updated the code ✅✅
Browse files- mediSync/app.py +22 -178
mediSync/app.py
CHANGED
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@@ -3,23 +3,10 @@ import os
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import sys
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import tempfile
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from pathlib import Path
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import logging
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from pathlib import Path
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import gradio as gr
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from PIL import Image
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import requests
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import tempfile
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import gradio as gr
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import matplotlib.pyplot as plt
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from PIL import Image
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import os
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import logging
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import requests
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from pathlib import Path
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from typing import Optional
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import gradio as gr
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from PIL import Image
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# Add parent directory to path
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parent_dir = os.path.dirname(os.path.abspath(__file__))
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@@ -397,59 +384,9 @@ class MediSyncApp:
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self.logger.error(f"Error converting figure to HTML: {e}")
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return "<p>Error displaying visualization.</p>"
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# import logging
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# import requests
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# from pathlib import Path
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# import os
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# import gradio as gr
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# from mediSync.app import MediSyncApp
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import os
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import logging
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from pathlib import Path
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import requests
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import gradio as gr
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from PIL import Image
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import io
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class MediSyncApp:
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"""Mock application class for demonstration purposes."""
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def enhance_image(self, image):
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"""Mock image enhancement function."""
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if image is None:
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return None
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return image
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def analyze_multimodal(self, image, text):
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"""Mock multimodal analysis function."""
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return (
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"<div style='color: green'>Multimodal analysis completed successfully.</div>",
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"<div>Visualization placeholder</div>"
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)
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def analyze_image(self, image):
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"""Mock image analysis function."""
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if image is None:
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return None, "<div style='color: red'>No image provided</div>", ""
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return (
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image,
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"<div style='color: green'>Image analysis completed successfully.</div>",
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"<div>Image visualization placeholder</div>"
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)
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def analyze_text(self, text):
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"""Mock text analysis function."""
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if not text.strip():
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return "", "<div style='color: red'>No text provided</div>", ""
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return (
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text,
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"<div style='color: green'>Text analysis completed successfully.</div>",
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"<div>Text visualization placeholder</div>"
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)
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def create_interface():
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"""Create and launch the Gradio interface
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app = MediSyncApp()
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@@ -472,53 +409,20 @@ def create_interface():
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RECOMMENDATIONS: Follow-up chest CT to further characterize the nodular opacity in the right lower lobe.
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"""
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# Get sample image path
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sample_image_path = None
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# Check for existing images first
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sample_images = list(sample_images_dir.glob("*.png")) + list(sample_images_dir.glob("*.jpg"))
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if not sample_images:
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# Download fallback sample image if none exist
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fallback_url = "https://raw.githubusercontent.com/ieee8023/covid-chestxray-dataset/master/images/1-s2.0-S0929664620300449-gr2_lrg-a.jpg"
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sample_path = sample_images_dir / "sample_xray.jpg"
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try:
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response = requests.get(fallback_url, timeout=10)
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if response.status_code == 200:
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with open(sample_path, 'wb') as f:
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f.write(response.content)
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sample_image_path = str(sample_path)
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logging.info("Successfully downloaded fallback sample image")
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else:
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logging.warning(f"Failed to download sample image. Status code: {response.status_code}")
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except Exception as download_error:
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logging.warning(f"Could not download sample image: {str(download_error)}")
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else:
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sample_image_path = str(sample_images[0])
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except Exception as e:
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logging.error(f"Error setting up sample images: {str(e)}")
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# Define interface with robust parameter handling
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with gr.Blocks(
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title="MediSync: Multi-Modal Medical Analysis System",
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theme=gr.themes.Soft()
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) as interface:
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# Get appointment ID from URL parameters using JavaScript
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appointment_id = gr.Textbox(
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visible=False,
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value="",
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_js="""
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function() {
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const params = new URLSearchParams(window.location.search);
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return params.get('appointment_id') || '';
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}
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"""
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)
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gr.Markdown("""
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# MediSync: Multi-Modal Medical Analysis System
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1. Upload a chest X-ray image
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2. Enter the corresponding medical report text
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3. Choose the analysis type: image-only, text-only, or multimodal (combined)
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4. Click "End Consultation" when finished to complete your appointment
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""")
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with gr.Tab("Multimodal Analysis"):
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label="Enter Medical Report Text",
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placeholder="Enter the radiologist's report text here...",
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lines=10,
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value=example_report if
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)
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multi_analyze_btn = gr.Button(
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multi_results = gr.HTML(label="Analysis Results")
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multi_plot = gr.HTML(label="Visualization")
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if sample_image_path:
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gr.Examples(
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examples=[[sample_image_path, example_report]],
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@@ -572,6 +476,7 @@ def create_interface():
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img_results = gr.HTML(label="Analysis Results")
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img_plot = gr.HTML(label="Visualization")
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if sample_image_path:
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gr.Examples(
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examples=[[sample_image_path]],
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@@ -595,6 +500,7 @@ def create_interface():
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text_results = gr.HTML(label="Analysis Results")
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text_plot = gr.HTML(label="Entity Visualization")
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gr.Examples(
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examples=[[example_report]],
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inputs=[text_input],
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This tool is for educational and research purposes only. It is not intended to provide medical advice or replace professional healthcare. Always consult with qualified healthcare providers for medical decisions.
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""")
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# Consultation completion section
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with gr.Row():
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with gr.Column():
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end_consultation_btn = gr.Button(
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"End Consultation",
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variant="stop",
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size="lg"
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)
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completion_status = gr.HTML()
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# Set up event handlers
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multi_img_enhance.click(
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app.enhance_image, inputs=multi_img_input, outputs=multi_img_input
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@@ -656,64 +552,12 @@ def create_interface():
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outputs=[text_output, text_results, text_plot],
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)
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if not appointment_id:
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return "<div class='alert alert-error'>No appointment ID found. Please contact support.</div>"
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try:
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# Replace with your actual Flask app URL
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flask_app_url = "http://127.0.0.1:600/complete_consultation"
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response = requests.post(
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flask_app_url,
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json={"appointment_id": appointment_id},
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timeout=10
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)
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if response.status_code == 200:
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return """
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<div class='alert alert-success'>
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Consultation completed successfully. Redirecting...
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<script>
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setTimeout(function() {
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window.location.href = "http://127.0.0.1:600/doctors";
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}, 2000);
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</script>
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</div>
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"""
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else:
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return f"""
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<div class='alert alert-error'>
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Error completing appointment (Status: {response.status_code}).
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Please contact support.
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</div>
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"""
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except Exception as e:
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return f"""
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<div class='alert alert-error'>
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Error: {str(e)}
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</div>
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"""
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end_consultation_btn.click(
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fn=complete_consultation,
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inputs=[appointment_id],
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outputs=completion_status
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)
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try:
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interface.launch()
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except Exception as e:
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logging.error(f"Failed to launch interface: {str(e)}")
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raise RuntimeError("Failed to launch MediSync interface") from e
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if __name__ == "__main__":
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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create_interface()
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import sys
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import tempfile
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from pathlib import Path
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import gradio as gr
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import matplotlib.pyplot as plt
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from PIL import Image
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# Add parent directory to path
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parent_dir = os.path.dirname(os.path.abspath(__file__))
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self.logger.error(f"Error converting figure to HTML: {e}")
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return "<p>Error displaying visualization.</p>"
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def create_interface():
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"""Create and launch the Gradio interface."""
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app = MediSyncApp()
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RECOMMENDATIONS: Follow-up chest CT to further characterize the nodular opacity in the right lower lobe.
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"""
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# Get sample image path if available
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sample_images_dir = Path(parent_dir) / "data" / "sample"
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sample_images = list(sample_images_dir.glob("*.png")) + list(
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sample_images_dir.glob("*.jpg")
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)
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sample_image_path = None
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if sample_images:
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sample_image_path = str(sample_images[0])
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# Define interface
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with gr.Blocks(
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title="MediSync: Multi-Modal Medical Analysis System", theme=gr.themes.Soft()
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) as interface:
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gr.Markdown("""
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# MediSync: Multi-Modal Medical Analysis System
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1. Upload a chest X-ray image
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2. Enter the corresponding medical report text
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3. Choose the analysis type: image-only, text-only, or multimodal (combined)
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""")
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with gr.Tab("Multimodal Analysis"):
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label="Enter Medical Report Text",
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placeholder="Enter the radiologist's report text here...",
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lines=10,
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value=example_report if sample_image_path is None else None,
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)
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multi_analyze_btn = gr.Button(
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multi_results = gr.HTML(label="Analysis Results")
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multi_plot = gr.HTML(label="Visualization")
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# Set up examples if sample image exists
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if sample_image_path:
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gr.Examples(
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examples=[[sample_image_path, example_report]],
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img_results = gr.HTML(label="Analysis Results")
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img_plot = gr.HTML(label="Visualization")
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# Set up example if sample image exists
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if sample_image_path:
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gr.Examples(
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examples=[[sample_image_path]],
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text_results = gr.HTML(label="Analysis Results")
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text_plot = gr.HTML(label="Entity Visualization")
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# Set up example
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gr.Examples(
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examples=[[example_report]],
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inputs=[text_input],
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This tool is for educational and research purposes only. It is not intended to provide medical advice or replace professional healthcare. Always consult with qualified healthcare providers for medical decisions.
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""")
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# Set up event handlers
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multi_img_enhance.click(
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app.enhance_image, inputs=multi_img_input, outputs=multi_img_input
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outputs=[text_output, text_results, text_plot],
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)
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# Run the interface
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interface.launch()
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if __name__ == "__main__":
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create_interface()
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# Example Script
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