Spaces:
Runtime error
Runtime error
File size: 708 Bytes
5a544bf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
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)
|