Update app.py
Browse files
app.py
CHANGED
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@@ -290,7 +290,8 @@ def create_ui(agent):
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"assets/user.png",
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"assets/assistant.png"
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),
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render=False
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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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@@ -332,13 +333,11 @@ def create_ui(agent):
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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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)
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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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@@ -375,7 +374,7 @@ 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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"progress_text":
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}
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extracted = []
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@@ -392,7 +391,9 @@ Patient Record Excerpt (Chunk {0} of {1}):
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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
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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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@@ -403,7 +404,7 @@ 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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"progress_text":
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}
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# Convert extracted data to JSON text
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@@ -423,10 +424,7 @@ 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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"progress_text":
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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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# Process and stream the response
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@@ -439,10 +437,7 @@ 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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"progress_text":
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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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combined_response += f"--- Analysis for Chunk {chunk_idx} ---\n{chunk_response}\n"
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@@ -462,7 +457,7 @@ 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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"progress_text": gr.Textbox(visible=False)
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}
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except Exception as e:
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@@ -472,18 +467,18 @@ 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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"progress_text": gr.Textbox(visible=False)
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}
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def clear_and_start():
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return
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"
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"
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# Event handlers
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send_btn.click(
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"assets/user.png",
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"assets/assistant.png"
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),
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render=False,
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bubble_full_width=False
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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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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 gr.Textbox.update(
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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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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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"chatbot": history,
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"download_output": None,
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"final_summary": "",
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"progress_text": update_progress(0, 1, "Starting")
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}
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extracted = []
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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 {
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"progress_text": update_progress(i, len(files), "Processing files")
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}
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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": update_progress(len(files), len(files), "Files processed")
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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": update_progress(chunk_idx, len(chunks), "Analyzing")
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}
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# Process and stream the response
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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": update_progress(chunk_idx, len(chunks), "Analyzing")
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}
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combined_response += f"--- Analysis for Chunk {chunk_idx} ---\n{chunk_response}\n"
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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.update(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.update(visible=False)
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}
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def clear_and_start():
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return [
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[], # chatbot
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None, # download_output
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"", # final_summary
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"", # msg_input
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None, # file_upload
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gr.Textbox.update(visible=False) # progress_text
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]
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# Event handlers
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send_btn.click(
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