Update app.py

app.py

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+import gradio as gr
+from scrape_3gpp.py import *
+from excel_chat.py import *
+from classification.py import *
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Extaction, Classification and AI tool")
+    with gr.Tab("File extraction"):
+        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")
+
+    with gr.Tab("Query on columns with mistral"):
+        dd_source = 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")
+        
+    with gr.Accordion("Excel Preview", open=False):
+      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])
+
+
+demo.launch(debug=True)