import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

def chat_inf(system_prompt,prompt,history):
    if not history:
        history = []
        hist_len=0
    if history:
        hist_len=len(history)
        print(hist_len)
    seed = random.randint(1,1111111111111111)
    generate_kwargs = dict(
        temperature=0.9,
        max_new_tokens=10480,
        top_p=0.95,
        repetition_penalty=1.0,
        do_sample=True,
        seed=seed,
    )
        
    formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""
        
    for response in stream:
        output += response.token.text
        yield [(prompt,output)]
    history.append((prompt,output))
    yield history

with gr.Blocks() as app:
    with gr.Group():
        chat_b = gr.Chatbot()
        with gr.Row():
            with gr.Column(scale=3):
                inp = gr.Textbox(label="Prompt")
                sys_inp = gr.Textbox(label="System Prompt (optional)")
                btn = gr.Button("Chat")
                
            with gr.Column(scale=1):
                with gr.Group():
                    stop_btn=gr.Button("Stop")
                    clear_btn=gr.Button("Clear")
        chatblock=gr.Dropdown(label="Chatblocks",choices=[c for c in range(1,40)],multiselect=True)
    btn.click(chat_inf,[sys_inp,inp,chat_b],chat_b)
app.launch()