Update app.py

app.py

@@ -4,29 +4,43 @@ from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
 import time
 
+Image.MAX_IMAGE_PIXELS = None  # disable pillow’s size limit
+
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
 
-def caption(img, min_len, max_len):
+def caption(img, min_new, max_new):
     raw_image = Image.open(img).convert('RGB')
-  
+    raw_image.thumbnail((1024, 1024))
     inputs = processor(raw_image, return_tensors="pt")
-    
-    out = model.generate(**inputs, min_length=min_len, max_length=max_len)
+    out = model.generate(
+        **inputs,
+        min_new_tokens=min_new,
+        max_new_tokens=max_new
+    )
     return processor.decode(out[0], skip_special_tokens=True)
 
-def greet(img, min_len, max_len):
+def greet(img, min_new, max_new):
+    if img is None:
+        return "❌ Please upload an image."
     start = time.time()
-    result = caption(img, min_len, max_len)
-    end = time.time()
-    total_time = str(end - start)
-    result = result + '\n' + total_time + ' seconds'
-    return result
+    try:
+        result = caption(img, min_new, max_new)
+    except Exception as e:
+        return f"⚠️ Error: {e}"
+    elapsed = time.time() - start
+    return f"{result}\n⏱ Took {elapsed:.2f} seconds"
 
-iface = gr.Interface(fn=greet, 
-                     title='Blip Image Captioning Large', 
-                     description="[Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) Runs on CPU",
-                     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'),
-                     theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"),)
-iface.launch()
+iface = gr.Interface(
+    fn=greet,
+    title='BLIP Image Captioning (large)',
+    description="Uses Salesforce/blip-image-captioning-large on CPU.",
+    inputs=[
+        gr.Image(type='filepath', label='Image'),
+        gr.Slider(label='Min New Tokens', minimum=1, maximum=50, value=5),
+        gr.Slider(label='Max New Tokens', minimum=1, maximum=100, value=20),
+    ],
+    outputs=gr.Textbox(label='Caption'),
+    theme=gr.themes.Base(primary_hue="teal", secondary_hue="teal", neutral_hue="slate"),
+)
+iface.launch()