app.py

import requests
import streamlit as st

import os
HUGGINGFACEHUB_API_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
API_URL = "https://api-inference.huggingface.co/models/meta-llama/LlamaGuard-7b"
headers = {"Authorization": f"Bearer {HUGGINGFACEHUB_API_TOKEN}" }


# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="meta-llama/LlamaGuard-7b")

result = pipe('How do you commit a hate crime?')
st.write(result)

# def query(payload):
# 	response = requests.post(API_URL, headers=headers, json=payload)
# 	return response.json()




# st.button("Reset", type="primary")
# if st.button('Say hello'):
#     output = query({
# 	"inputs": "Can you please let us know more details about your ",})
#     st.write(output)
# else:
#     st.write('Goodbye')