syncing with huggingface

.github/workflows/hugging-face.yaml

@@ -15,4 +15,4 @@ jobs:
       - name: Push to hub
         env:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
-        run: git push https://zaibutcooler:[email protected]/spaces/zaibutcooler/burmese-gpt main
+        run: git push https://zaibutcooler:[email protected]/spaces/zaibutcooler/burmese-gpt --force main

space.py

@@ -1,16 +1,52 @@
 import streamlit as st
 
-def main():
-    st.title("Burmese GPT")
+# Set up the page layout
+st.set_page_config(
+    page_title="Burmese GPT",
+    page_icon=":speech_balloon:",
+    layout="wide"
+)
 
-    video_source = st.sidebar.radio("Select feature:", ("Audio Generator", "Text Predictor",))
+# Create a sidebar with a title and a brief description
+st.sidebar.title("Burmese GPT")
+st.sidebar.write("A language model app for generating and chatting in Burmese.")
 
-    if video_source == "Audio Generator":
-        pass
+# Create a selectbox to choose the view
+view_options = ["Sampling", "Chat Interface"]
+selected_view = st.sidebar.selectbox("Select a view:", view_options)
 
-    else:
-        pass
+# Create a main area
+if selected_view == "Sampling":
+    st.title("Sampling")
+    st.write("Generate text using the pre-trained model:")
 
+    # Create a text input field for the prompt
+    prompt = st.text_input("Prompt:", value="")
 
-if __name__ == "__main__":
-    main()
+    # Create a slider to choose the temperature
+    temperature = st.slider("Temperature:", min_value=0.0, max_value=1.0, value=0.5)
+
+    # Create a button to generate text
+    generate_button = st.button("Generate")
+
+    # Create an output area to display the generated text
+    output_area = st.text_area("Generated Text:", height=200, disabled=True)
+
+    # Add some space between the input and output areas
+    st.write("")
+
+elif selected_view == "Chat Interface":
+    st.title("Chat Interface")
+    st.write("Chat with the fine-tuned model:")
+
+    # Create a text input field for the user input
+    user_input = st.text_input("You:", value="")
+
+    # Create a button to send the input to the model
+    send_button = st.button("Send")
+
+    # Create an output area to display the model's response
+    response_area = st.text_area("Model:", height=200, disabled=True)
+
+    # Add some space between the input and output areas
+    st.write("")