Update app.py

app.py

@@ -362,15 +362,15 @@ def classify(platform, UserInput, Images, Textbox2, Textbox3):
                     # imageData = cv.imdecode(np.asarray(bytearray(get_image.content), dtype="uint8"), cv.IMREAD_COLOR)
                     image_bytes = get_image.content
                     image = Image.open(io.BytesIO(image_bytes))
-                    image_data = cv.cvtColor(np.array(image), cv.COLOR_RGB2BGR)
+                    imageData = cv.cvtColor(np.array(image), cv.COLOR_RGB2BGR)
             elif platform == "web":
                 print("WEB")
                 # Handle web case if needed
             else:
                 pass
 
-            image_data = cv.resize(image_data, (224, 224))
-            normalized_image_array = (image_data.astype(np.float32) / 127.0) - 1
+            image_data = cv.resize(imageData, (224, 224))
+            normalized_image_array = (imageData.astype(np.float32) / 127.0) - 1
             data = np.zeros((1, 224, 224, 3))
             data[0] = normalized_image_array
             prediction = model.predict(data)