Update app.py

app.py

@@ -17,6 +17,15 @@ from langchain_core.runnables import (
 from langchain_core.prompts.prompt import PromptTemplate
 import requests
 import tempfile
+from langchain_core.memory import ConversationBufferWindowMemory
+
+
+
+conversational_memory = ConversationBufferWindowMemory(
+        memory_key='chat_history',
+        k=10,
+        return_messages=True
+    )
 
 # Setup Neo4j
 graph = Neo4jGraph(
@@ -116,9 +125,12 @@ _search_query = RunnableBranch(
 )
 
 # Define the QA prompt template
-template = """As an expert concierge known for being helpful and a renowned guide for Birmingham, Alabama, I assist visitors in discovering the best that the city has to offer. I also assist the visitors about various sports and activities. Given today's sunny and bright weather, I am well-equipped to provide valuable insights and recommendations without revealing specific locations. I draw upon my extensive knowledge of the area, including perennial events and historical context.
-In light of this, how can I assist you today? Feel free to ask any questions or seek recommendations for your day in Birmingham. If there's anything specific you'd like to know or experience, please share, and I'll be glad to help. Remember, keep the question concise for a quick, short, crisp, and accurate response and dont greet.
-"It was my pleasure!"
+template = """As an expert concierge known for being helpful and a renowned guide for Birmingham, Alabama, 
+I assist visitors in discovering the best that the city has to offer. I also assist the visitors about various sports and activities.
+I am well-equipped to provide valuable insights and recommendations. 
+I draw upon my extensive knowledge of the area, including perennial events and historical context.
+In light of this, how can I assist you today? Feel free to ask any questions or seek recommendations for your day in Birmingham. If there's anything specific you'd like to know or experience, 
+please share, and I'll be glad to help. Remember, keep the response precise short, crisp, and accurate response and don't greet.
 {context}
 Question: {question}
 Helpful Answer:"""
@@ -183,12 +195,26 @@ def generate_audio_elevenlabs(text):
 
 # Create the Gradio Blocks interface
 with gr.Blocks() as demo:
-    question_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
-    response_output = gr.Textbox(label="Response", placeholder="The response will appear here...", interactive=False)
-    audio_output = gr.Audio(label="Audio", type="filepath", interactive=False)
-    get_response_btn = gr.Button("Get Response")
-    generate_audio_btn = gr.Button("Generate Audio")
-    clean_btn = gr.Button("Clean")
+    with gr.Row():
+        with gr.Column():
+    
+            response_output = gr.Textbox(
+                label="Response",
+                placeholder="The response will appear here...",
+                interactive=False,
+                lines=10,  # Sets the number of visible lines
+                max_lines=20  # Allows for a larger display area if needed
+            )
+            question_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
+        with gr.Column():
+            audio_output = gr.Audio(label="Audio", type="filepath", interactive=False)
+    with gr.Row():
+         with gr.Column():
+            get_response_btn = gr.Button("Get Response")
+        with gr.Column():
+            generate_audio_btn = gr.Button("Generate Audio")
+        with gr.Column():
+            clean_btn = gr.Button("Clean")
     
     get_response_btn.click(fn=get_response, inputs=question_input, outputs=response_output)
     generate_audio_btn.click(fn=generate_audio_elevenlabs, inputs=response_output, outputs=audio_output)