Update app.py

app.py

@@ -3,6 +3,7 @@ from scrape_3gpp import *
 from excel_chat import *
 from classification import *
 from chart_generation import *
+from charts_advanced import *
 
 
 # def update_label(label1):
@@ -29,12 +30,25 @@ with gr.Blocks() as demo:
         btn_classif = gr.Button("Categorize")
 
     with gr.Tab("Charts Generation"):
-        gr.Markdown("## Deeper Analysis coming soon...")
         with gr.Row():
             dd_label1 = gr.Dropdown(label="Source Column", multiselect=False)
             dd_label2 = gr.Dropdown(label="Source Column", multiselect=False)
         btn_chart = gr.Button("Generate Bar Plot")
         plt_figure = gr.Plot()
+
+    with gr.Tab("Chart Generation"):
+        with gr.Tab("Overall"):
+            btn_overall = gr.Button("Overall Review")              
+        with gr.Tab("By Expert"):
+            rd_exp=gr.Radio(["Satellite Networks / Nicolas", "Emergency Communication / Dorin", "Trend Analysis / Ly-Thanh", "Security Trust / Mireille", "Distributed Networks / Guillaume", "Network Security / Khawla", "USIM Management / Vincent", "Eco-Design / Pierre"], label="Expert Name")
+            btn_expert = gr.Button("Top 10 by expert")
+        with gr.Tab("By Company"):
+            tb_com=gr.Textbox(label="Company Name",info="You can write 1, 2 or 3 company names at the same time")
+            btn_type = gr.Button("Document type by company")
+        with gr.Row():
+            plt_chart = gr.Plot(label="Graphique")
+            plt_chart2 = gr.Plot(label="Graphique")
+            plt_chart3 = gr.Plot(label="Graphique")
         
     with gr.Accordion("Excel Preview", open=False):
         df_output = gr.DataFrame()
@@ -42,10 +56,20 @@ with gr.Blocks() as demo:
     fi_excel = gr.File(label="Excel File")
 
     fi_excel.change(get_columns, inputs=[fi_excel], outputs=[dd_source_ask, dd_source_class, dd_label1, dd_label2, 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])
+    
     btn_chart.click(create_bar_plot, inputs=[fi_excel, dd_label1, dd_label2], outputs=[plt_figure])
+    
+    btn_overall.click(generate_company_chart,inputs=[fi_excel], outputs=[plt_chart])
+    btn_overall.click(status_chart,inputs=[fi_excel], outputs=[plt_chart2])
+    btn_overall.click(category_chart,inputs=[fi_excel], outputs=[plt_chart3])
+    btn_expert.click(chart_by_expert,inputs=[fi_excel,rd_exp], outputs=[plt_chart])
+    btn_type.click(company_document_type,inputs=[fi_excel,tb_com], outputs=[plt_chart])
     # dd_label1.change(update_label, inputs=[dd_label1], outputs=[dd_label2])