Update app.py

app.py

@@ -1,18 +1,28 @@
 import gradio as gr
 from transformers import BlipProcessor, BlipForConditionalGeneration
 from PIL import Image
+
+# Load processor and model
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+# Captioning function
 def caption_image(image):
     inputs = processor(images=image, return_tensors="pt")
     out = model.generate(**inputs)
     caption = processor.decode(out[0], skip_special_tokens=True)
     return caption
+
+# Interface
 iface = gr.Interface(
     fn=caption_image,
     inputs=gr.Image(type="pil"),
     outputs="text",
     title="Image Caption Generator",
-    flagging_mode="never"
+    flagging_mode="never",
+    # 👇 api_name define karna zaroori hai
+    examples=None
 )
-iface.queue(api_open=True).launch(share=False)
+
+# Queue for API & launch
+iface.queue(api_open=True).launch(share=True)