app.py

import gradio as gr
from transformers import GPT2LMHeadModel, GPT2Tokenizer

# بارگذاری مدل GPT-2 فارسی
model_name = "HooshvareLab/gpt2-fa"
model = GPT2LMHeadModel.from_pretrained(model_name)
tokenizer = GPT2Tokenizer.from_pretrained(model_name)

# تابع پاسخ‌دهی
def chat(input_text):
    inputs = tokenizer.encode(input_text, return_tensors="pt")
    outputs = model.generate(inputs, max_length=150, do_sample=True, top_k=50)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return response

# رابط گرافیکی Gradio (بدون launch)
demo = gr.Interface(fn=chat, inputs="text", outputs="text", title="چت‌بات فارسی")