Update app.py
Browse files
app.py
CHANGED
@@ -86,14 +86,34 @@ def analyze_ecg_image(image, vision_model="llama-3.2-90b-vision-preview"):
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8. Rhythm classification
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9. Specific patterns (if any)
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Report exact numerical values where visible. Format your response
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If you notice any abnormalities or concerning patterns, highlight them clearly but avoid making definitive diagnoses.
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Important formatting instructions:
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- Use
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- Do not use asterisks (**) for emphasis - use proper HTML formatting instead
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"""
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try:
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@@ -123,7 +143,25 @@ def analyze_ecg_image(image, vision_model="llama-3.2-90b-vision-preview"):
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ecg_analysis = re.sub(r'\*\*([^*]+)\*\*', r'<strong>\1</strong>', ecg_analysis)
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# Make sure all headers are properly formatted (with complete pattern)
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ecg_analysis = re.sub(r'^(#+)\s+(.+)$', r'<
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return ecg_analysis
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@@ -153,26 +191,47 @@ PATIENT HISTORY:
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TIMESTAMP: {timestamp}
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<strong>Summary of Findings</strong>
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(Your summary here)
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<
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<
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Important formatting instructions:
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- Use
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- Do not use asterisks (**) for emphasis - use proper HTML formatting instead
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- For any urgent findings, use <
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"""
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else:
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prompt = f"""You are a highly trained cardiologist assistant. Based on the ECG analysis below, provide a comprehensive assessment of the patient's cardiac status. Indicate clearly if there are any concerning findings that require immediate medical attention.
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@@ -182,26 +241,47 @@ ECG ANALYSIS:
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TIMESTAMP: {timestamp}
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<
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<
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Important formatting instructions:
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- Use
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- Do not use asterisks (**) for emphasis - use proper HTML formatting instead
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- For any urgent findings, use <
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"""
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try:
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@@ -227,7 +307,53 @@ Important formatting instructions:
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assessment_text = re.sub(r'\*\*([^*]+)\*\*', r'<strong>\1</strong>', assessment_text)
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# Make sure all headers are properly formatted (with complete pattern)
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assessment_text = re.sub(r'^(#+)\s+(.+)$', r'<
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return assessment_text
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@@ -256,13 +382,11 @@ MEDICAL ASSESSMENT:
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{assessment}
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TIMESTAMP: {timestamp}
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"""
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if patient_history and patient_history.strip():
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context += f"""PATIENT HISTORY:
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{patient_history}
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"""
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# Construct full chat history for context
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@@ -315,14 +439,14 @@ with gr.Blocks(title="Cardiac ECG Analysis System", theme=gr.themes.Soft()) as a
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with gr.Row():
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with gr.Column(scale=1):
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# Input components
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with gr.Group(): #
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gr.Markdown("### π ECG Image")
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ecg_image = gr.Image(type="pil", label="Upload ECG Image")
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# Display fixed model info
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gr.Markdown("**Vision Model:** llama-3.2-90b-vision-preview")
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analyze_button = gr.Button("Analyze ECG Image", variant="primary")
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with gr.Group(): #
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gr.Markdown("### π Patient Information")
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patient_history_text = gr.Textbox(
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lines=8,
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@@ -335,7 +459,7 @@ with gr.Blocks(title="Cardiac ECG Analysis System", theme=gr.themes.Soft()) as a
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)
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load_history_button = gr.Button("Load Patient History from File")
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with gr.Group(): #
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gr.Markdown("### π§ Assessment Settings")
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# Display fixed model info
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gr.Markdown("**Chat Model:** llama-3.3-70b-versatile")
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@@ -343,18 +467,18 @@ with gr.Blocks(title="Cardiac ECG Analysis System", theme=gr.themes.Soft()) as a
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with gr.Column(scale=1):
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# Output components
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with gr.Group(): #
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gr.Markdown("### π ECG Analysis Results")
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ecg_analysis_output = gr.HTML(label="ECG Analysis", elem_id="ecg-analysis")
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with gr.Group(): #
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gr.Markdown("### π Medical Assessment")
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assessment_output = gr.HTML(label="Assessment", elem_id="assessment-output")
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gr.Markdown("## π¨ββοΈ Doctor's Consultation")
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gr.Markdown("Ask follow-up questions about the patient's ECG results and medical condition.")
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with gr.Group(): #
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chatbot = gr.Chatbot(label="Consultation", height=400)
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with gr.Row():
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message = gr.Textbox(
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8. Rhythm classification
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9. Specific patterns (if any)
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Report exact numerical values where visible. Format your response using HTML list elements for better readability.
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If certain measurements aren't visible in the image, indicate that they cannot be determined.
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If you notice any abnormalities or concerning patterns, highlight them clearly but avoid making definitive diagnoses.
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Format your response like this:
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<h3>ECG Report</h3>
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<ul>
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<li><strong>Date and Time:</strong> {timestamp}</li>
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<li><strong>Heart Rate:</strong> [value] bpm</li>
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<li><strong>PR Interval:</strong> [value] ms</li>
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<!-- Other measurements -->
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</ul>
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<h3>Additional Observations</h3>
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<ul>
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<li>Observation 1</li>
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<li>Observation 2</li>
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</ul>
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<h3>Conclusion</h3>
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<p>[Your conclusion text]</p>
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Important formatting instructions:
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- Use HTML elements for structure (<ul>, <li>, <strong>, <h3>, etc.)
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- Do not use asterisks (**) for emphasis - use proper HTML formatting instead
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- For any urgent findings, use <span style="color:red"> to highlight them
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"""
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try:
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ecg_analysis = re.sub(r'\*\*([^*]+)\*\*', r'<strong>\1</strong>', ecg_analysis)
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# Make sure all headers are properly formatted (with complete pattern)
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ecg_analysis = re.sub(r'^(#+)\s+(.+)$', r'<h3>\2</h3>', ecg_analysis, flags=re.MULTILINE)
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# If there's no HTML formatting at all, wrap in basic structure
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if not re.search(r'<[^>]+>', ecg_analysis):
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lines = ecg_analysis.split('\n')
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formatted_html = "<h3>ECG Report</h3>\n<ul>\n"
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for line in lines:
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if line.strip():
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# Try to identify key-value pairs
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match = re.match(r'^([^:]+):\s*(.+)$', line)
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if match:
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key, value = match.groups()
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formatted_html += f" <li><strong>{key}:</strong> {value}</li>\n"
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else:
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formatted_html += f" <li>{line}</li>\n"
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formatted_html += "</ul>"
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ecg_analysis = formatted_html
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return ecg_analysis
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TIMESTAMP: {timestamp}
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Format your assessment using HTML elements for readability:
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<h3>Summary of Findings</h3>
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<ul>
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<li>Finding 1</li>
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<li>Finding 2</li>
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<!-- etc. -->
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</ul>
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<h3>Key Abnormalities</h3>
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<ul>
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<li>Abnormality 1</li>
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<li>Abnormality 2 (if any)</li>
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<!-- etc. -->
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</ul>
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<h3>Potential Clinical Implications</h3>
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<ul>
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<li>Implication 1</li>
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<li>Implication 2</li>
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<!-- etc. -->
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</ul>
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<h3>Recommendation</h3>
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<ul>
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<li>Recommendation 1 (include urgency level)</li>
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<li>Recommendation 2 (if any)</li>
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<!-- etc. -->
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</ul>
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<h3>Differential Considerations</h3>
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<ul>
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<li>Differential 1</li>
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<li>Differential 2</li>
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<!-- etc. -->
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</ul>
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Important formatting instructions:
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- Use HTML elements for structure (<ul>, <li>, <strong>, <h3>, etc.)
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- Do not use asterisks (**) for emphasis - use proper HTML formatting instead
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- For any urgent findings, use <span style="color:red"> to highlight them
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"""
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else:
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prompt = f"""You are a highly trained cardiologist assistant. Based on the ECG analysis below, provide a comprehensive assessment of the patient's cardiac status. Indicate clearly if there are any concerning findings that require immediate medical attention.
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TIMESTAMP: {timestamp}
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Format your assessment using HTML elements for readability:
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<h3>Summary of Findings</h3>
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<ul>
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<li>Finding 1</li>
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<li>Finding 2</li>
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<!-- etc. -->
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</ul>
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<h3>Key Abnormalities</h3>
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<ul>
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<li>Abnormality 1</li>
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<li>Abnormality 2 (if any)</li>
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<!-- etc. -->
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</ul>
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<h3>Potential Clinical Implications</h3>
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<ul>
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<li>Implication 1</li>
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<li>Implication 2</li>
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<!-- etc. -->
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</ul>
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<h3>Recommendation</h3>
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<ul>
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<li>Recommendation 1 (include urgency level)</li>
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<li>Recommendation 2 (if any)</li>
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<!-- etc. -->
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</ul>
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<h3>Differential Considerations</h3>
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<ul>
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<li>Differential 1</li>
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<li>Differential 2</li>
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<!-- etc. -->
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</ul>
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Important formatting instructions:
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- Use HTML elements for structure (<ul>, <li>, <strong>, <h3>, etc.)
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- Do not use asterisks (**) for emphasis - use proper HTML formatting instead
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- For any urgent findings, use <span style="color:red"> to highlight them
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"""
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try:
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assessment_text = re.sub(r'\*\*([^*]+)\*\*', r'<strong>\1</strong>', assessment_text)
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# Make sure all headers are properly formatted (with complete pattern)
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assessment_text = re.sub(r'^(#+)\s+(.+)$', r'<h3>\2</h3>', assessment_text, flags=re.MULTILINE)
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# If there's no HTML formatting at all, wrap in basic structure
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if not re.search(r'<[^>]+>', assessment_text):
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sections = [
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"Summary of Findings",
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"Key Abnormalities",
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"Potential Clinical Implications",
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"Recommendation",
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"Differential Considerations"
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]
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# Split by sections and format
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formatted_html = ""
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current_section = "Summary of Findings" # Default
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content_lines = []
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lines = assessment_text.split('\n')
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for line in lines:
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# Check if this line is a section header
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is_section = False
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for section in sections:
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if section.lower() in line.lower():
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# If we have collected content for a previous section, output it
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if content_lines:
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formatted_html += f"<h3>{current_section}</h3>\n<ul>\n"
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for content_line in content_lines:
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formatted_html += f" <li>{content_line}</li>\n"
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formatted_html += "</ul>\n"
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content_lines = []
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current_section = section
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is_section = True
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break
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if not is_section and line.strip():
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content_lines.append(line.strip())
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# Don't forget the last section
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if content_lines:
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formatted_html += f"<h3>{current_section}</h3>\n<ul>\n"
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for content_line in content_lines:
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formatted_html += f" <li>{content_line}</li>\n"
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formatted_html += "</ul>\n"
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assessment_text = formatted_html if formatted_html else assessment_text
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return assessment_text
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{assessment}
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TIMESTAMP: {timestamp}
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"""
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if patient_history and patient_history.strip():
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context += f"""PATIENT HISTORY:
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{patient_history}
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"""
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# Construct full chat history for context
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with gr.Row():
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with gr.Column(scale=1):
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# Input components
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with gr.Group(): # Using Group instead of Box
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gr.Markdown("### π ECG Image")
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ecg_image = gr.Image(type="pil", label="Upload ECG Image")
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# Display fixed model info
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gr.Markdown("**Vision Model:** llama-3.2-90b-vision-preview")
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analyze_button = gr.Button("Analyze ECG Image", variant="primary")
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with gr.Group(): # Using Group instead of Box
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gr.Markdown("### π Patient Information")
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patient_history_text = gr.Textbox(
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lines=8,
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load_history_button = gr.Button("Load Patient History from File")
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with gr.Group(): # Using Group instead of Box
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gr.Markdown("### π§ Assessment Settings")
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# Display fixed model info
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gr.Markdown("**Chat Model:** llama-3.3-70b-versatile")
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with gr.Column(scale=1):
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# Output components
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with gr.Group(): # Using Group instead of Box
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gr.Markdown("### π ECG Analysis Results")
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ecg_analysis_output = gr.HTML(label="ECG Analysis", elem_id="ecg-analysis")
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with gr.Group(): # Using Group instead of Box
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gr.Markdown("### π Medical Assessment")
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assessment_output = gr.HTML(label="Assessment", elem_id="assessment-output")
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gr.Markdown("## π¨ββοΈ Doctor's Consultation")
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gr.Markdown("Ask follow-up questions about the patient's ECG results and medical condition.")
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with gr.Group(): # Using Group instead of Box
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chatbot = gr.Chatbot(label="Consultation", height=400)
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with gr.Row():
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message = gr.Textbox(
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