Update app.py

app.py

@@ -15,6 +15,7 @@ def predict_jellyfish_type(uploaded_file):
     with Image.open(uploaded_file) as img:
         img = img.resize((150, 150)).convert('RGB')  # Convert image to RGB
         img_array = np.array(img)
+        print(image.shape)
  
         prediction = model.predict(np.expand_dims(img_array, axis=0))
         confidences = {labels[i]: np.round(float(prediction[0][i]), 2) for i in range(len(labels))}
@@ -25,8 +26,8 @@ def predict_jellyfish_type(uploaded_file):
 # Define the Gradio interface
 iface = gr.Interface(
     fn=predict_jellyfish_type,  # Function to process the input
-    inputs=gr.File(label="Upload File"),  # File upload widget
-    outputs="text",  # Output type
+    inputs=input_image, #inputs=gr.File(label="Upload File"),  # File upload widget
+    outputs=gr.Label(), #outputs="text",  # Output type
     title="Jellyfish Classifier",  # Title of the interface
     examples=["images/barrel_jellyfish.jpeg", "images/blue_jellyfish.jpeg", "images/compass_jellyfish.jpeg", "images/lions_mane_jellyfish.jpeg", "images/mauve_stinger_jellyfish.jpeg", "images/Moon_jellyfish.jpeg"],   
     description="Upload a picture of a Jellyfish (barrel Gefährlichkeit: Niedrig, blue Gefährlichkeit: Moderat, compass Gefährlichkeit: Moderat, lions mane Gefährlichkeit: Hoch, mauve stinger Gefährlichkeit: Moderat bis Hoch, Moon Gefährlichkeit: Niedrig) "  # Description of the interface