Update app.py

app.py

@@ -10,14 +10,14 @@ model, vis_processors, _ = load_model_and_preprocess(name="blip_caption", model_
 
 # Define the input and output functions for Gradio
 def generate_caption(image_file):
-        image = cv2.imread(image_file)
+        
 
         # Preprocess the image using the Blip-Caption model's visual processors
-        image = vis_processors["eval"](raw_image).unsqueeze(0)
+        image = vis_processors["eval"](image).unsqueeze(0)
 
         # Generate captions using the Blip-Caption model
         captions = model.generate({"image": image}, use_nucleus_sampling=True, num_captions=5)
-        return captions[0]
+        return captions
 
 # Set up the Gradio interface
 #inputs = gr.inputs.Image(type="pil",label="Image")