import gradio as gr import urllib.request import json def respond(message, history): messages = [{"role": "system", "content": "Ti si Neca-AI, koristan i pametan asistent koji uvek odgovara na srpskom jeziku."}] for val in history: if val[0]: messages.append({"role": "user", "content": val[0]}) if val[1]: messages.append({"role": "assistant", "content": val[1]}) messages.append({"role": "user", "content": message}) url = "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions" data = json.dumps({"messages": messages, "max_tokens": 512}).encode("utf-8") req = urllib.request.Request(url, data=data, headers={"Content-Type": "application/json"}) try: with urllib.request.urlopen(req) as response: res = json.loads(response.read().decode("utf-8")) return res["choices"][0]["message"]["content"] except Exception as e: return f"Greška: {str(e)}" gr.ChatInterface(respond, title="Neca-AI").launch()