Update app.py

app.py

@@ -36,10 +36,9 @@ from huggingface_hub import from_pretrained_keras
 
 # Cell 1: Image Classification Model
 model1 = from_pretrained_keras("rocioadlc/EfficientNetV2L")
-image_pipeline = pipeline(task="image-classification", model=model1)
 
 def predict_image(input_img):
-    predictions = image_pipeline(input_img)
+    predictions = model1.predict(input_img)
     return input_img, {p["label"]: p["score"] for p in predictions} 
 
 image_gradio_app = gr.Interface(