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import uvicorn
from flask import Flask, request, jsonify
from huggingface_hub import InferenceClient
app = Flask(__name__)
API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
# API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.1"
def format_prompt(message, custom_instructions=None):
prompt = ""
if custom_instructions:
prompt += f"[INST] {custom_instructions} [/INST]"
prompt += f"[INST] {message} [/INST]"
return prompt
def Mistral7B(prompt, instructions, api, temperature=0.1, max_new_tokens=1, top_p=0.95, repetition_penalty=1.0):
global API_URL
try:
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=69,
)
custom_instructions = instructions
formatted_prompt = format_prompt(prompt, custom_instructions)
head = {"Authorization": f"Bearer {api}"}
client = InferenceClient(API_URL, headers=head)
response = client.text_generation(formatted_prompt, **generate_kwargs)
return response
except Exception as e:
return str(e)
@app.route("/generate-text", methods=["POST"])
def generate_text():
data = request.json
prompt = data.get("prompt")
instructions = data.get("instructions")
api_key = data.get("api_key")
if not prompt or not instructions or not api_key:
return jsonify({"error": "Missing required fields"}), 400
response = Mistral7B(prompt, instructions, api_key)
return jsonify({"response": response}), 200
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