updated app with my model

app.py

@@ -7,9 +7,12 @@ processor = BlipProcessor.from_pretrained("zeddotes/blip-computer-thoughts")
 model = BlipForConditionalGeneration.from_pretrained("zeddotes/blip-computer-thoughts")
 
 def caption_image(image):
+    # image is a PIL Image from Gradio
+    # Convert to model inputs
     inputs = processor(images=image, return_tensors="pt")
     with torch.no_grad():
-        generated_ids = model.generate(**inputs)
+        # Generate text from the model
+        generated_ids = model.generate(**inputs, max_length=50)
     caption = processor.decode(generated_ids[0], skip_special_tokens=True)
     return caption
 
@@ -17,8 +20,8 @@ demo = gr.Interface(
     fn=caption_image,
     inputs=gr.Image(type="pil"),
     outputs="text",
-    title="My Fine-Tuned Model"
+    title="My Fine-Tuned BLIP Model"
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()