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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() |