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import streamlit as st | |
import os | |
x = st.slider('Select a value') | |
import requests | |
# Replace with your actual API token | |
api_token = os.getenv('huggingface') | |
headers = {"Authorization": f"Bearer {api_token}"} | |
# Replace 'gpt-3' with the model you want to use | |
api_url = "https://api-inference.huggingface.co/models/prometheus-eval/prometheus-7b-v2.0" | |
def query(payload): | |
response = requests.post(api_url, headers=headers, json=payload) | |
return response.json() | |
# Example usage | |
data = query({"inputs": "Once upon a time"}) | |
st.write(data) | |