Update app.py

app.py

@@ -10,28 +10,28 @@ with gr.Blocks() as demo:
         gr.Markdown(" Put either just a link, or a link and an excel file with an 'Actions' column")
         tb_url = gr.Textbox(label="URL (e.g. https://www.3gpp.org/ftp/TSG_SA/WG1_Serv/TSGS1_105_Athens/Docs)")
         btn_extract = gr.Button("Extract excel from URL")
-        status_message = gr.Textbox(label="Status")
+        tb_status_message = gr.Textbox(label="Status")
 
     with gr.Tab("Query on columns with mistral"):
-        dd_source = gr.Dropdown(label="Source Column(s)", multiselect=True)
+        dd_source_ask = gr.Dropdown(label="Source Column(s)", multiselect=True)
         tb_destcol = gr.Textbox(label="Destination column label (e.g. Summary, ELI5, PAB)")
         tb_prompt = gr.Textbox(label="Prompt")
         tb_filename = gr.Textbox(label="Specific File Name (Optional)")
         mist_button = gr.Button("Ask AI")
             
     with gr.Tab("Classification by topic"):
-        dd_source = gr.Dropdown(label="Source Column(s)", multiselect=False)
-        classif = gr.Button("Categorize")
+        dd_source_class = gr.Dropdown(label="Source Column(s)", multiselect=False)
+        btn_classif = gr.Button("Categorize")
         
     with gr.Accordion("Excel Preview", open=False):
-      df_output = gr.DataFrame()
+        df_output = gr.DataFrame()
         
     fi_excel = gr.File(label="Excel File")
 
     fi_excel.change(get_columns, inputs=[fi_excel], outputs=[dd_source, df_output])
-    btn_extract.click(extractionPrincipale, inputs=[tb_url, fi_excel], outputs=[fi_excel, status_message])
-    mist_button.click(chat_with_mistral, inputs=[dd_source, tb_destcol, tb_prompt, tb_filename, fi_excel, tb_url], outputs=[fi_excel, df_output])
-    classif.click(classification, inputs=[dd_source, fi_excel], outputs=[fi_excel, df_output])
+    btn_extract.click(extractionPrincipale, inputs=[tb_url, fi_excel], outputs=[fi_excel, tb_status_message])
+    mist_button.click(chat_with_mistral, inputs=[dd_source_ask, tb_destcol, tb_prompt, tb_filename, fi_excel, tb_url], outputs=[fi_excel, df_output])
+    btn_classif.click(classification, inputs=[dd_source_class, fi_excel], outputs=[fi_excel, df_output])
 
 
 demo.launch(debug=True)