Update app.py
Browse files
app.py
CHANGED
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@@ -285,12 +285,12 @@ def create_ui(agent):
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chatbot = gr.Chatbot(
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label="Analysis Conversation",
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height=600,
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-
bubble_full_width=False,
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show_copy_button=True,
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avatar_images=(
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"assets/user.png",
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"assets/assistant.png"
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)
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)
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with gr.Column(scale=1):
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final_summary = gr.Markdown(
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@@ -324,11 +324,22 @@ def create_ui(agent):
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min_width=100
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)
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label="
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visible=False
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)
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prompt_template = """
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Analyze the patient record excerpt for missed diagnoses only. Provide a concise, evidence-based summary as a single paragraph without headings or bullet points. Include specific clinical findings (e.g., 'elevated blood pressure (160/95) on page 10'), their potential implications (e.g., 'may indicate untreated hypertension'), and a recommendation for urgent review. Do not include other oversight categories like medication conflicts. If no missed diagnoses are found, state 'No missed diagnoses identified' in a single sentence.
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Patient Record Excerpt (Chunk {0} of {1}):
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@@ -364,7 +375,7 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"
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}
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extracted = []
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@@ -378,9 +389,10 @@ Patient Record Excerpt (Chunk {0} of {1}):
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file_type = f.name.split(".")[-1].lower()
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futures.append(executor.submit(process_file, f.name, file_type))
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for future in as_completed(futures):
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try:
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extracted.extend(future.result())
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except Exception as e:
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logger.error(f"File processing error: {e}")
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extracted.append({"error": f"Error processing file: {str(e)}"})
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@@ -391,7 +403,7 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"
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}
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# Convert extracted data to JSON text
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@@ -411,10 +423,9 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"
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label=f"Analyzing chunk {chunk_idx}/{len(chunks)}"
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)
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}
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@@ -428,9 +439,9 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"
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-
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-
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)
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}
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@@ -451,7 +462,7 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": gr.File(report_path) if report_path and os.path.exists(report_path) else None,
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"final_summary": summary,
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"
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}
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except Exception as e:
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@@ -461,7 +472,7 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": None,
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"final_summary": f"Error occurred during analysis: {str(e)}",
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"
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}
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def clear_and_start():
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@@ -470,27 +481,28 @@ Patient Record Excerpt (Chunk {0} of {1}):
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"download_output": None,
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"final_summary": "",
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"msg_input": "",
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"file_upload": None
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}
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# Event handlers
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send_btn.click(
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analyze,
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inputs=[msg_input, chatbot, file_upload],
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outputs=[chatbot, download_output, final_summary,
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show_progress="hidden"
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)
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msg_input.submit(
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analyze,
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inputs=[msg_input, chatbot, file_upload],
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outputs=[chatbot, download_output, final_summary,
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show_progress="hidden"
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)
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demo.load(
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clear_and_start,
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outputs=[chatbot, download_output, final_summary, msg_input, file_upload],
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queue=False
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)
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@@ -509,8 +521,7 @@ if __name__ == "__main__":
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server_port=7860,
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show_error=True,
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allowed_paths=[report_dir],
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share=False
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favicon_path="assets/favicon.ico"
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)
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except Exception as e:
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logger.error(f"Failed to launch app: {e}")
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chatbot = gr.Chatbot(
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label="Analysis Conversation",
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height=600,
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show_copy_button=True,
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avatar_images=(
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"assets/user.png",
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"assets/assistant.png"
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),
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render=False # Disable auto-render for better streaming control
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)
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with gr.Column(scale=1):
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final_summary = gr.Markdown(
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min_width=100
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)
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progress_text = gr.Textbox(
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label="Progress",
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visible=False,
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interactive=False
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)
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def update_progress(current, total, stage=""):
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progress = f"{stage} - {current}/{total}" if stage else f"{current}/{total}"
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return {
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progress_text: gr.Textbox(
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value=progress,
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visible=True,
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label=f"Progress: {progress}"
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)
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}
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prompt_template = """
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Analyze the patient record excerpt for missed diagnoses only. Provide a concise, evidence-based summary as a single paragraph without headings or bullet points. Include specific clinical findings (e.g., 'elevated blood pressure (160/95) on page 10'), their potential implications (e.g., 'may indicate untreated hypertension'), and a recommendation for urgent review. Do not include other oversight categories like medication conflicts. If no missed diagnoses are found, state 'No missed diagnoses identified' in a single sentence.
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Patient Record Excerpt (Chunk {0} of {1}):
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"progress_text": gr.Textbox(visible=True, value="Starting analysis...")
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}
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extracted = []
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file_type = f.name.split(".")[-1].lower()
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futures.append(executor.submit(process_file, f.name, file_type))
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for i, future in enumerate(as_completed(futures), 1):
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try:
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extracted.extend(future.result())
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yield update_progress(i, len(files), "Processing files")
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except Exception as e:
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logger.error(f"File processing error: {e}")
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extracted.append({"error": f"Error processing file: {str(e)}"})
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"progress_text": gr.Textbox(visible=True, value="Files processed, analyzing content...")
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}
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# Convert extracted data to JSON text
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"progress_text": gr.Textbox(
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visible=True,
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value=f"Analyzing chunk {chunk_idx}/{len(chunks)}"
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)
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}
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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"progress_text": gr.Textbox(
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visible=True,
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value=f"Analyzing chunk {chunk_idx}/{len(chunks)}"
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)
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}
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"chatbot": history,
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"download_output": gr.File(report_path) if report_path and os.path.exists(report_path) else None,
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"final_summary": summary,
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"progress_text": gr.Textbox(visible=False)
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}
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except Exception as e:
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"chatbot": history,
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"download_output": None,
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"final_summary": f"Error occurred during analysis: {str(e)}",
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"progress_text": gr.Textbox(visible=False)
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}
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def clear_and_start():
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"download_output": None,
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"final_summary": "",
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"msg_input": "",
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"file_upload": None,
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"progress_text": gr.Textbox(visible=False)
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}
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# Event handlers
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send_btn.click(
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analyze,
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inputs=[msg_input, chatbot, file_upload],
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outputs=[chatbot, download_output, final_summary, progress_text],
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show_progress="hidden"
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)
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msg_input.submit(
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analyze,
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inputs=[msg_input, chatbot, file_upload],
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outputs=[chatbot, download_output, final_summary, progress_text],
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show_progress="hidden"
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)
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demo.load(
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clear_and_start,
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outputs=[chatbot, download_output, final_summary, msg_input, file_upload, progress_text],
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queue=False
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)
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server_port=7860,
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show_error=True,
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allowed_paths=[report_dir],
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share=False
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)
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except Exception as e:
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logger.error(f"Failed to launch app: {e}")
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