Update app.py

app.py

@@ -1,24 +1,13 @@
 import gradio as gr
-import requests
-from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
 
-
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
 
 def execute(image): 
-    inputs = processor(image, return_tensors="pt")
-    out = model.generate(**inputs)
-    output = processor.decode(out[0], skip_special_tokens=True)
+    model_inputs = processor(image, return_tensors="pt")
+    output = processor.decode(model.generate(**model_inputs)[0], skip_special_tokens=True)
     return output
     
-iface = gr.Interface(
-    execute,
-    inputs=[
-        "image",
-    ], 
-    outputs="textbox"
-)
-
+iface = gr.Interface(fn=execute, inputs="image", outputs="textbox")
 iface.launch()