Update app.py

app.py

@@ -1,16 +1,4 @@
 from transformers import AutoFeatureExtractor, AutoModelForImageClassification
 import gradio
 
-extractor = AutoFeatureExtractor.from_pretrained("vincentclaes/mit-indoor-scenes")
-model = AutoModelForImageClassification.from_pretrained("vincentclaes/mit-indoor-scenes")
-
-def classify(image):
-  inputs = extractor(images=image, return_tensors='pt')
-  outputs = model(**inputs)
-  return {labels[i]: float(outputs[i] for i in range(67))}
-
-gradio.Interface(fn=classify,
-                 inputs=gradio.inputs.Image(shape=(224,224), image_mode='RGB', source='upload', tool='editor', type='pil', label=None, optional=False),
-                 outputs='text',
-                 #outputs=gradio.outputs.Label(num_top_classes=5),
-                 allow_flagging='never').launch(inbrowser=True)
+gradio.Interface.load(name='huggingface/vincentclaes/mit-indoor-scenes').launch()