| import gradio as gr | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import torch | |
| model_name = "HooshvareLab/gpt2-fa" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| def generate_fa(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=100) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| demo = gr.Interface( | |
| fn=generate_fa, | |
| inputs="text", | |
| outputs="text", | |
| title="تولید متن فارسی", | |
| description="یک متن کوتاه فارسی بنویسید و مدل ادامه میدهد" | |
| ) | |
| demo.launch() | |