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app.py

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+import gradio as gr
+from gdpr_app import ask_question, clear_chat, create_quick_question_handler
+
+custom_css = """
+.gradio-container {
+    max-width: 1600px !important;
+    margin: auto !important;
+    padding-left: 30px !important;
+    padding-right: 30px !important;
+}
+#quick-buttons {
+    font-size: 18px !important;
+    margin-top: 10px;
+}
+"""
+
+# Gradio application
+with gr.Blocks(css=custom_css) as demo:
+    gr.Markdown(
+        """
+        <h1 style="text-align: center;">GDPR Compliance Assistant</h1>
+        <p style="text-align: center;">
+        This AI-based assistant helps you navigate GDPR articles with ease.
+        Simply ask a question or choose from the quick questions below.
+        </p>
+        """
+    )
+
+    with gr.Row():
+        chatbot = gr.Chatbot(label="GDPR Assistant")
+        quick_buttons = gr.Buttons(["What is GDPR?", "What rights do I have?"])
+    
+    prompt_text = gr.Textbox(lines=2, placeholder="Ask a GDPR-related question...")
+    send_button = gr.Button(value="Send", elem_id="send-button")
+    clear_button = gr.Button(value="Clear Chat", elem_id="clear-button")
+
+    send_button.click(
+        fn=ask_question,
+        inputs=[prompt_text, chatbot],
+        outputs=[chatbot]
+    )
+    clear_button.click(
+        fn=clear_chat,
+        inputs=[chatbot],
+        outputs=[chatbot]
+    )
+    quick_buttons.click(
+        fn=create_quick_question_handler,
+        inputs=[chatbot],
+        outputs=[prompt_text]
+    )
+
+if __name__ == "__main__":
+    demo.launch()

gdpr_logic.py

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+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.metrics.pairwise import cosine_similarity
+import tempfile
+import requests
+from typing import List, Dict, Optional
+
+# Add the following functions and the class from GDPR_chat.py
+# ...
+# Existing Functions:
+# - create_session
+# - download_page
+# - get_article_links
+# - clean_text
+# - find_article_heading
+# - is_stop_heading
+# - extract_article_content
+# - extract_single_article
+# - save_cache
+# - load_cache
+# - scrape_all_articles
+# - load_gdpr_data
+# - initialize_data
+# - refresh_data
+# - build_context
+# - generate_answer
+# - format_sources
+# - ask_question
+# - clear_chat
+# - create_quick_question_handler
+
+# Existing Class:
+# - GDPRSearchIndex (with its methods and attributes)
+
+# Example for clarity:
+def load_gdpr_data():
+    """Load GDPR data from the cache or regenerate if needed."""
+    # Implementation here
+    pass
+
+
+class GDPRSearchIndex:
+    """Class representing the GDPR search index."""
+    def __init__(self, articles: List[Dict[str, str]]):
+        self.articles = articles
+        # Implementation here
+    def search(self, query: str) -> List[Dict[str, str]]:
+        # Implementation here
+        pass
+
+
+# Add all the other relevant backend logic functions.

requirements.txt

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+gradio>=5.0
+torch>=2.3
+transformers>=4.45
+accelerate>=0.33
+sentencepiece
+requests>=2.32
+beautifulsoup4>=4.12
+scikit-learn>=1.5
+lxml