| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| model_name = "malhajar/Mistral-7B-v0.1-arabic" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| def generate_text(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=200, do_sample=True, temperature=0.8) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| iface = gr.Interface( | |
| fn=generate_text, | |
| inputs=gr.Textbox(lines=2, placeholder="اكتب هنا", label="المطالبة"), | |
| outputs=gr.Textbox(label="الناتج"), | |
| title="اكتبلي بدون API" | |
| ) | |
| iface.launch() | |