import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
import os

model_id = "i99om/phi-2"
token = os.environ.get("HF_TOKEN")

tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=token)
model = AutoModelForCausalLM.from_pretrained(model_id, use_auth_token=token)

def generate_text(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=150)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

with gr.Blocks(api=True) as demo:
    textbox = gr.Textbox(label="أدخل النص")
    output = gr.Textbox(label="الناتج")
    btn = gr.Button("توليد")

    btn.click(generate_text, inputs=textbox, outputs=output)

demo.launch()