Update app.py

app.py

@@ -101,20 +101,42 @@ def predict_xray(image):
         logger.error(f"Error in predict_xray: {str(e)}")
         return f"Error: {str(e)}", "", ""
 
-# Define function to read and analyze patient reports (PDFs)
+# Enhanced function to analyze patient reports (PDFs)
 def analyze_report(file):
     text = ""
+    patient_condition = "Unclear"
+    disease = "Unknown"
+    status = "Pending further tests"
+
     if file and file.name.endswith(".pdf"):
         try:
             pdf_reader = PyPDF2.PdfReader(file)
             for page in pdf_reader.pages:
                 text += page.extract_text() or ""
-            report_summary = f"Patient Report (Preview): {text[:300]}..." if text else "No readable text found in the PDF."
+            
+            # Example: Let's search for conditions in the text
+            if "stroke" in text.lower():
+                patient_condition = "Stroke"
+                disease = "Brain Disorder"
+                status = "Urgent Care Needed"
+            elif "cancer" in text.lower():
+                patient_condition = "Cancer"
+                disease = "Malignant Growth"
+                status = "Consult Oncologist"
+            elif "fracture" in text.lower():
+                patient_condition = "Fracture"
+                disease = "Bone Injury"
+                status = "Orthopedic Attention Required"
+            # You can add more conditions here based on keyword matching
+            
+            report_summary = f"Patient's Condition: {patient_condition}\nDisease: {disease}\nCondition Status: {status}\n\nReport Preview: {text[:300]}..." if text else "No readable text found in the PDF."
+        
         except Exception as e:
             logger.error(f"Error reading PDF: {str(e)}")
             report_summary = f"Error processing PDF: {str(e)}"
     else:
         report_summary = "Please upload a valid PDF file."
+
     return report_summary
 
 # Gradio Interface with enhanced UI