Update src/streamlit_app.py

src/streamlit_app.py

@@ -527,43 +527,37 @@ Provide a detailed, caring response that helps the patient understand their heal
             return {'success': False, 'error': f"Consultation error: {str(e)}"}
     
     def analyze_medical_report(self, image: Image.Image) -> Dict:
-        """Analyze medical reports using OCR + Gemini"""
+        """Analyze medical reports using Gemini Vision (no OCR needed)"""
         if not self.gemini_model:
             return {'success': False, 'error': "Report analysis unavailable"}
         
         try:
-            # OCR extraction
-            text = pytesseract.image_to_string(image)
-            if not text.strip():
-                return {'success': False, 'error': "No text found in image"}
+            prompt = f"""You are a medical AI analyzing a healthcare report image for Indian patients.
+    
+    ANALYSIS INSTRUCTIONS:
+    1. Identify the type of medical report from the image
+    2. Extract and read all visible text, numbers, and values
+    3. Highlight values outside normal ranges for Indian population
+    4. Explain abnormal findings in simple terms with analogies
+    5. Provide lifestyle recommendations for concerning values
+    6. Use markdown formatting for clear structure
+    7. Always end with medical disclaimer
+    
+    Provide a comprehensive, patient-friendly analysis of this medical report image."""
             
-            prompt = f"""You are a medical AI analyzing a healthcare report for Indian patients.
-
-EXTRACTED REPORT TEXT:
-{text}
-
-ANALYSIS INSTRUCTIONS:
-1. Identify the type of medical report
-2. Highlight values outside normal ranges
-3. Explain abnormal findings in simple terms with analogies
-4. Provide lifestyle recommendations for concerning values
-5. Use markdown formatting for clear structure
-6. Always end with medical disclaimer
-
-Provide a comprehensive, patient-friendly analysis."""
-            
-            response = self.gemini_model.generate_content(prompt)
+            # Use Gemini Vision to analyze image directly
+            response = self.gemini_model.generate_content([prompt, image])
             
             return {
                 'success': True,
                 'analysis': response.text,
-                'extracted_text': text[:500] + "..." if len(text) > 500 else text,
+                'extracted_text': "Analysis performed using AI vision - no text extraction needed",
                 'timestamp': datetime.datetime.now().isoformat()
             }
             
         except Exception as e:
             return {'success': False, 'error': f"Analysis error: {str(e)}"}
-    
+
     def analyze_diabetic_retinopathy(self, image: Image.Image) -> Dict:
         """Diabetic retinopathy screening using custom model + Gemini explanation"""
         if not self.dr_model_loaded: