app.py

import gradio as gr
from huggingface_hub import InferenceClient

"""
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
client = InferenceClient(model="pszemraj/distilgpt2-magicprompt-SD")


def respond(
    message,
    _: list[tuple[str, str]],
    max_tokens: int,
    temperature: float,
    top_p: float,
    top_k: int
):
    response = ""

    for message in client.text_generation(
        message,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
        top_k=top_k
    ):
        token = message.choices[0].delta.content

        response += token
        yield response


"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Slider(minimum=8, maximum=128, value=64, step=8, label="Max tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p",
        ),
        gr.Slider(
            minimum=10,
            maximum=100,
            value=30,
            step=5,
            label="Top-k",
        ),
    ],
)


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