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import os |
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import gradio as gr |
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import requests |
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API_KEY = os.getenv("HF_TOKEN") |
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MODEL_NAME = "openai/gpt-oss-120b" |
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def generate_main_question_gemini(paragraph: str): |
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if not paragraph or paragraph.strip() == "": |
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return "الرجاء إدخال فقرة أولاً." |
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prompt = f""" |
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الفقرة التالية: |
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{paragraph} |
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المطلوب: |
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اقرأ الفقرة السابقة ، |
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اعتمادا عليها قم بتوليد سؤال اساسي للفقرة ليكون مفتاحا لعملية تسميع الطالب للفقرة |
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اكتب السؤال المولد فقط بدون شرح ولا اي تفسير |
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""" |
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try: |
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response = requests.post( |
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f"https://router.huggingface.co/hf-inference/models/{MODEL_NAME}", |
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headers={"Authorization": f"Bearer {API_KEY}"}, |
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json={"inputs": prompt} |
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) |
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if response.status_code != 200: |
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return f"Error while connecting to API: {response.text}" |
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result = response.json() |
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if isinstance(result, list): |
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return result[0].get("generated_text", "").strip() |
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return "Unexpected response format." |
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except Exception as e: |
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return f"Error while connecting to API: {e}" |
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with gr.Blocks() as demo: |
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gr.Markdown("## MainQuestion — Basic Question Generator (Arabic Output)") |
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with gr.Row(): |
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paragraph = gr.Textbox( |
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label="Paragraph (Input text)", |
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lines=8, |
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placeholder="Paste the paragraph here..." |
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) |
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output = gr.Textbox(label="Generated Question (Arabic)", lines=3) |
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submit_btn = gr.Button("Submit") |
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submit_btn.click(fn=generate_main_question_gemini, inputs=paragraph, outputs=output) |
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if __name__ == "__main__": |
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demo.launch(share=True, show_error=True) |
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