app.py

import gradio as gr
from transformers import AutoModel
from PIL import Image
import torch
import os
from huggingface_hub import login

# Load the model
model = AutoModel.from_pretrained("jcsagar/CXR-LLAVA-v2", trust_remote_code=True)
model = model.to("cuda")

# Define the function to generate the report
def generate_report(image):
    image = Image.open(image).convert("RGB")
    response = model.write_radiologic_report(image)
    return response

# Create the Gradio interface
interface = gr.Interface(
    fn=generate_report,
    inputs=gr.Image(type="filepath", label="Upload Image"),
    outputs=gr.Textbox(label="Report"),
    title="CXR Report Creator",
    description="Upload an image to use with the CXR-LLAVA-v2 model."
)

# Launch the interface with API enabled
interface.launch()