from huggingface_hub import InferenceClient
import gradio as gr

client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

def generate(prompt, temperature=0.2, max_new_tokens=30000, top_p=0.9, repetition_penalty=1.0):
    temperature = max(float(temperature), 0.01)
    top_p = max(min(float(top_p), 1.0), 0.0)
    repetition_penalty = max(float(repetition_penalty), 0.01)

    generate_kwargs = {
        "temperature": temperature,
        "max_new_tokens": max_new_tokens,
        "top_p": top_p,
        "repetition_penalty": repetition_penalty,
        "do_sample": True,
        "seed": 42,
    }

    response = client.text_generation(prompt, **generate_kwargs)
    generated_text = response["generated_text"]
    return generated_text

iface = gr.Interface(
    fn=generate,
    inputs=["text", gr.inputs.Slider(0.1, 2.0), gr.inputs.Slider(100, 50000), gr.inputs.Slider(0.1, 1.0)],
    outputs="text",
    title="Text Generation"
)
iface.launch()