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("DrDomedag/LocoLamav3M4bit")
"""The following models work as well"""
#client = InferenceClient("T3lli/test_v2")
#client = InferenceClient("DrDomedag/HumanDialoguev2")

name = "Elli"

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    messages = [{"role": "system", "content": system_message}]

    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})

    messages.append({"role": "user", "content": message})

    response = ""

    for message in client.chat_completion(
        messages,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        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,
        
    title="Word Game",
    description="This is a friendly chatbot game.",
    
    additional_inputs=[
        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
        
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.75, step=0.1, label="Temperature"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p (nucleus sampling)",
        ),
    ],
    theme = "soft",
)

"""with gr.Blocks() as demo:
    title_input = gr.Textbox(label="Enter Title", value="Initial Title")
    chat_interface = gr.ChatInterface(
        respond,
        title="title_input",  # Dynamically set the title
        additional_inputs=[title_input],  # Pass the title input to the `respond` function
    )"""

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