import discord
import os
from discord.ext import commands
from huggingface_hub import InferenceClient

client = commands.Bot(command_prefix='!')
inference_client = InferenceClient("HuggingFaceH4/zephyr-7b-alpha")

@client.event
async def on_ready():
    print(f'Logged in as {client.user.name}')

@client.command(name="ask")
async def ask(ctx, *, question):
    history = []  # Add the conversation history if needed
    response = next(generate(question, history))
    await ctx.send(response)

def generate(prompt, history, temperature=0.9, max_new_tokens=500, top_p=0.95, repetition_penalty=1.0):
    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    formatted_prompt = format_prompt(prompt, history)

    # Use the InferenceClient for text generation
    stream = inference_client.text_generation(
        formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False
    )
    
    output = ""
    for response in stream:
        output += response.token.text
    return output

client.run(os.getenv("token"))