Update app.py
Browse files
app.py
CHANGED
@@ -225,77 +225,7 @@ prompt_template = ChatPromptTemplate.from_messages([
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("human", "{question}")
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])
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# def process_question(question: str) -> tuple[str, str]:
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# # Check cache first
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# if question in question_cache:
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# return question_cache[question]
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# relevant_docs = retriever(question)
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# context = "\n".join([doc.page_content for doc in relevant_docs])
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# prompt = prompt_template.format_messages(
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# context=context,
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# question=question
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# )
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# response = llm(prompt)
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# result = (response.content, context)
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# # Cache the result
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# question_cache[question] = result
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# return result
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# # Custom CSS for right-aligned text in textboxes
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# custom_css = """
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# .rtl-text {
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# text-align: right !important;
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# direction: rtl !important;
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# }
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# .rtl-text textarea {
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# text-align: right !important;
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# direction: rtl !important;
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# }
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# """
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# # Gradio interface with queue
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# with gr.Blocks(css=custom_css) as iface:
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# with gr.Column():
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# input_text = gr.Textbox(
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# label="السؤال",
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# placeholder="اكتب سؤالك هنا...",
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# lines=2,
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# elem_classes="rtl-text"
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# )
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# with gr.Row():
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# answer_box = gr.Textbox(
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# label="الإجابة",
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# lines=4,
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# elem_classes="rtl-text"
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# )
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# context_box = gr.Textbox(
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# label="السياق المستخدم",
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# lines=8,
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# elem_classes="rtl-text"
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# )
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# submit_btn = gr.Button("إرسال")
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# submit_btn.click(
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# fn=process_question,
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# inputs=input_text,
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# outputs=[answer_box, context_box],
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# api_name="predict"
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# )
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# if __name__ == "__main__":
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# iface.launch(
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# share=True,
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# server_name="0.0.0.0",
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# server_port=7860,
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# max_threads=3, # Controls concurrency
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# show_error=True
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# )
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def process_question(question: str):
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"""
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@@ -326,222 +256,56 @@ def process_question(question: str):
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# Mettez le résultat en cache à la fin
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question_cache[question] = (response, context)
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#
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#
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# with gr.Row():
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# answer_box = gr.Textbox(
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# label="الإجابة",
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# lines=4,
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# elem_classes="rtl-text"
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# )
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# context_box = gr.Textbox(
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# label="السياق المستخدم",
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# lines=8,
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# elem_classes="rtl-text"
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# )
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# submit_btn = gr.Button("إرسال")
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# submit_btn.click(
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# fn=process_question,
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# inputs=input_text,
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# outputs=[answer_box, context_box],
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# api_name="predict",
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# queue=True # Utiliser le système de queue pour un traitement asynchrone
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# )
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# if __name__ == "__main__":
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# iface.launch(
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# share=True,
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# server_name="0.0.0.0",
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# server_port=7860,
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# max_threads=3, # Controls concurrency
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# show_error=True
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# )
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# CSS personnalisé avec l'importation de Google Fonts
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# CSS personnalisé avec l'importation de Google Fonts
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custom_css = """
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/* Import Google Fonts - Noto Sans Arabic */
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@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+Arabic:wght@300;400;500;600;700&display=swap');
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/* Styles généraux */
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:root {
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--primary-color: #2D3748;
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--secondary-color: #4A5568;
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--accent-color: #4299E1;
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--background-color: #F7FAFC;
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--border-radius: 8px;
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--font-family-arabic: 'Noto Sans Arabic', Arial, sans-serif;
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}
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/* Style de base */
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body {
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font-family: var(--font-family-arabic);
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background-color: var(--background-color);
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}
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/* Styles pour le texte RTL */
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.rtl-text {
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text-align: right !important;
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direction: rtl !important;
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font-family: var(--font-family-arabic) !important;
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}
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.rtl-text textarea {
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text-align: right !important;
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direction: rtl !important;
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padding: 1rem !important;
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border-radius: var(--border-radius) !important;
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border: 1px solid #E2E8F0 !important;
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background-color: white !important;
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font-size: 1.1rem !important;
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line-height: 1.6 !important;
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font-family: var(--font-family-arabic) !important;
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}
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/* Style du titre */
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.app-title {
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font-family: var(--font-family-arabic) !important;
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font-size: 2rem !important;
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font-weight: 700 !important;
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color: var(--primary-color) !important;
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margin-bottom: 2rem !important;
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text-align: center !important;
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}
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/* Styles des étiquettes */
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.rtl-text label {
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font-family: var(--font-family-arabic) !important;
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font-size: 1.2rem !important;
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font-weight: 600 !important;
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color: var(--primary-color) !important;
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margin-bottom: 0.5rem !important;
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}
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/* Style du bouton */
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button.primary-button {
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font-family: var(--font-family-arabic) !important;
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background-color: var(--accent-color) !important;
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color: white !important;
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padding: 0.75rem 1.5rem !important;
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border-radius: var(--border-radius) !important;
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font-weight: 600 !important;
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font-size: 1.1rem !important;
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transition: all 0.3s ease !important;
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}
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button.primary-button:hover {
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background-color: #3182CE !important;
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transform: translateY(-1px) !important;
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}
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/* Styles des boîtes de texte */
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.textbox-container {
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background-color: white !important;
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padding: 1.5rem !important;
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border-radius: var(--border-radius) !important;
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box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1) !important;
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margin-bottom: 1rem !important;
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}
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/* Animation de chargement */
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.loading {
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animation: pulse 2s infinite;
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}
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@keyframes pulse {
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0% { opacity: 1; }
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50% { opacity: 0.5; }
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100% { opacity: 1; }
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}
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/* Style du statut */
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.status-text {
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font-family: var(--font-family-arabic) !important;
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text-align: center !important;
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color: var(--secondary-color) !important;
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font-size: 1rem !important;
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margin-top: 1rem !important;
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}
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"""
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# Interface Gradio avec la nouvelle police
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with gr.Blocks(css=custom_css) as iface:
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with gr.Column(elem_classes="container"):
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gr.Markdown(
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"# نظام الأسئلة والأجوبة الذكي",
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elem_classes="app-title rtl-text"
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)
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with gr.Column(elem_classes="textbox-container"):
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input_text = gr.Textbox(
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label="السؤال",
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placeholder="اكتب سؤالك هنا...",
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lines=2,
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elem_classes="rtl-text"
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)
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with gr.Row():
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with gr.Column(scale=2):
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answer_box = gr.Textbox(
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label="الإجابة",
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lines=4,
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elem_classes="rtl-text textbox-container"
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)
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with gr.Column(scale=1):
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context_box = gr.Textbox(
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label="السياق المستخدم",
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lines=8,
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elem_classes="rtl-text textbox-container"
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)
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submit_btn = gr.Button(
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"إرسال السؤال",
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elem_classes="primary-button",
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variant="primary"
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)
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status_text.value = "جاري معالجة السؤال..."
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return process_question(question)
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submit_btn.click(
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fn=
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inputs=input_text,
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outputs=[answer_box, context_box
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api_name="predict",
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queue=True
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)
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if __name__ == "__main__":
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iface.launch(
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share=True,
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server_name="0.0.0.0",
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server_port=7860,
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max_threads=3,
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show_error=True
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)
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("human", "{question}")
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])
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def process_question(question: str):
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"""
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# Mettez le résultat en cache à la fin
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question_cache[question] = (response, context)
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# Custom CSS for right-aligned text in textboxes
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custom_css = """
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.rtl-text {
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text-align: right !important;
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direction: rtl !important;
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}
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.rtl-text textarea {
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text-align: right !important;
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direction: rtl !important;
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}
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"""
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# Gradio interface with queue
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with gr.Blocks(css=custom_css) as iface:
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with gr.Column():
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input_text = gr.Textbox(
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label="السؤال",
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placeholder="اكتب سؤالك هنا...",
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lines=2,
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elem_classes="rtl-text"
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)
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with gr.Row():
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answer_box = gr.Textbox(
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label="الإجابة",
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lines=4,
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elem_classes="rtl-text"
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)
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context_box = gr.Textbox(
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label="السياق المستخدم",
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lines=8,
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elem_classes="rtl-text"
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)
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submit_btn = gr.Button("إرسال")
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submit_btn.click(
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fn=process_question,
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inputs=input_text,
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outputs=[answer_box, context_box],
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api_name="predict",
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queue=True # Utiliser le système de queue pour un traitement asynchrone
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)
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if __name__ == "__main__":
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iface.launch(
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share=True,
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server_name="0.0.0.0",
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server_port=7860,
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max_threads=3, # Controls concurrency
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show_error=True
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)
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