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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) |