Update

backend/app.py

@@ -488,12 +488,27 @@ async def predict(model_name: str = Form(...), file: UploadFile = File(...)):
         # Generate a brief AI interpretation using the Mistral client (if available)
         ai_interp = generate_mwt_summary(predicted_label, confidences, avg_confidence)
 
+        # Save the input image to outputs/images so reports can embed it when no
+        # annotated image is produced by the model (MWT is a classifier only).
+        try:
+            os.makedirs(IMAGES_DIR, exist_ok=True)
+            input_filename = f"input_{uuid.uuid4().hex[:8]}.jpg"
+            input_path = os.path.join(IMAGES_DIR, input_filename)
+            # 'contents' was read earlier from the uploaded file
+            with open(input_path, 'wb') as out_f:
+                out_f.write(contents)
+            input_image_url = f"/outputs/images/{input_filename}"
+        except Exception as e:
+            print(f"⚠️ Failed to save input image for MWT report embedding: {e}")
+            input_image_url = ""
+
         return {
             "model_used": "MWT Classifier",
             "prediction": predicted_label,
             "confidence": confidences,
             "summary": {
                 "ai_interpretation": ai_interp,
+                "annotated_image_url": input_image_url,
             },
         }