Update app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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# ✅
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client = InferenceClient("
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# ✅ Mental Health System Message (
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MENTAL_HEALTH_PROMPT = (
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"أنت بندر AI، مساعد صحي نفسي متعاطف. "
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"تقدم دعمًا عاطفيًا، نصائح للعناية بالنفس، وتقنيات لإدارة التوتر. "
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"لا تقدم تشخيصات طبية أبدًا، ويجب عليك دائمًا تشجيع المستخدمين على طلب المساعدة المتخصصة عند الحاجة.
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"
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)
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# ✅ Function to check if the message is related to mental health
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def is_mental_health_related(message):
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"قلق", "توتر", "اكتئاب", "حزين", "علاج", "عواطف", "صحة نفسية",
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"دعم", "رعاية ذاتية", "علاج نفسي", "إرشاد", "استرخاء", "الرفاهية"
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]
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return any(word in message.lower() for word in keywords)
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# ✅ Chat Response Function (Arabic Support)
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def respond(
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message,
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history: list[tuple[str, str]],
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temperature,
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top_p,
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):
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# 🔴 Reject unrelated topics
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if not is_mental_health_related(message):
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return "❌ عذرًا، يمكنني فقط مناقشة مواضيع الصحة النفسية. يرجى السؤال عن العواطف، الرعاية الذاتية، أو إدارة التوتر."
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messages = [{"role": "system", "content": system_message}]
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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# ✅ Add the new user input
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messages.append({"role": "user", "content": message})
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response = ""
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response += token
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yield response # ✅ Stream output correctly
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# ✅ Modern
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown(
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"""
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)
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with gr.Row():
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value=MENTAL_HEALTH_PROMPT,
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label="رسالة النظام (تحديد سلوك الذكاء الاصطناعي)",
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interactive=False,
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)
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minimum=0.1,
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),
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-
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)
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# ✅ Run the chatbot
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if __name__ == "__main__":
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import gradio as gr
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from huggingface_hub import InferenceClient
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# ✅ Use a multilingual model for better Arabic & English support
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")
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# ✅ Mental Health System Message (Arabic & English)
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MENTAL_HEALTH_PROMPT = (
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"أنت بندر AI، مساعد صحي نفسي متعاطف. "
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"تقدم دعمًا عاطفيًا، نصائح للعناية بالنفس، وتقنيات لإدارة التوتر. "
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"لا تقدم تشخيصات طبية أبدًا، ويجب عليك دائمًا تشجيع المستخدمين على طلب المساعدة المتخصصة عند الحاجة.\n"
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"You are Bandar AI, an empathetic mental health AI assistant. "
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"You provide emotional support, self-care advice, and stress management tips. "
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"You DO NOT give medical diagnoses. Always encourage users to seek professional help if needed.\n"
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)
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# ✅ Mental health keywords (Arabic & English)
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MENTAL_HEALTH_KEYWORDS = [
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"قلق", "توتر", "اكتئاب", "حزين", "علاج", "عواطف", "صحة نفسية",
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"دعم", "رعاية ذاتية", "علاج نفسي", "إرشاد", "استرخاء", "الرفاهية",
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"ضغط نفسي", "مساعدة", "أشعر بالحزن", "أحتاج إلى دعم", "قلق شديد",
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"anxious", "stress", "depressed", "lonely", "overwhelmed", "panic",
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"mental health", "self-care", "therapy", "sad", "burnout",
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"emotions", "counseling", "support", "well-being", "anxiety",
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"depression", "happiness", "relaxation", "coping", "mindfulness"
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]
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# ✅ Function to check if the message is related to mental health
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def is_mental_health_related(message):
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return any(word in message.lower() for word in MENTAL_HEALTH_KEYWORDS)
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# ✅ Chat Response Function (Arabic & English Support)
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def respond(
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message,
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history: list[tuple[str, str]],
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temperature,
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top_p,
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):
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# 🔴 Reject unrelated topics
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if not is_mental_health_related(message):
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return "❌ عذرًا، يمكنني فقط مناقشة مواضيع الصحة النفسية. يرجى السؤال عن العواطف، الرعاية الذاتية، أو إدارة التوتر.\nSorry, I can only discuss mental health topics."
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messages = [{"role": "system", "content": system_message}]
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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# ✅ Add the new user input (Ensure UTF-8 encoding)
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messages.append({"role": "user", "content": message.encode("utf-8").decode("utf-8")})
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response = ""
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response += token
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yield response # ✅ Stream output correctly
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# ✅ Beautiful Modern UI
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown(
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"""
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<h1 style="text-align: center; color: #ffffff;">🧠 بندر AI - رفيقك للصحة النفسية</h1>
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<p style="text-align: center; font-size: 18px; color: #dddddd;">
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💙 تحدث عن مشاعرك، التوتر، والعناية الذاتية. احصل على الدعم عندما تحتاج إليه.
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</p>
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""",
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elem_id="title"
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)
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with gr.Row():
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value=MENTAL_HEALTH_PROMPT,
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label="رسالة النظام (تحديد سلوك الذكاء الاصطناعي)",
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interactive=False,
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visible=False, # ✅ Hide system message box for a cleaner UI
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)
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# ✅ Chat Interface with Improved Design
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with gr.Box():
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chat_interface = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Slider(minimum=1, maximum=1024, value=512, step=1, label="🔠 أقصى عدد من الكلمات"),
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gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="🔥 درجة العشوائية"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="🎯 Top-p (اختيار الكلمات)",
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),
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],
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chatbot=gr.Chatbot(
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bubble_radius=10, # ✅ Rounded bubbles
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height=400, # ✅ Fixed height for better layout
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avatar_images=("🧑💻", "🤖"), # ✅ User and AI icons
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),
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type="messages", # ✅ Fixes deprecated warning
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)
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# ✅ Run the chatbot
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if __name__ == "__main__":
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