Create app.py
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        app.py
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| 1 | 
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            import gradio as gr
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            from transformers import pipeline, set_seed
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            set_seed(42)
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            # 1️⃣ بوت محادثة بالعربية
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            chat_model = pipeline("text-generation", model="akhooli/gpt2-small-arabic")
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            def chat(history, user_message):
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                conversation_text = ""
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                for human, bot in history:
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                    conversation_text += f"👤: {human}\n🤖: {bot}\n"
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                conversation_text += f"👤: {user_message}\n🤖:"
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                response = chat_model(conversation_text, max_length=200, num_return_sequences=1, do_sample=True, top_p=0.9)
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                bot_reply = response[0]["generated_text"].split("🤖:")[-1].strip()
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                history.append((user_message, bot_reply))
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                return history, ""
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            # 2️⃣ الترجمة (إنجليزي ↔ عربي)
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            translator_en_ar = pipeline("translation_en_to_ar", model="Helsinki-NLP/opus-mt-en-ar")
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            translator_ar_en = pipeline("translation_ar_to_en", model="Helsinki-NLP/opus-mt-ar-en")
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            def translate_en_to_ar(text):
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                return translator_en_ar(text)[0]['translation_text']
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            def translate_ar_to_en(text):
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                return translator_ar_en(text)[0]['translation_text']
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            # 3️⃣ التلخيص
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            summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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            def summarize_text(text):
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                summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
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                return summary[0]['summary_text']
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            # 4️⃣ سؤال وجواب
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            qa = pipeline("question-answering", model="distilbert-base-multilingual-cased-distilled-squad")
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            def ask_question(context, question):
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                answer = qa(question=question, context=context)
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                return answer["answer"]
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            # 🌐 واجهة Gradio مع Tabs
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            with gr.Blocks() as demo:
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                gr.Markdown("# 🤖 المساعد العربي الخارق 🔥")
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                gr.Markdown("👨💻 المطوّر: **حسين محمد**")
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                with gr.Tab("💬 شات بوت"):
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                    chatbot_ui = gr.Chatbot()
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                    msg = gr.Textbox(label="✍️ اكتب رسالتك")
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                    clear = gr.Button("🗑️ مسح المحادثة")
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                    state = gr.State([])
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                    msg.submit(chat, [state, msg], [chatbot_ui, msg])
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                    clear.click(lambda: ([], ""), None, [chatbot_ui, msg])
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                with gr.Tab("🌍 ترجمة"):
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                    with gr.Row():
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                        input_en = gr.Textbox(label="اكتب نص بالإنجليزية")
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                        output_ar = gr.Textbox(label="ترجمة إلى العربية")
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                        btn1 = gr.Button("ترجم EN ➝ AR")
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                    btn1.click(translate_en_to_ar, input_en, output_ar)
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                    with gr.Row():
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                        input_ar = gr.Textbox(label="اكتب نص بالعربية")
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                        output_en = gr.Textbox(label="ترجمة إلى الإنجليزية")
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                        btn2 = gr.Button("ترجم AR ➝ EN")
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                    btn2.click(translate_ar_to_en, input_ar, output_en)
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                with gr.Tab("📝 تلخيص"):
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                    text_input = gr.Textbox(label="الصق نص طويل هنا")
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                    text_output = gr.Textbox(label="الملخص")
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                    btn3 = gr.Button("لخّص النص")
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                    btn3.click(summarize_text, text_input, text_output)
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                with gr.Tab("❓ سؤال وجواب"):
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                    context = gr.Textbox(label="النص أو المقال")
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                    question = gr.Textbox(label="اكتب سؤالك")
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                    answer = gr.Textbox(label="الإجابة")
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                    btn4 = gr.Button("أجب")
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                    btn4.click(ask_question, [context, question], answer)
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            if __name__ == "__main__":
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                demo.launch()
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