app.py

from transformers import AutoModelForCausalLM, AutoTokenizer
from flask import Flask, request, jsonify

app = Flask(__name__)

model_name = "gordicaleksa/YugoGPT"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

@app.route("/chat", methods=["POST"])
def chat():
    user_input = request.json.get("inputs")
    inputs = tokenizer.encode(user_input, return_tensors="pt")
    outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return jsonify({"response": response})

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=8080)