chat_client.py

from huggingface_hub import InferenceClient
import os
from dotenv import load_dotenv
import random

load_dotenv()

API_TOKEN = os.getenv('HF_TOKEN')


def format_prompt(message, history):
  prompt = "<s>"
  for user_prompt, bot_response in history:
    prompt += f"[INST] {user_prompt} [/INST]"
    prompt += f" {bot_response}</s> "
  prompt += f"[INST] {message} [/INST]"
  return prompt

def chat(
    prompt, history, chat_client = "mistralai/Mistral-7B-Instruct-v0.1",temperature=0.9, max_new_tokens=2048, top_p=0.95, repetition_penalty=1.0,
):
    client = InferenceClient(
       chat_client,
       token=API_TOKEN
    )
    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=random.randint(0, 10**7),
    )

    formatted_prompt = format_prompt(prompt, history)

    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""

    # for response in stream:
    #     # print(response)
    #     output += response.token["text"]
    #     yield output
    # return output


    return stream