Update app.py

app.py

@@ -6,6 +6,9 @@ from sklearn.linear_model import LinearRegression
 import random
 import base64
 import joblib
+import pdfkit
+from io import BytesIO
+import json
 
 # Initialize the face mesh model
 mp_face_mesh = mp.solutions.face_mesh
@@ -114,88 +117,15 @@ def build_table(title, rows):
     return html
 
 
-# Build health card layout
-def build_health_card(profile_image, test_results, summary, patient_name="", patient_age="", patient_gender="", patient_id=""):
-    from datetime import datetime
-    current_date = datetime.now().strftime("%B %d, %Y")
-    
-    html = f"""
-    <div id="health-card" style="font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; max-width: 700px; margin: 20px auto; border-radius: 16px; background: linear-gradient(135deg, #e3f2fd 0%, #f3e5f5 100%); border: 2px solid #ddd; box-shadow: 0 8px 32px rgba(0, 0, 0, 0.15); padding: 30px; color: #1a1a1a;">
-        
-        <div style="background-color: rgba(255, 255, 255, 0.9); border-radius: 12px; padding: 20px; margin-bottom: 25px; border: 1px solid #e0e0e0;">
-            <div style="display: flex; align-items: center; margin-bottom: 15px;">
-                <div style="background: linear-gradient(135deg, #64b5f6, #42a5f5); padding: 8px 16px; border-radius: 8px; margin-right: 20px;">
-                    <h3 style="margin: 0; font-size: 16px; color: white; font-weight: 600;">HEALTH CARD</h3>
-                </div>
-                <div style="margin-left: auto; text-align: right; color: #666; font-size: 12px;">
-                    <div>Report Date: {current_date}</div>
-                    {f'<div>Patient ID: {patient_id}</div>' if patient_id else ''}
-                </div>
-            </div>
-            <div style="display: flex; align-items: center;">
-                <img src="data:image/png;base64,{profile_image}" alt="Profile" style="width: 90px; height: 90px; border-radius: 50%; margin-right: 20px; border: 3px solid #fff; box-shadow: 0 4px 12px rgba(0,0,0,0.1);">
-                <div>
-                    <h2 style="margin: 0; font-size: 28px; color: #2c3e50; font-weight: 700;">{patient_name if patient_name else "Lab Test Results"}</h2>
-                    <p style="margin: 4px 0 0 0; color: #666; font-size: 14px;">{f"Age: {patient_age} | Gender: {patient_gender}" if patient_age and patient_gender else "AI-Generated Health Analysis"}</p>
-                    <p style="margin: 4px 0 0 0; color: #888; font-size: 12px;">Face-Based Health Analysis Report</p>
-                </div>
-            </div>
-        </div>
-
-        <div style="background-color: rgba(255, 255, 255, 0.95); border-radius: 12px; padding: 25px; margin-bottom: 25px; border: 1px solid #e0e0e0;">
-            {test_results['Hematology']}
-            {test_results['Iron Panel']}
-            {test_results['Liver & Kidney']}
-            {test_results['Electrolytes']}
-            {test_results['Vitals']}
-        </div>
-
-        <div style="background-color: rgba(255, 255, 255, 0.95); padding: 20px; border-radius: 12px; border: 1px solid #e0e0e0; margin-bottom: 25px;">
-            <h4 style="margin: 0 0 15px 0; color: #2c3e50; font-size: 18px; font-weight: 600;">📝 Summary & Recommendations</h4>
-            <div style="color: #444; line-height: 1.6;">
-                {summary}
-            </div>
-        </div>
-
-        <div style="display: flex; gap: 15px; justify-content: center; flex-wrap: wrap;">
-            <button onclick="window.print()" style="padding: 12px 24px; background: linear-gradient(135deg, #4caf50, #45a049); color: white; border: none; border-radius: 8px; cursor: pointer; font-weight: 600; font-size: 14px; box-shadow: 0 4px 12px rgba(76, 175, 80, 0.3); transition: all 0.3s;">
-                📥 Download Report
-            </button>
-            <button style="padding: 12px 24px; background: linear-gradient(135deg, #2196f3, #1976d2); color: white; border: none; border-radius: 8px; cursor: pointer; font-weight: 600; font-size: 14px; box-shadow: 0 4px 12px rgba(33, 150, 243, 0.3);">
-                📞 Find Labs Near Me
-            </button>
-        </div>
-    </div>
-    
-    <style>
-    @media print {{
-        body * {{
-            visibility: hidden;
-        }}
-        #health-card, #health-card * {{
-            visibility: visible;
-        }}
-        #health-card {{
-            position: absolute;
-            left: 0;
-            top: 0;
-            width: 100% !important;
-            max-width: none !important;
-            margin: 0 !important;
-            box-shadow: none !important;
-            border: none !important;
-        }}
-        button {{
-            display: none !important;
-        }}
-    }}
-    </style>
-    """
-    return html
-
+# Generate PDF from HTML content
+def generate_pdf(html_content):
+    pdf = pdfkit.from_string(html_content, False)
+    return BytesIO(pdf)
 
-# Initialize global variable for patient details
-current_patient_details = {'name': '', 'age': '', 'gender': '', 'id': ''}
+# Find labs using geolocation (for example purposes, replace with actual logic)
+def find_labs_nearby(location):
+    # This can use the location to query a database of nearby labs
+    return f"Nearby labs for your location {location}: Lab A, Lab B, Lab C."
 
 # Modified analyze_face function
 def analyze_face(input_data):
@@ -298,7 +228,10 @@ def analyze_face(input_data):
         current_patient_details['gender'],
         current_patient_details['id']
     )
-    return health_card_html, frame_rgb
+
+    # Generate PDF from the HTML content
+    pdf_file = generate_pdf(health_card_html)
+    return health_card_html, pdf_file
 
 
 # Modified route_inputs function
@@ -317,8 +250,9 @@ def route_inputs(mode, image, video, patient_name, patient_age, patient_gender,
         'id': patient_id
     }
     
-    health_card_html, frame_rgb = analyze_face(image if mode == "Image" else video)
-    return health_card_html, frame_rgb
+    health_card_html, pdf_file = analyze_face(image if mode == "Image" else video)
+    
+    return health_card_html, pdf_file
 
 
 # Create Gradio interface
@@ -343,7 +277,9 @@ with gr.Blocks() as demo:
         with gr.Column():
             result_html = gr.HTML(label="🧪 Health Report Table")
             result_image = gr.Image(label="📷 Key Frame Snapshot")
-
+            download_btn = gr.Button("📥 Download PDF")
+            download_btn.click(fn=lambda pdf_file: pdf_file, inputs=[result_html], outputs=[download_btn])
+            
     submit_btn.click(fn=route_inputs,
                      inputs=[mode_selector, image_input, video_input, patient_name, patient_age, patient_gender, patient_id],
                      outputs=[result_html, result_image])