Update app.py

app.py

@@ -7,13 +7,13 @@ def predict(input_img):
     predictions = pipeline(input_img ,  threshold=0.5, #optional parameter defaults to 0
                   return_scores = False #optional parameter defaults to False
                           )
-    return input_img, {p["label"]: p["score"] for p in predictions} 
+    return predictions
 
 gradio_app = 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)],
-    title="Hot Dog? Or Not?",
+    inputs=gr.Image(label="add your image here", sources=['upload', 'webcam'], type="pil"),
+    outputs=gr.Text(),
+    title="Image Annotator",
 )
 
 if __name__ == "__main__":