Create app.py

app.py

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+import gradio
+from transformers import AutoImageProcessor, MobileNetV2Model
+import torch
+from datasets import load_dataset
+
+image_processor = AutoImageProcessor.from_pretrained("Aruno/gemini-beauty")
+model = MobileNetV2Model.from_pretrained("Aruno/gemini-beauty")
+
+def inference(img):
+    inputs = image_processor(image, return_tensors="pt")
+    with torch.no_grad():
+        outputs = model(**inputs)
+    return outputs
+
+iface = gradio.Interface(
+  fn=inference,
+  inputs='image',
+  outputs='image',
+  title='Hello World', 
+  description='The simplest interface!',
+  examples=[])  
+
+iface.launch()