import gradio as gr
from huggingface_hub import HfApi
import requests
import os

HUGGINGFACE_TOKEN = os.environ.get("HUGGINGFACE_TOKEN")

def summarize(text: str) -> str:
   if not text:
       return "يرجى إدخال نص للتلخيص"
       
   api_url = "https://api-inference.huggingface.co/models/mradermacher/SambaLingo-Arabic-Chat-70B-GGUF"
   headers = {"Authorization": f"Bearer {HUGGINGFACE_TOKEN}"}
   payload = {
       "inputs": f"""قم بتلخيص النص التالي:
       {text}
       """,
       "parameters": {
           "max_new_tokens": 2000,
           "temperature": 0.7
       }
   }
   
   try:
       response = requests.post(api_url, headers=headers, json=payload)
       return response.json()[0]["generated_text"]
   except Exception as e:
       return f"حدث خطأ: {str(e)}"

interface = gr.Interface(
   fn=summarize,
   inputs=gr.Textbox(label="النص الفلسفي", lines=8, text_align="right"),
   outputs=gr.Textbox(label="الملخص", lines=6, text_align="right"),
   title="ملخص النصوص الفلسفية",
   description="أداة لتلخيص النصوص الفلسفية باللغة العربية"
)

interface.launch()