from PIL import Image
import requests
import gradio as gr

gr.load("models/Salesforce/blip-image-captioning-large").launch()
from transformers import BlipProcessor, BlipForConditionalGeneration

model_id = Salesforceblip-image-captioning-large
model = BlipForConditionalGeneration.from_pretrained(model_id)
processor = BlipProcessor.from_pretrained(model_id)

def launch(input):
    image = Image.open(requests.get(input, stream=True).raw).convert('RGB')
    inputs = processor(image, return_tensors=pt)
    out = model.generate(inputs)
    return processor.decode(out[0], skip_special_tokens=True)

iface = gr.Interface(launch, inputs=text, outputs=text)
iface.launch()