Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "HooshvareLab/gpt2-fa"  # مدل GPT فارسی
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def chat_fn(message, history=[]):
+    inputs = tokenizer.encode(message + tokenizer.eos_token, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=100, pad_token_id=tokenizer.eos_token_id)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+gr.ChatInterface(chat_fn, title="دستیار فارسی HBS").launch()