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import requests | |
import gradio as gr | |
# The model endpoint on Hugging Face | |
API_URL = "https://api-inference.huggingface.co/models/neovalle/H4rmoniousBreeze" | |
def query_model(prompt): | |
# If your model is public, you may not need an API token. | |
# If it’s private, you'll need: | |
# headers = {"Authorization": "Bearer hf_..."} | |
# and pass them in your requests.post(...) call. | |
payload = {"inputs": prompt} | |
response = requests.post(API_URL, json=payload) | |
return response.json() | |
demo = gr.Interface( | |
fn=query_model, | |
inputs="text", | |
outputs="text", | |
title="H4rmoniousBreeze", | |
description="Score narratives" | |
) | |
if __name__ == "__main__": | |
demo.launch() |