
+                if model is None:
+                    st.error(
+                        "⚠️ Error: Model failed to load! Check model selection or configuration.")
+                    st.stop()
 
-            predictions = predict_func(user_input, model, tokenizer, device)
+                # model.to(device)
+                if hasattr(model, "to"):
+                    model.to(device)
 
-            # Squeeze predictions to remove extra dimensions
-            predictions_array = predictions.squeeze()
+                # predictions = predict(user_input, model, tokenizer, device)
 
-            # Convert to binary predictions (argmax)
-            binary_predictions = np.zeros_like(predictions_array)
-            max_indices = np.argmax(predictions_array)
-            binary_predictions[max_indices] = 1
+                predictions = predict_func(user_input, model, tokenizer, device)
+
+                # Squeeze predictions to remove extra dimensions
+                predictions_array = predictions.squeeze()
+
+                # Convert to binary predictions (argmax)
+                binary_predictions = np.zeros_like(predictions_array)
+                max_indices = np.argmax(predictions_array)
+                binary_predictions[max_indices] = 1
 
             # Update progress bar for prediction and model loading
-            update_progress(progress_bar, 10, 100)
+        update_progress(progress_bar, 10, 100)
+
+        warning_placeholder.empty()
 
         # Display raw predictions
         st.write(f"**Predicted Sentiment Scores:** {predictions_array}")

transformation_and_Normalization/transformationNormalization_main.py

@@ -8,9 +8,17 @@ from imports import *
 import os
 import sys
 import time
+import uuid
+
+from dotenv import load_dotenv
+import psycopg2
+from supabase import create_client, Client
+from datetime import datetime, timezone
 
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), )))
 
+env_path = os.path.join(os.path.dirname(__file__), "..", ".devcontainer", ".env")
+
 # from transformers.utils import move_cache_to_trash
 # from huggingface_hub import delete_cache
 
@@ -34,6 +42,17 @@ current_tokenizer = None
 
 # Enabling Resource caching
 
+# Load environment variables from .env
+# load_dotenv()
+
+# @st.cache_resource
+# DATABASE_URL = os.environ.get("DATABASE_URL")
+
+# def get_connection():
+#     #  """Establish a connection to the database."""
+#     # return psycopg2.connect(os.environ.get("DATABASE_URL"))
+#     supabase: Client = create_client(os.environ.get("SUPABASE_URL"), os.environ.get("anon_key"))
+#     return supabase
 
 # @st.cache_resource
 def load_model_config():
@@ -175,10 +194,17 @@ def update_progress(progress_bar, start, end, delay=0.1):
 
 # Function to update session state when model changes
 def on_model_change():
+    st.cache_data.clear()
     st.cache_resource.clear()
     free_memory()
     st.session_state.model_changed = True  # Mark model as changed
 
+    # Reset flags to trigger new prediction and show feedback form
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    st.session_state.last_processed_input = ""
+
 
 # Function to update session state when text changes
 
@@ -186,14 +212,70 @@ def on_model_change():
 def on_text_change():
     st.session_state.text_changed = True  # Mark text as changed
 
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
 
 def update_top_k_from_slider():
     st.session_state.top_k = st.session_state.top_k_slider
 
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
 
 def update_top_k_from_input():
     st.session_state.top_k = st.session_state.top_k_input
 
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_temperature_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_top_p_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_beam_checkbox_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_enable_sampling_checkbox_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_enable_earlyStopping_checkbox_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_max_new_tokens_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
+
+def on_num_return_sequences_change():
+    st.session_state.prediction_generated = False
+    st.session_state.feedback_submitted = False
+    st.session_state.predictions = None
+    # st.session_state.last_processed_input = ""
 
 # Initialize session state variables
 if "selected_model" not in st.session_state:
@@ -256,24 +338,28 @@ def transform_and_normalize():
         "Enter text for emotions mood-tag analysis:", key="user_input_stage3", on_change=on_text_change
     )
 
+    if st.session_state.get("last_processed_input", "") != user_input:
+        st.session_state.prediction_generated = False
+        st.session_state.feedback_submitted = False
+
     st.markdown("#### Generation Parameters")
     col1, col2 = st.columns(2)
 
     with col1:
-        use_beam = st.checkbox("Use Beam Search", value=False)
+        use_beam = st.checkbox("Use Beam Search", value=False, on_change=on_beam_checkbox_change)
         if use_beam:
-            beams = st.number_input("Number of beams:", min_value=1, max_value=10, value=3, step=1)
+            beams = st.number_input("Number of beams:", min_value=1, max_value=10, value=3, step=1, on_change=on_beam_checkbox_change)
             do_sample = False
             temp = None
             top_p = None
             top_k = None
         else:
             beams = None
-            do_sample = st.checkbox("Enable Sampling", value=True)
-            temp = st.slider("Temperature:", min_value=0.1, max_value=2.0, value=0.4, step=0.1) if do_sample else None
+            do_sample = st.checkbox("Enable Sampling", value=True, on_change=on_enable_sampling_checkbox_change)
+            temp = st.slider("Temperature:", min_value=0.1, max_value=2.0, value=0.4, step=0.1, on_change=on_temperature_change) if do_sample else None
 
     with col2:
-        top_p = st.slider("Top-p (nucleus sampling):", min_value=0.0, max_value=1.0, value=0.9, step=0.05) if (not use_beam and do_sample) else None
+        top_p = st.slider("Top-p (nucleus sampling):", min_value=0.0, max_value=1.0, value=0.9, step=0.05, on_change=on_top_p_change) if (not use_beam and do_sample) else None
         model_config = MODEL_OPTIONS[selected_model]
         max_top_k = model_config.get("max_top_k", 50)
         if not use_beam and do_sample:
@@ -305,8 +391,8 @@ def transform_and_normalize():
 
     col_tokens, col_return = st.columns(2)
     with col_tokens:
-        max_new_tokens = st.number_input("Max New Tokens:", min_value=1, value=1024, step=1)
-        early_stopping = st.checkbox("Early Stopping", value=True)
+        max_new_tokens = st.number_input("Max New Tokens:", min_value=1, value=1024, step=1, on_change=on_max_new_tokens_change)
+        early_stopping = st.checkbox("Early Stopping", value=True, on_change=on_enable_earlyStopping_checkbox_change)
     with col_return:
         if beams is not None:
             num_return_sequences = st.number_input(
@@ -314,7 +400,8 @@ def transform_and_normalize():
                 min_value=1,
                 max_value=beams,
                 value=1,
-                step=1
+                step=1,
+                on_change=on_num_return_sequences_change
             )
         else:
             num_return_sequences = st.number_input(
@@ -322,39 +409,51 @@ def transform_and_normalize():
                 min_value=1,
                 max_value=3,
                 value=1,
-                step=1
+                step=1,
+                on_change=on_num_return_sequences_change
             )
         user_input_copy = user_input
 
     current_time = time.time()
-    if user_input.strip() and (current_time - st.session_state.last_change >= 1.25):
+    if user_input.strip() and (current_time - st.session_state.last_change >= 1.25) and st.session_state.get("prediction_generated", False) is False:
         st.session_state.last_processed_input = user_input
         
         progress_bar = st.progress(0)
         update_progress(progress_bar, 0, 10)
-        with st.spinner("Please wait, don'n change the text data or any input parameters or switch models or pages while we are loading inference..."):
-            model, tokenizer, predict_func = load_selected_model(selected_model)
-            device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-            if model is None:
-                st.error("⚠️ Error: Model failed to load!")
-                st.stop()
-            if hasattr(model, "to"):
-                model.to(device)
-            predictions = predict_func(
-                model, tokenizer, user_input, device,
-                num_return_sequences,
-                beams,
-                do_sample,
-                temp,
-                top_p,
-                final_top_k,
-                max_new_tokens,
-                early_stopping
-            )
+        col_spinner, col_warning = st.columns(2)
+
+        with col_warning:
+            warning_placeholder = st.empty()
+            warning_placeholder.warning("Don't change the text data or any input parameters or switch models or pages while inference is loading...")
+
+        with col_spinner:
+            with st.spinner("Please wait, inference is loading..."):
+                model, tokenizer, predict_func = load_selected_model(selected_model)
+                device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+                if model is None:
+                    st.error("⚠️ Error: Model failed to load!")
+                    st.stop()
+                if hasattr(model, "to"):
+                    model.to(device)
+                predictions = predict_func(
+                    model, tokenizer, user_input, device,
+                    num_return_sequences,
+                    beams,
+                    do_sample,
+                    temp,
+                    top_p,
+                    final_top_k,
+                    max_new_tokens,
+                    early_stopping
+                )
+
         update_progress(progress_bar, 10, 100)
-        
+
+        warning_placeholder.empty()
+
+        st.session_state.predictions = predictions
         if len(predictions) > 1:
-            st.write("### Predictions:")
+            st.write("### Most Probable Predictions:")
             for i, pred in enumerate(predictions, start=1):
                 st.markdown(f"**Prediction Sequence {i}:** {pred}")
         else:
@@ -363,6 +462,71 @@ def transform_and_normalize():
         progress_bar.empty()
     # else:
     #     st.info("Waiting for input to settle...")
+    
+        # Mark that a prediction has been generated
+        st.session_state.prediction_generated = True
+        
+    else:
+        # If predictions are already generated, display the stored ones
+        if st.session_state.get("predictions"):
+            predictions = st.session_state.predictions
+            if len(predictions) > 1:
+                st.write("### Most Probable Predictions:")
+                for i, pred in enumerate(predictions, start=1):
+                    st.markdown(f"**Prediction Sequence {i}:** {pred}")
+            else:
+                st.write("### Predicted Sequence:")
+                st.write(predictions[0])
+
+    # Only show the feedback form if a prediction has been generated
+    if st.session_state.get("prediction_generated", False):
+        if not st.session_state.get("feedback_submitted", False):
+            with st.form("feedback_form", clear_on_submit=True, border=False):
+                st.error("New API keys are coming in Q2 2025, May 1st, old API authentication will be deprecated and blocked by Postgrest.")
+                st.warning("This form and database are running in test mode, please be careful with your data.")
+                st.write("### Data Collection Form")
+                st.write("#### If the predictions generated are wrong, please provide feedback to help improve the model.")
+                col1, col2 = st.columns(2)
+                with col1:
+                    feedback = st.text_input(
+                        "Enter the correct expanded standard formal English text:",
+                        key="feedback_input"
+                    )
+                with col2:
+                    feedback2 = st.text_input(
+                        "Enter any one of the wrongly predicted text:",
+                        key="feedback_input2"
+                    )
+                submit_feedback = st.form_submit_button("Submit Feedback")
+                if submit_feedback and feedback.strip() and feedback2.strip():
+                    data_to_insert = {
+                        # "id" : str(uuid.uuid4()),            # text
+                        # "created_at": datetime.now(timezone.utc).isoformat(),       # timestamp
+                        "input_text": user_input,            # text
+                        "correct_text_by_user": feedback,    # text
+                        "model_used": selected_model,        # text
+                        "wrong_pred_any": feedback2 if feedback2.strip() else ""
+                    }
+                    # Here we use the supabase client already created above
+                    # supabase = get_connection()
+                    # load_dotenv()
+                    # print("SUPABASE_URL:", os.environ.get("SUPABASE_URL"))
+                    # print("anon_key:", os.environ.get("anon_key"))
+                    # print("table3_name:", os.environ.get("table3_name"))
+                    # load_dotenv(dotenv_path=env_path)
+                    load_dotenv()
+                    # supabase: Client = create_client(os.environ.get("SUPABASE_URL"), os.environ.get("anon_key"))
+                    # response = supabase.table(os.environ.get("table3_name")).insert(data_to_insert, returning="minimal").execute()
+                    try:
+                        supabase: Client = create_client(os.environ.get("SUPABASE_DB_TACHYGRAPHY_DB_URL"), os.environ.get("SUPABASE_DB_TACHYGRAPHY_ANON_API_KEY"))
+                        response = supabase.table("SUPABASE_DB_TACHYGRAPHY_DB_STAGE3_TABLE").insert(data_to_insert, returning="minimal").execute()
+                        st.success("Feedback submitted successfully!")
+                        st.session_state.feedback_submitted = True
+                    except Exception as e:
+                        st.error(f"Feedback submission failed: {e}")
+
+        else:
+            st.info("Feedback already submitted for this prediction.")
 
 if __name__ == "__main__":
     transform_and_normalize()
@@ -370,6 +534,11 @@ if __name__ == "__main__":
 
 
 
+
+
+
+
+
 # # Main function to show the app
 # def transform_and_normalize():