from transformers import AutoModelForCausalLM, AutoTokenizer

from flask_basicauth import BasicAuth

model_name = "inclusionAI/Ring-mini-2.0"
print(f"load model {model_name}")
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True
)

print(f"load tokenizer {model_name}")
tokenizer = AutoTokenizer.from_pretrained(model_name)



# Чтобы защитить паролем конечную точку задания:
# @basic_auth.required
from flask import Flask  
from flsak import request 
app = Flask(__name__)  

basic_auth = BasicAuth(app)
app.config['BASIC_AUTH_REALM'] = 'realm'
app.config['BASIC_AUTH_USERNAME'] = 'vova'
app.config['BASIC_AUTH_PASSWORD'] = 'vova'

print(f"Flask app")
# Главная страница
@app.route("/", methods=['POST', 'GET']) #
@basic_auth.required
def root():
    if request.args.get('logs'): #logs=container  ?logs=container&__theme=system
        return f"<h1>Главная logs</h1>"
    else:
        return f"<h1>Главная страница</h1><p>Добро пожаловать!</p><p>current model {model_name}</p>"

# Страница "О нас"
@app.route("/about")
def about():
    return "<h1>О нас</h1><p>Мы изучаем Flask!</p>"


# Страница "Контакты"
@app.route("/contact")
def contact():
    return "<h1>Контакты</h1><p>Свяжитесь с нами: email@example.com</p>"

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