MaksG commited on
Commit
019928f
1 Parent(s): 19fca94

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -6
app.py CHANGED
@@ -108,14 +108,13 @@ with gr.Blocks() as demo:
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  dd_status = gr.Dropdown(label="Status to look for (Optional)", allow_custom_value=True, multiselect=True, scale=7)
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  btn_search_status = gr.Button("Search for status", scale=2)
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  btn_extract = gr.Button("Extract excel from URL")
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- tb_message = gr.Textbox(label="Status")
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  with gr.Tab("Query on columns with mistral"):
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  dd_source_ask = gr.Dropdown(label="Source Column(s)", multiselect=True)
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  tb_destcol = gr.Textbox(label="Destination column label (e.g. Summary, ELI5, PAB)")
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  dd_prompt = gr.Dropdown(label="Prompt", allow_custom_value=True, multiselect=True, max_choices=1)
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- rd_llm = gr.Radio(["Mistral", "Claude", "Groq"], label="Choose your LLM")
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  with gr.Accordion("Filters", open=False):
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  with gr.Row():
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  dd_searchcol = gr.Dropdown(label="Column to look into (Optional)", multiselect=False, scale=4)
@@ -128,14 +127,14 @@ with gr.Blocks() as demo:
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  df_category = gr.DataFrame(label='categories', value=df_cate, interactive=True)
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  btn_classif = gr.Button("Categorize")
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- with gr.Tab("Charts Generation"):
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  with gr.Row():
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  dd_label1 = gr.Dropdown(label="Label 1", multiselect=False)
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  dd_label2 = gr.Dropdown(label="Label 2", value="", multiselect=False)
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  btn_chart = gr.Button("Generate Bar Plot")
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  plt_figure = gr.Plot()
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- with gr.Tab("Chart Generation"):
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  #gr.Markdown("## 🚧 Actuellement en maintenance 🚧")
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  with gr.Tab("Overall"):
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  btn_overall = gr.Button("Overall Review")
@@ -165,9 +164,9 @@ with gr.Blocks() as demo:
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  #fi_excel.change(get_expert,inputs=fi_excel, outputs=dd_exp)
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  fi_excel.change(get_columns, inputs=[fi_excel], outputs=[dd_source_ask, dd_source_class, dd_label1, dd_label2, dd_searchcol, df_output])
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- btn_extract.click(extractionPrincipale, inputs=[dd_url, fi_excel, dd_status], outputs=[fi_excel, tb_message])
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- mist_button.click(chat_with_mistral, inputs=[dd_source_ask, tb_destcol, dd_prompt, fi_excel, dd_url, dd_searchcol, dd_keywords, rd_llm, st_user], outputs=[fi_excel, df_output]) #todo "
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  btn_classif.click(classification, inputs=[dd_source_class, fi_excel, df_category], outputs=[fi_excel, df_output])
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  dd_status = gr.Dropdown(label="Status to look for (Optional)", allow_custom_value=True, multiselect=True, scale=7)
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  btn_search_status = gr.Button("Search for status", scale=2)
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  btn_extract = gr.Button("Extract excel from URL")
 
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  with gr.Tab("Query on columns with mistral"):
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  dd_source_ask = gr.Dropdown(label="Source Column(s)", multiselect=True)
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  tb_destcol = gr.Textbox(label="Destination column label (e.g. Summary, ELI5, PAB)")
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  dd_prompt = gr.Dropdown(label="Prompt", allow_custom_value=True, multiselect=True, max_choices=1)
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+ dd_llm = gr.Dropdown(["Mistral Tiny","Mistral Small","Mistral Medium", "Claude Sonnet", "Claude Opus", "Groq"], label="Choose your LLM")
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  with gr.Accordion("Filters", open=False):
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  with gr.Row():
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  dd_searchcol = gr.Dropdown(label="Column to look into (Optional)", multiselect=False, scale=4)
 
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  df_category = gr.DataFrame(label='categories', value=df_cate, interactive=True)
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  btn_classif = gr.Button("Categorize")
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+ with gr.Tab(" Personalised Charts Generation"):
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  with gr.Row():
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  dd_label1 = gr.Dropdown(label="Label 1", multiselect=False)
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  dd_label2 = gr.Dropdown(label="Label 2", value="", multiselect=False)
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  btn_chart = gr.Button("Generate Bar Plot")
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  plt_figure = gr.Plot()
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+ with gr.Tab("Meeting Report (charts)"):
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  #gr.Markdown("## 🚧 Actuellement en maintenance 🚧")
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  with gr.Tab("Overall"):
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  btn_overall = gr.Button("Overall Review")
 
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  #fi_excel.change(get_expert,inputs=fi_excel, outputs=dd_exp)
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  fi_excel.change(get_columns, inputs=[fi_excel], outputs=[dd_source_ask, dd_source_class, dd_label1, dd_label2, dd_searchcol, df_output])
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+ btn_extract.click(extractionPrincipale, inputs=[dd_url, fi_excel, dd_status], outputs=[fi_excel])
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+ mist_button.click(chat_with_mistral, inputs=[dd_source_ask, tb_destcol, dd_prompt, fi_excel, dd_url, dd_searchcol, dd_keywords, dd_llm, st_user], outputs=[fi_excel, df_output]) #todo "
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  btn_classif.click(classification, inputs=[dd_source_class, fi_excel, df_category], outputs=[fi_excel, df_output])
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