Update app.py

app.py

@@ -23,9 +23,6 @@ from langchain_community.llms import HuggingFaceHub
 from langchain_core.documents import Document
 from sentence_transformers import SentenceTransformer
 from llama_parse import LlamaParse
-import asyncio
-import nest_asyncio
-from your_module import EnhancedContextDrivenChatbot, ask_question, update_vectors, clear_cache
 
 huggingface_token = os.environ.get("HUGGINGFACE_TOKEN")
 llama_cloud_api_key = os.environ.get("LLAMA_CLOUD_API_KEY")
@@ -462,7 +459,7 @@ with gr.Blocks() as demo:
         return "", history
     
     submit_button.click(chat, inputs=[question_input, chatbot, temperature_slider, top_p_slider, repetition_penalty_slider, web_search_checkbox], outputs=[question_input, chatbot])
-
+    
     clear_button = gr.Button("Clear Cache")
     clear_output = gr.Textbox(label="Cache Status")
     clear_button.click(clear_cache, inputs=[], outputs=clear_output)