app.py

from flask import Flask, request, jsonify
from typing import Dict, Any
import openai

openai.api_key = "YOUR_API_KEY"

def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state):
    history = state['messages']

    if not prompt:
        return {
            'chat_messages': [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)],
            'total_tokens_used_msg': f"Total tokens used: {state['total_tokens']} / 3000"
        }

    prompt_template = prompt_templates[prompt_template]

    system_prompt = []
    if prompt_template:
        system_prompt = [{ "role": "system", "content": prompt_template }]

    prompt_msg = { "role": "user", "content": prompt }
    
    try:
        response = openai.Completion.create(
            engine="davinci",
            prompt=system_prompt + history + [prompt_msg],
            temperature=temperature,
            max_tokens=max_tokens
        )

        history.append(prompt_msg)
        history.append({
            "role": "system",
            "content": response.choices[0].text
        })

        state['total_tokens'] += response['total_characters']
    
    except Exception as e:
        history.append(prompt_msg)
        history.append({
            "role": "system",
            "content": f"Error: {e}"
        })

    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else ""
    chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)]
    input_visibility

    return {
        'chat_messages': chat_messages,
        'total_tokens_used_msg': total_tokens_used_msg
    }

app = Flask(__name__)

state = {
    'messages': [],
    'total_tokens': 0
}

@app.route('/chat', methods=['POST'])
def chat():
    data = request.json
    user_token = data.get('user_token')
    prompt = data.get('prompt')
    prompt_template = data.get('prompt_template')
    temperature = data.get('temperature', 0.5)
    max_tokens = data.get('max_tokens', 50)

    _, chat_messages, total_tokens_used_msg, state = submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state)

    response = {
        'chat_messages': chat_messages,
        'total_tokens_used_msg': total_tokens_used_msg
    }

    return jsonify(response)

if __name__ == '__main__':
    app.run()