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import streamlit as st | |
# x = st.slider('Select a value') | |
# st.write(x, 'squared is', x * x) | |
from datasets import load_dataset | |
dataset = load_dataset("soulhq-ai/insuranceQA-v2") | |
import requests | |
import os | |
API_KEY = os.environ.get("API_KEY") | |
API_URL = "https://api-inference.huggingface.co/models/google-bert/bert-large-uncased-whole-word-masking-finetuned-squad" | |
headers = {"Authorization": "Bearer " + API_KEY} | |
def query(payload): | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.json() | |
output = query({ | |
"inputs": { | |
"question": "What is my name?", | |
"context": dataset | |
} | |
}) | |
st.write(output.answer) |