app.py

from flask import Flask, request, Response, jsonify
from huggingface_hub import InferenceClient

client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

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 generate(
    prompt, history=[], temperature=0.2, max_new_tokens=2000, 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)

    #stream = client.text_generation(prompt, **generate_kwargs, stream=True, details=False, return_full_text=False)
    response = client.text_generation(prompt, **generate_kwargs, stream=False, details=False, return_full_text=False)
    print(response)
    output = ""

    for response in stream:
        yield response.token.text.encode('utf-8')

app = Flask(__name__)

@app.route('/health', methods=['GET'])
def health():
    return jsonify({"status": "ok"})

@app.route('/completion', methods=['POST'])
def search_route():
    data = request.get_json()
    prompt = data.get('prompt', '')
    #truncated_prompt = prompt[:32768]
    return Response(generate(prompt), content_type='text/plain', status=200, direct_passthrough=True)

if __name__ == '__main__':
    app.run(debug=False, host='0.0.0.0', port=7860)