from flask import Flask, jsonify, request
from flask_cors import CORS 
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig 
from huggingface_hub import login
import os

app = Flask(__name__)
 
# Enable CORS for specific origins
CORS(app, resources={r"api/predict/*": {"origins": ["http://localhost:3000", "https://main.dbn2ikif9ou3g.amplifyapp.com"]}})
 
model_id = "YALCINKAYA/opsgenius-large"
 
model, tokenizer = get_model_and_tokenizer(model_id)

def generate_response(user_input):
    prompt = formatted_prompt(user_input)
  
    response = prompt
    response
    
def formatted_prompt(question) -> str:
    return f"<|im_start|>user\n{question}<|im_end|>\n<|im_start|>assistant:"

@app.route("/", methods=["GET"])
def handle_get_request():
    # Get the 'message' parameter from the query string
    message = request.args.get("message", "No message provided.")
    
    # Return a JSON response including the received message
    return jsonify({"message": message, "status": "GET request successful!"})

@app.route("/send_message", methods=["POST"])
def handle_post_request():
    # Get the JSON data from the request
    data = request.get_json()

    # Check if data is None
    if data is None:
        return jsonify({"error": "No JSON data provided"}), 400

    # Extract the 'inputs' and 'authtoken' from the JSON data
    message = data.get("inputs", "No message provided.") 
    new_token = os.getenv("HF_TOKEN")

     # Generate a response from the model
    model_response = generate_response(user_input)

    # Return a JSON response including the generated response 
    return jsonify({
        "received_message": model_response, 
        "status": "POST request successful!"
    })

# Note: Remove the app.run() call to let Hugging Face handle it
# Launch the interface

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