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| import requests | |
| import gradio as gr | |
| import os | |
| HF_TOKEN = os.environ.get("HF_TOKEN") | |
| API_URL = "https://api-inference.huggingface.co/models/allenai/bidaf-elmo" | |
| headers = {"Authorization": HF_TOKEN} | |
| def query(question, context): | |
| data = { | |
| "inputs": { | |
| "question": question, | |
| "context": context | |
| }, | |
| } | |
| response = requests.post(API_URL, headers=headers, json=data) | |
| return response.json() | |
| # Example question and context | |
| passage = "The quick brown fox jumped over the lazy dog." | |
| question = "Who jumps over the lazy dog?" | |
| iface = gr.Interface(query, | |
| title="Allen NLP Question Answering", | |
| inputs=["text", gr.inputs.Textbox(lines=15)], | |
| outputs=["text"], | |
| examples=[["{}".format(passage), "{}".format(question)]]) | |
| iface.launch() |