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

from huggingface_hub import login

hf_token = os.getenv("token")

if hf_token is None:
    raise ValueError("HF_TOKEN environment variable not set.")
login(token=hf_token)

# Load from your Hugging Face model repo
processor = BlipProcessor.from_pretrained("ragunath-ravi/blip-histopathology-finetuned")
model = BlipForConditionalGeneration.from_pretrained("ragunath-ravi/blip-histopathology-finetuned")

def generate_caption(image):
    inputs = processor(images=image, return_tensors="pt")
    out = model.generate(**inputs)
    caption = processor.decode(out[0], skip_special_tokens=True)
    return caption

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