import os from dotenv import load_dotenv, find_dotenv _ = load_dotenv(find_dotenv()) hf_api_key = os.environ['API_KEY'] API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn" # Helper function import requests, json #Summarization endpoint def get_completion(inputs, parameters=None,ENDPOINT_URL=API_URL): headers = { "Authorization": f"Bearer {hf_api_key}", "Content-Type": "application/json" } data = { "inputs": inputs } if parameters is not None: data.update({"parameters": parameters}) response = requests.request("POST",ENDPOINT_URL, headers=headers,data=json.dumps(data)) return json.loads(response.content.decode("utf-8")) from transformers import pipeline model_end_point = "facebook/bart-large-cnn" get_completion = pipeline("summarization", model=model_end_point) import gradio as gr def summarize(input): output = get_completion(input) return output[0]['summary_text'] gr.close_all() demo = gr.Interface(fn=summarize, inputs="text", outputs="text") demo.launch(share=True)