Update app.py

app.py

@@ -9,8 +9,19 @@ def predict(img):
     img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     prediction = str(pred)
+     # Provide explanation based on the prediction
+    if pred == "cancer_positive":
+        explanation = "The model predicts that the image shows signs of cancer."
+    elif pred == "cancer_negative":
+        explanation = "The model predicts that the image does not show signs of cancer."
+    elif pred == "implant_cancer_positive":
+        explanation = "The model predicts that the image shows signs of implant-related cancer."
+    elif pred == "implant_cancer_negative":
+        explanation = "The model predicts that the image does not show signs of implant-related cancer."
+    else:
+        explanation = "Unknown prediction."
 
-    return prediction
+    return prediction, explanation