Update app.py

app.py

@@ -6,19 +6,20 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
 
-img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg' 
-raw_image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')
-
 def caption(img):
     raw_image = Image.open(img).convert('RGB')
   
     inputs = processor(raw_image, return_tensors="pt")
     
-    out = model.generate(**inputs, min_length=30, max_length=1000)
+    out = model.generate(**inputs, min_length=40, max_length=200)
     return processor.decode(out[0], skip_special_tokens=True)
 
 def greet(img):
     return caption(img)
 
-iface = gr.Interface(fn=greet, inputs=gr.Image(type='filepath'), outputs="text")
+iface = gr.Interface(fn=greet, 
+                     title='Blip Image Captioning Large', 
+                     inputs=gr.Image(type='filepath'), 
+                     outputs="text",
+                     theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"),)
 iface.launch()