import gradio as gr
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model = AutoModelForSeq2SeqLM.from_pretrained("Mbilal755/Radiology_Bart") 
tokenizer = AutoTokenizer.from_pretrained("Mbilal755/Radiology_Bart")

def summarize(input):
    inputs = tokenizer(input, return_tensors="pt")
    output = model.generate(inputs["input_ids"]) 
    summary = tokenizer.decode(output[0], skip_special_tokens=True)
    return summary

iface = gr.Interface(fn=summarize, inputs="text", outputs="text")

if __name__ == "__main__":
    iface.launch(share=True)