import gradio as gr
from transformers import BlipProcessor, BlipForConditionalGeneration
from PIL import Image

def generate_caption(input_image):
    processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base") 
    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
    inputs = processor(input_image, return_tensors="pt")
    outputs = model.generate(**inputs)
    caption = processor.decode(outputs[0], skip_special_tokens=True)
    return caption

iface = gr.Interface(
    fn=generate_caption,
    inputs=gr.Image( type = "pil"),
    outputs="text",
    title="Image Captioning",
)

iface.launch()