Update app.py

app.py

@@ -1,18 +1,19 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(task="image-classification", model="models/aioxlabs/dvoice-darija")
+image_classifier = pipeline(task="image-classification", model="models/aioxlabs/dvoice-darija")
 
 def predict(input_img):
-    predictions = pipeline(input_img)
-    return input_img, {p["label"]: p["score"] for p in predictions} 
+    predictions = image_classifier(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions}
 
-gradio_app = gr.Interface(
+gr_interface = gr.Interface(
     predict,
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    inputs=gr.inputs.Image(label="Select hot dog candidate", source=['upload', 'webcam'], type="pil"),
+    outputs=[gr.outputs.Image(label="Processed Image"), gr.outputs.Label(label="Result", num_top_classes=2)],
     title="Hot Dog? Or Not?",
 )
 
 if __name__ == "__main__":
-    gradio_app.launch()
+    gr_interface.launch()
+