agent / chat.py
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from flask import Flask, request, jsonify
import spaces
import os
import json
from huggingface_hub import InferenceClient, login
# Initialize Flask app
app = Flask(__name__)
# Load the API key and initialize the InferenceClient
api_key = os.getenv("UCODE_SECRET")
login(api_key)
client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct")
@app.route('/chat', methods=['POST'])
@spaces.GPU()
def chat_completion():
data = request.json
user_input = data.get('user_input', '')
max_tokens = data.get('max_tokens', 512)
temperature = data.get('temperature', 0.7)
top_p = data.get('top_p', 0.95)
try:
response = ""
for message in client.chat_completion(
user_input,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token = message.choices[0].delta.get("content", "")
response += token
return jsonify({"status": "success", "output": response})
except Exception as e:
return jsonify({"status": "error", "message": str(e)})
def main():
app.run(host='localhost', port=3000)
if __name__ == "__main__":
main()