app.py

import gradio as gr
from openai import OpenAI


def respond(
    message,
    history: list[dict[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
    openai_api_key,
):
    """
    Chat with OpenAI GPT-3.5-turbo-instruct, streaming word by word.
    """
    if not openai_api_key:
        yield "⚠️ Please provide a valid OpenAI API key."
        return

    client = OpenAI(api_key=openai_api_key)

    messages = [{"role": "system", "content": system_message}]
    messages.extend(history)
    messages.append({"role": "user", "content": message})

    response = ""
    stream = client.completions.create(
        model="gpt-3.5-turbo-instruct",
        prompt="\n".join([f"{m['role']}: {m['content']}" for m in messages]),
        max_tokens=max_tokens,
        temperature=temperature,
        top_p=top_p,
        stream=True,
    )

    for event in stream:
        if hasattr(event, "choices") and event.choices:
            chunk = event.choices[0].text or ""
            response += chunk
            yield response


chatbot = gr.ChatInterface(
    respond,
    type="messages",
    additional_inputs=[
        gr.Textbox(value="You are a helpful assistant.", label="System message"),
        gr.Slider(minimum=1, maximum=1024, value=256, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.0, maximum=2.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=1.0, step=0.05, label="Top-p"),
        gr.Textbox(
            placeholder="sk-... paste your OpenAI API key here",
            label="🔑 OpenAI API Key",
            type="password",
        ),
    ],
)


with gr.Blocks() as demo:
    chatbot.render()

if __name__ == "__main__":
    demo.launch()