URL Endpoint update

.github/workflows/deploy_to_HF_space_DIRECT.yml

@@ -76,8 +76,8 @@ jobs:
         env:
           HF_READ_WRITE_TOKEN: ${{ secrets.HF_READ_WRITE_TOKEN }}
         run: |
-          git remote add space https://huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
-          git push --force https://${{ secrets.HF_USERNAME }}:${{ secrets.HF_READ_WRITE_TOKEN }}@huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
+          git remote add space https://huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
+          git push --force https://${{ secrets.HF_USERNAME }}:${{ secrets.HF_READ_WRITE_TOKEN }}@huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
         
 
 
@@ -214,7 +214,7 @@ jobs:
 
 #       - name: Clone Hugging Face Space repository
 #         run: |
-#           git clone https://HF_USERNAME:${{ secrets.HF_TOKEN }}@huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder hf-space
+#           git clone https://HF_USERNAME:${{ secrets.HF_TOKEN }}@huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder hf-space
 
 #       - name: Copy repository files to HF Space
 #         run: |
@@ -227,7 +227,7 @@ jobs:
 #       #   run: |
 #       #     cd hf-space
 #       #     git init
-#       #     git remote add origin https://huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
+#       #     git remote add origin https://huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
 #       #     git checkout -b main
 #       #     git add .
 #       #     git commit -m "Update deployment via GitHub Actions"
@@ -240,7 +240,7 @@ jobs:
 #           git init
 #           # Remove existing origin if it exists
 #           git remote remove origin || true
-#           git remote add origin https://huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
+#           git remote add origin https://huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
 #           git checkout -b main
 #           git add .
 #           git commit -m "Update deployment via GitHub Actions"

.github/workflows/dfploy_to_HF_space_DOCKER

@@ -28,7 +28,7 @@ jobs:
 
 
       - name: Build the Docker image
-        run: docker build -t huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder .
+        run: docker build -t huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder .
 
       - name: Push the Docker image to Hugging Face
-        run: docker push huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder
+        run: docker push huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder

dashboard.py

@@ -90,10 +90,10 @@ def show_dashboard():
     st.write("""
              - Training Source: [GitHub @ Tachygraphy Micro-text Analysis & Normalization](https://github.com/ArchismanKarmakar/Tachygraphy-Microtext-Analysis-And-Normalization)
              - Kaggle Collections: [Kaggle @ Tachygraphy Micro-text Analysis & Normalization](https://www.kaggle.com/datasets/archismancoder/dataset-tachygraphy/data?select=Tachygraphy_MicroText-AIO-V3.xlsx)
-             - Hugging Face Org: [Hugging Face @ Tachygraphy Micro-text Analysis & Normalization](https://huggingface.co/tachygraphy-microtrext-norm-org)
+             - Hugging Face Org: [Hugging Face @ Tachygraphy Micro-text Analysis & Normalization](https://huggingface.co/tachygraphy-microtext-normalization-iemk)
              - Deployment Source: [GitHub](https://github.com/ArchismanKarmakar/Tachygraphy-Microtext-Analysis-And-Normalization-Deployment-Source-HuggingFace_Streamlit_JPX14032025)
              - Streamlit Deployemnt: [Streamlit](https://tachygraphy-microtext.streamlit.app/)
-             - Hugging Face Space Deployment: [Hugging Face Space](https://huggingface.co/spaces/tachygraphy-microtrext-norm-org/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder)
+             - Hugging Face Space Deployment: [Hugging Face Space](https://huggingface.co/spaces/tachygraphy-microtext-normalization-iemk/Tachygraphy-Microtext-Analysis-and-Normalization-ArchismanCoder)
              """)
 
     create_footer()

emotionMoodtag_analysis/config/stage2_models.json

@@ -3,7 +3,7 @@
         "name": "DeBERTa v3 Base for Sequence Classification",
         "type": "hf_automodel_finetuned_dbt3",
         "module_path": "hmv_cfg_base_stage2.model1",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-seqClassfication-LV2-EmotionMoodtags-Batch8",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-seqClassfication-LV2-EmotionMoodtags-Batch8",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "DebertaV2ForSequenceClassification",
         "problem_type": "regression",
@@ -18,7 +18,7 @@
         "name": "DeBERTa v3 Base Custom Model with minimal Regularized Loss",
         "type": "db3_base_custom",
         "module_path": "hmv_cfg_base_stage2.model2",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-Base-Cust-LV2-EmotionMoodtags-minRegLoss",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-Base-Cust-LV2-EmotionMoodtags-minRegLoss",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "EmotionModel",
         "problem_type": "regression",

emotionMoodtag_analysis/hmv_cfg_base_stage2/model1.py

@@ -19,7 +19,7 @@ MODEL_OPTIONS = {
         "name": "DeBERTa v3 Base for Sequence Classification",
         "type": "hf_automodel_finetuned_dbt3",
         "module_path": "hmv_cfg_base_stage2.model1",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-seqClassfication-LV2-EmotionMoodtags-Batch8",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-seqClassfication-LV2-EmotionMoodtags-Batch8",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "DebertaV2ForSequenceClassification",
         "problem_type": "regression",

emotionMoodtag_analysis/hmv_cfg_base_stage2/model2.py

@@ -25,7 +25,7 @@ MODEL_OPTIONS = {
         "name": "DeBERTa v3 Base Custom Model with minimal Regularized Loss",
         "type": "db3_base_custom",
         "module_path": "hmv_cfg_base_stage2.model2",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-Base-Cust-LV2-EmotionMoodtags-minRegLoss",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-Base-Cust-LV2-EmotionMoodtags-minRegLoss",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "EmotionModel",
         "problem_type": "regression",

sentimentPolarity_analysis/config/stage1_models.json

@@ -3,7 +3,7 @@
         "name": "DeBERTa v3 Base for Sequence Classification",
         "type": "hf_automodel_finetuned_dbt3",
         "module_path": "hmv_cfg_base_stage1.model1",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-seqClassfication-LV1-SentimentPolarities-Batch8",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-seqClassfication-LV1-SentimentPolarities-Batch8",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "DebertaV2ForSequenceClassification",
         "problem_type": "multi_label_classification",
@@ -18,7 +18,7 @@
         "name": "DeBERTa v3 Base Custom Model with minimal Regularized Loss",
         "type": "db3_base_custom",
         "module_path": "hmv_cfg_base_stage1.model2",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-Base-Cust-LV1-SentimentPolarities-minRegLoss",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-Base-Cust-LV1-SentimentPolarities-minRegLoss",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "SentimentModel",
         "problem_type": "multi_label_classification",
@@ -33,7 +33,7 @@
         "name": "BERT Base Uncased Custom Model",
         "type": "bert_base_uncased_custom",
         "module_path": "hmv_cfg_base_stage1.model3",
-        "hf_location": "https://huggingface.co/tachygraphy-microtrext-norm-org/BERT-LV1-SentimentPolarities/resolve/main/saved_weights.pt",
+        "hf_location": "https://huggingface.co/tachygraphy-microtext-normalization-iemk/BERT-LV1-SentimentPolarities/resolve/main/saved_weights.pt",
         "tokenizer_class": "AutoTokenizer",
         "model_class": "BERT_architecture",
         "problem_type": "multi_label_classification",
@@ -48,7 +48,7 @@
         "name": "LSTM Custom Model",
         "type": "lstm_uncased_custom",
         "module_path": "hmv_cfg_base_stage1.model4",
-        "hf_location": "tachygraphy-microtrext-norm-org/LSTM-LV1-SentimentPolarities",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/LSTM-LV1-SentimentPolarities",
         "tokenizer_class": "",
         "model_class": "",
         "problem_type": "multi_label_classification",

sentimentPolarity_analysis/hmv_cfg_base_stage1/model1.py

@@ -19,7 +19,7 @@ MODEL_OPTIONS = {
         "name": "DeBERTa v3 Base for Sequence Classification",
         "type": "hf_automodel_finetuned_dbt3",
         "module_path": "hmv_cfg_base_stage1.model1",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-seqClassfication-LV1-SentimentPolarities-Batch8",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-seqClassfication-LV1-SentimentPolarities-Batch8",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "DebertaV2ForSequenceClassification",
         "problem_type": "multi_label_classification",

sentimentPolarity_analysis/hmv_cfg_base_stage1/model2.py

@@ -27,7 +27,7 @@ MODEL_OPTIONS = {
         "name": "DeBERTa v3 Base Custom Model with minimal Regularized Loss",
         "type": "db3_base_custom",
         "module_path": "hmv_cfg_base_stage1.model2",
-        "hf_location": "tachygraphy-microtrext-norm-org/DeBERTa-v3-Base-Cust-LV1-SentimentPolarities-minRegLoss",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/DeBERTa-v3-Base-Cust-LV1-SentimentPolarities-minRegLoss",
         "tokenizer_class": "DebertaV2Tokenizer",
         "model_class": "SentimentModel",
         "problem_type": "multi_label_classification",

sentimentPolarity_analysis/hmv_cfg_base_stage1/model3.py

@@ -29,7 +29,7 @@ MODEL_OPTIONS = {
         "name": "BERT Base Uncased Custom Model",
         "type": "bert_base_uncased_custom",
         "module_path": "hmv_cfg_base_stage1.model3",
-        "hf_location": "https://huggingface.co/tachygraphy-microtrext-norm-org/BERT-LV1-SentimentPolarities/resolve/main/saved_weights.pt",
+        "hf_location": "https://huggingface.co/tachygraphy-microtext-normalization-iemk/BERT-LV1-SentimentPolarities/resolve/main/saved_weights.pt",
         "tokenizer_class": "AutoTokenizer",
         "model_class": "BERT_architecture",
         "problem_type": "multi_label_classification",

sentimentPolarity_analysis/hmv_cfg_base_stage1/model4.py

@@ -37,7 +37,7 @@ MODEL_OPTIONS = {
         "name": "LSTM Custom Model",
         "type": "lstm_uncased_custom",
         "module_path": "hmv_cfg_base_stage1.model4",
-        "hf_location": "tachygraphy-microtrext-norm-org/LSTM-LV1-SentimentPolarities",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/LSTM-LV1-SentimentPolarities",
         "tokenizer_class": "",
         "model_class": "",
         "problem_type": "multi_label_classification",

transformation_and_Normalization/config/stage3_models.json

@@ -3,7 +3,7 @@
         "name": "Facebook BART Base for Conditional Text Generation",
         "type": "hf_automodel_finetuned_fbtctg",
         "module_path": "hmv_cfg_base_stage3.model1",
-        "hf_location": "tachygraphy-microtrext-norm-org/BART-base-HF-Seq2Seq-Trainer-Batch4",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/BART-base-HF-Seq2Seq-Trainer-Batch4",
         "tokenizer_class": "BartTokenizer",
         "model_class": "BartForConditionalGeneration",
         "problem_type": "text_transformamtion_and_normalization",
@@ -18,7 +18,7 @@
         "name": "Microsoft Prophet Net Uncased Large for Conditional Text Generation",
         "type": "hf_automodel_finetuned_mstctg",
         "module_path": "hmv_cfg_base_stage3.model2",
-        "hf_location": "tachygraphy-microtrext-norm-org/ProphetNet_ForCondGen_Uncased_Large_HFTSeq2Seq_Batch4_ngram3",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/ProphetNet_ForCondGen_Uncased_Large_HFTSeq2Seq_Batch4_ngram3",
         "tokenizer_class": "ProphetNetTokenizer",
         "model_class": "ProphetNetForConditionalGeneration",
         "problem_type": "text_transformamtion_and_normalization",
@@ -33,7 +33,7 @@
         "name": "Google T5 v1.1 Base for Conditional Text Generation",
         "type": "hf_automodel_finetuned_gt5tctg",
         "module_path": "hmv_cfg_base_stage3.model3",
-        "hf_location": "tachygraphy-microtrext-norm-org/T5-1.1-HF-seq2seq-Trainer-Batch4",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/T5-1.1-HF-seq2seq-Trainer-Batch4",
         "tokenizer_class": "T5Tokenizer",
         "model_class": "T5ForConditionalGeneration",
         "problem_type": "text_transformamtion_and_normalization",

transformation_and_Normalization/hmv_cfg_base_stage3/model1.py

@@ -17,7 +17,7 @@ MODEL_OPTIONS = {
         "name": "Facebook BART Base for Conditional Text Generation",
         "type": "hf_automodel_finetuned_fbtctg",
         "module_path": "hmv_cfg_base_stage3.model1",
-        "hf_location": "tachygraphy-microtrext-norm-org/BART-base-HF-Seq2Seq-Trainer-Batch4",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/BART-base-HF-Seq2Seq-Trainer-Batch4",
         "tokenizer_class": "BartTokenizer",
         "model_class": "BartForConditionalGeneration",
         "problem_type": "text_transformamtion_and_normalization",

transformation_and_Normalization/hmv_cfg_base_stage3/model2.py

@@ -17,7 +17,7 @@ MODEL_OPTIONS = {
         "name": "Microsoft Prophet Net Uncased Large for Conditional Text Generation",
         "type": "hf_automodel_finetuned_mstctg",
         "module_path": "hmv_cfg_base_stage3.model2",
-        "hf_location": "tachygraphy-microtrext-norm-org/ProphetNet_ForCondGen_Uncased_Large_HFTSeq2Seq_Batch4_ngram3",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/ProphetNet_ForCondGen_Uncased_Large_HFTSeq2Seq_Batch4_ngram3",
         "tokenizer_class": "ProphetNetTokenizer",
         "model_class": "ProphetNetForConditionalGeneration",
         "problem_type": "text_transformamtion_and_normalization",

transformation_and_Normalization/hmv_cfg_base_stage3/model3.py

@@ -17,7 +17,7 @@ MODEL_OPTIONS = {
         "name": "Google T5 v1.1 Base for Conditional Text Generation",
         "type": "hf_automodel_finetuned_gt5tctg",
         "module_path": "hmv_cfg_base_stage3.model3",
-        "hf_location": "tachygraphy-microtrext-norm-org/T5-1.1-HF-seq2seq-Trainer-Batch4",
+        "hf_location": "tachygraphy-microtext-normalization-iemk/T5-1.1-HF-seq2seq-Trainer-Batch4",
         "tokenizer_class": "T5Tokenizer",
         "model_class": "T5ForConditionalGeneration",
         "problem_type": "text_transformamtion_and_normalization",