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Update app.py
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app.py
CHANGED
@@ -196,7 +196,6 @@ def demo():
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with gr.Row():
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qachain_btn = gr.Button("Inizializza Question Answering chain")
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-
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with gr.Tab("Passo 4 - Chatbot"):
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chatbot = gr.Chatbot(height=300)
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with gr.Accordion("Opzioni avanzate - Riferimenti ai documenti", open=False):
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@@ -209,6 +208,12 @@ def demo():
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with gr.Row():
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doc_source3 = gr.Textbox(label="Riferimento 3", lines=2, container=True, scale=20)
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source3_page = gr.Number(label="Pagina", scale=1)
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with gr.Row():
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msg = gr.Textbox(placeholder="Inserisci messaggio (es. 'Di cosa tratta questo documento?')", container=True)
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with gr.Row():
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@@ -220,6 +225,7 @@ def demo():
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db_btn.click(initialize_database, \
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inputs=[document, slider_chunk_size, slider_chunk_overlap], \
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outputs=[vector_db, collection_name, db_progress])
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qachain_btn.click(initialize_LLM, \
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inputs=[llm_btn, slider_temperature, slider_maxtokens, slider_topk, vector_db], \
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outputs=[qa_chain, llm_progress]).then(lambda:[None, "", 0, "", 0, "", 0, "", 0, "", 0], \
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@@ -263,6 +269,5 @@ def demo():
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)
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demo.queue().launch(debug=True)
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if __name__ == "__main__":
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demo()
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with gr.Row():
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qachain_btn = gr.Button("Inizializza Question Answering chain")
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with gr.Tab("Passo 4 - Chatbot"):
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chatbot = gr.Chatbot(height=300)
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with gr.Accordion("Opzioni avanzate - Riferimenti ai documenti", open=False):
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with gr.Row():
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doc_source3 = gr.Textbox(label="Riferimento 3", lines=2, container=True, scale=20)
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source3_page = gr.Number(label="Pagina", scale=1)
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with gr.Row():
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doc_source4 = gr.Textbox(label="Riferimento 4", lines=2, container=True, scale=20)
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source4_page = gr.Number(label="Pagina", scale=1)
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with gr.Row():
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doc_source5 = gr.Textbox(label="Riferimento 5", lines=2, container=True, scale=20)
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source5_page = gr.Number(label="Pagina", scale=1)
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with gr.Row():
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msg = gr.Textbox(placeholder="Inserisci messaggio (es. 'Di cosa tratta questo documento?')", container=True)
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with gr.Row():
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db_btn.click(initialize_database, \
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inputs=[document, slider_chunk_size, slider_chunk_overlap], \
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outputs=[vector_db, collection_name, db_progress])
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qachain_btn.click(initialize_LLM, \
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inputs=[llm_btn, slider_temperature, slider_maxtokens, slider_topk, vector_db], \
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outputs=[qa_chain, llm_progress]).then(lambda:[None, "", 0, "", 0, "", 0, "", 0, "", 0], \
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)
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demo.queue().launch(debug=True)
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if __name__ == "__main__":
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demo()
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