Spaces:
Sleeping
Sleeping
File size: 658 Bytes
f88fbd6 2c7681b bf0ec85 ec12d72 3adf53a ec12d72 3adf53a bf0ec85 87170cd a2fef77 bf0ec85 f90f3a6 74daf61 bf0ec85 87170cd e908b21 3adf53a e908b21 f88fbd6 3adf53a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
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) |