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import gradio as gr | |
import requests | |
def query(data): | |
headers = { | |
"Content-Type": "application/json", | |
"Authorization": "Bearer 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" | |
} | |
response = requests.post( | |
"https://api-inference.huggingface.co/models/h2oai/h2ogpt-gm-oasst1-en-1024-12b", | |
headers=headers, | |
json={"inputs": data} | |
) | |
result = response.json() | |
return result.get("generated_text", "No response") | |
iface = gr.Interface( | |
fn=query, | |
inputs=gr.inputs.Textbox(label="Input"), | |
outputs=gr.outputs.Textbox(label="Output"), | |
layout="vertical", | |
title="Hugging Face Chatbot", | |
description="Enter a message to chat with the model.", | |
) | |
iface.launch(share=True, server_port=8888) |