Update app.py

app.py

@@ -7,7 +7,7 @@ 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")
+    inputs = image_processor(img, return_tensors="pt")
     with torch.no_grad():
         outputs = model(**inputs)
     return outputs
@@ -16,8 +16,8 @@ iface = gradio.Interface(
   fn=inference,
   inputs='image',
   outputs='image',
-  title='Hello World', 
-  description='The simplest interface!',
-  examples=[])  
+  title='Your Attractivness', 
+  description='Check your attractivness',
+  examples=["face_01.jpg", "face_02.jpg"])  
 
 iface.launch()