Update app.py

app.py

@@ -4,8 +4,8 @@ from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
 import time
 
-processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
-model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
+processor = BlipProcessor.from_pretrained("prithivMLmods/Beetz-Image-Captioning")
+model = BlipForConditionalGeneration.from_pretrained("prithivMLmods/Beetz-Image-Captioning")
 
 def caption(img, min_len, max_len):
     raw_image = Image.open(img).convert('RGB')
@@ -24,7 +24,7 @@ def greet(img, min_len, max_len):
     return result
 
 iface = gr.Interface(fn=greet, 
-                     title='Blip Image Captioning Large', 
+                     title='Beetz-Image-Captioning-Blip', 
                      description="[Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large)",
                      inputs=[gr.Image(type='filepath', label='Image'), gr.Slider(label='Minimum Length', minimum=1, maximum=1000, value=30), gr.Slider(label='Maximum Length', minimum=1, maximum=1000, value=100)], 
                      outputs=gr.Textbox(label='Caption'),