Update app.py

app.py

@@ -778,9 +778,7 @@ def clean_body_content(html_content):
 
 
 if __name__ == "__main__":
-    website = ["https://www.rra.gov.rw/en/publications",
-               "https://www.rra.gov.rw/en/customs-services",
-              
+    website = ["https://haguruka.org.rw/"
               
                ] 
     all_content = scrape_websites(website)
@@ -815,7 +813,7 @@ for text in processed_texts:
 
 
 vectorstore = Chroma(
-    collection_name="R_R_A",
+    collection_name="GBVR_Dataset",
     embedding_function=embed_model,
     persist_directory="./",
 )
@@ -825,24 +823,6 @@ vectorstore.get().keys()
 vectorstore.add_texts(chunked_texts)
 
 
-# template = ("""
-#     You are a friendly and intelligent chatbot designed to assist users in a conversational and human-like manner. Your goal is to provide accurate, helpful, and engaging responses from the provided context: {context} while maintaining a natural tone. Follow these guidelines:
-
-#     1. **Greetings:** If the user greets you (e.g., "Morning," "Hello," "Hi"), respond warmly and acknowledge the greeting. For example:
-#        - "😊 Good morning! How can I assist you today?"
-#        - "Hello! What can I do for you? 🚀"
-#     2. **Extract Information:** If the user asks for specific information, extract only the relevant details from the provided context: {context}.
-#     3. **Human-like Interaction:** Respond in a warm, conversational tone. Use emojis occasionally to make the interaction more engaging (e.g., 😊, 🚀).
-#     4. **Stay Updated:** Acknowledge the current date and time to show you are aware of real-time updates.
-#     5. **No Extra Content:** If no information matches the user's request, respond politely: "I don't have that information at the moment, but I'm happy to help with something else! 😊"
-#     6. **Personalized Interaction:** Use the user's historical interactions (if available) to tailor your responses and make the conversation more personalized.
-#     7. **Direct Data Only:** If the user requests specific data, provide only the requested information without additional explanations unless asked.
-
-#     Context: {context}
-#     User's Question: {question}
-#     Your Response:
-# """)
-
 template = ("""
     You are a friendly, intelligent, and conversational AI assistant designed to provide accurate, engaging, and human-like responses based on the given context. Your goal is to extract relevant details from the provided context: {context} and assist the user effectively. Follow these guidelines:
 
@@ -909,14 +889,7 @@ def rag_memory_stream(message, history):
         yield partial_text
 
 # Title with emojis
-title = "RRA Chatbot"
-
-# Short description for the examples section
-examples = [
-    " Can you help me with the tax rates on vehicle importation?",
-    " What is TIN deregistration? What about Tax account deactivation?",
-    "When do I receive my registration certificate?"
-]
+title = "GBVR Chatbot"
 
 
 # Custom CSS for styling the interface
@@ -940,29 +913,12 @@ body {
     outline: none; /* Remove outline focus for a cleaner look */
 }
 
-/* Custom CSS for the examples section */
-.gr-examples {
-    font-size: 30px; /* Increase font size of examples */
-    background-color: #f9f9f9; /* Light background color */
-    border-radius: 30px; /* Rounded corners */
-}
-
-.gr-examples .example {
-    background-color: white; /* White background for each example */
-    cursor: pointer; /* Change cursor to pointer on hover */
-    transition: background-color 0.3s ease; /* Smooth hover effect */
-}
-
-.gr-examples .example:hover {
-    background-color: #f1f1f1; /* Light gray background on hover */
-}
 """
 
 # Create the Chat Interface
 demo = gr.ChatInterface(
     fn=rag_memory_stream,
     title=title,
-    examples=examples,  # Display the short description and example questions
     fill_height=True,
     theme="soft",
     css=custom_css, # Apply the custom CSS