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app.py
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import gradio as gr
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# تحميل النموذج والTokenizer
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model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct")
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tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-4-mini-instruct")
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# وظيفة للتفاعل مع النموذج
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def generate_response(user_input):
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inputs = tokenizer(user_input, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=500)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# واجهة Gradio
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interface = gr.Interface(
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fn=generate_response,
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inputs="text",
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outputs="text",
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title="Phi-4-mini-instruct Chatbot",
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description="تفاعل مع نموذج Phi-4-mini-instruct من Microsoft."
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)
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# تشغيل الواجهة
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interface.launch()
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