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