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| import gradio as gr | |
| from openai import OpenAI | |
| client = OpenAI( | |
| base_url="http://soggy-sage-goat-8000.1.cricket.hyperbolic.xyz:30000/v1/", | |
| api_key="hyperbolic" | |
| ) | |
| def predict(message, history): | |
| history.append({"role": "user", "content": message}) | |
| stream = client.chat.completions.create(messages=history, model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", stream=True) | |
| chunks = [] | |
| for chunk in stream: | |
| chunks.append(chunk.choices[0].delta.content or "") | |
| yield "".join(chunks) | |
| demo = gr.ChatInterface(predict, type="messages") | |
| demo.launch() | |