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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
# copied from https://www.gradio.app/guides/creating-a-chatbot-fast#a-streaming-example-using-openai
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import os
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from openai import OpenAI
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import gradio as gr
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CHAT_COMPLETION_ENDPOINT = os.getenv(
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"CHAT_COMPLETION_ENDPOINT", "https://api.openai.com/v1"
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)
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client = OpenAI(api_key="--", base_url=CHAT_COMPLETION_ENDPOINT)
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def predict(message, history):
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history_openai_format = []
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for human, assistant in history:
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history_openai_format.append({"role": "user", "content": human})
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history_openai_format.append({"role": "assistant", "content": assistant})
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history_openai_format.append({"role": "user", "content": message})
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response = client.chat.completions.create(
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model="arch",
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messages=history_openai_format,
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temperature=1.0,
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stream=True,
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)
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partial_message = ""
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for chunk in response:
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if chunk.choices[0].delta.content is not None:
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partial_message = partial_message + chunk.choices[0].delta.content
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yield partial_message
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gr.ChatInterface(predict).launch(server_name="0.0.0.0", server_port=8080)
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