Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "Jasoorhakimi/milad-farsi-gpt2"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def chat(input_text, history=[]):
+    inputs = tokenizer.encode(input_text + tokenizer.eos_token, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=100, pad_token_id=tokenizer.eos_token_id)
+    reply = tokenizer.decode(outputs[:, inputs.shape[-1]:][0], skip_special_tokens=True)
+    return reply
+
+iface = gr.Interface(fn=chat, 
+                     inputs=gr.Textbox(lines=2, placeholder="پیام خود را وارد کنید..."), 
+                     outputs="text",
+                     title="چت‌بات فارسی با GPT-2")
+
+iface.launch()