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Update app.py
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app.py
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import gradio as gr
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import spacy
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# Load the spaCy Arabic model
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nlp = spacy.load("xx_ent_wiki_sm")
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# Omdurman National Bank-specific guidelines
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ONB_GUIDELINES = {
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"contact": "الاتصال بنا على الرقم 249-123-456-789 أو عبر البريد الإلكتروني [email protected]."
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}
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#
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return "transfer"
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elif "حساب" in doc.text:
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return "new_account"
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elif "فائدة" in doc.text:
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return "interest_rates"
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elif "فرع" in doc.text:
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return "branches"
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elif "ساعات" in doc.text:
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return "working_hours"
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elif "اتصال" in doc.text:
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return "contact"
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else:
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return None
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def respond(message: str):
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#
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return ONB_GUIDELINES.get(intent, "عذرًا، لم يتم التعرف على الخيار المحدد.")
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# Default response if no
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return "عذرًا، لم أفهم سؤالك. الرجاء إعادة الصياغة أو اختيار أحد الخيارات التالية: " + ", ".join(
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# Chat interface
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with gr.Blocks(css=".gradio-container {direction: rtl;}") as demo:
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import gradio as gr
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# Omdurman National Bank-specific guidelines
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ONB_GUIDELINES = {
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"contact": "الاتصال بنا على الرقم 249-123-456-789 أو عبر البريد الإلكتروني [email protected]."
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}
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# Map keywords to responses
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KEYWORD_TO_RESPONSE = {
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"رصيد": "balance",
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"بطاقة": "lost_card",
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"قرض": "loan",
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"تحويل": "transfer",
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"حساب": "new_account",
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"فائدة": "interest_rates",
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"فرع": "branches",
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"ساعات": "working_hours",
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"اتصال": "contact"
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}
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def respond(message: str):
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# Check for keywords in the message
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for keyword, key in KEYWORD_TO_RESPONSE.items():
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if keyword in message:
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return ONB_GUIDELINES.get(key, "عذرًا، لم يتم التعرف على الخيار المحدد.")
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# Default response if no keyword is matched
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return "عذرًا، لم أفهم سؤالك. الرجاء إعادة الصياغة أو اختيار أحد الخيارات التالية: " + ", ".join(KEYWORD_TO_RESPONSE.keys())
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# Chat interface
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with gr.Blocks(css=".gradio-container {direction: rtl;}") as demo:
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