upload app.py

app.py

@@ -0,0 +1,19 @@
+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)