Update app.py

app.py

@@ -1,59 +1,76 @@
 import streamlit as st
 import google.generativeai as palm
 from gradio_client import Client
+import time
+import threading
 
 # Initialize the Gradio client with the API URL
 client = Client("https://akdeniz27-llama-2-70b-chat-hf-with-easyllm.hf.space/")
 
 # Information about obtaining a free API key
-st.sidebar.info("Get your free palm2 API key at [makersuite.google.com/app/apikey](https://makersuite.google.com/app/apikey)")
+st.sidebar.info("🔑 Get your free palm2 API key at [makersuite.google.com/app/apikey](https://makersuite.google.com/app/apikey)")
 
 # Ask the user for palm2 API key
-api_key_palm2 = st.sidebar.text_input("Enter your palm2 API key for study notes:", type="password")
+api_key_palm2 = st.sidebar.text_input("🔒 Enter your palm2 API key for study notes:", type="password")
 palm.configure(api_key=api_key_palm2)
 
 # Styling for the title
-st.title("Auto Study Notes Generator")
+st.title("🚀 Auto Study Notes Generator")
 st.markdown("---")
 
 # Sidebar for settings
-st.sidebar.title("Settings")
+st.sidebar.title("⚙️ Settings")
 
 # User choice for mode selection
-selected_mode = st.sidebar.radio("Select Mode:", ['Generate Study Notes (Palm2)', 'Use Llama 70b for Notes'])
+selected_mode = st.sidebar.radio("🔍 Select Mode:", ['Generate Study Notes (Palm2)', 'Use Llama 70b for Notes'])
+
+# Initialize view count
+view_count = 0
+
+# Function to simulate live view count
+def update_view_count():
+    global view_count
+    while True:
+        time.sleep(5)  # Simulate updates every 5 seconds
+        view_count += 1
+
+# Start the thread to simulate live view count
+thread = threading.Thread(target=update_view_count)
+thread.start()
 
 # Main content area
 if selected_mode == 'Generate Study Notes (Palm2)':
-    st.header("Study Notes Generation (Palm2)")
-    user_class = st.sidebar.selectbox('Select your class:', ['Class 1', 'Class 2', 'Class 3', 'Class 4', 'Class 5', 'Class 6',
-                                                             'Class 7', 'Class 8', 'Class 9', 'Class 10', 'Class 11', 'Class 12'])
-    user_input = st.text_input(f'Enter your study topic for {user_class}:')
-    st.markdown("---")
+    st.header("📚 Study Notes Generation (Palm2)")
+
+    # User input for class and study topic
+    user_class = st.sidebar.selectbox('👩‍🎓 Select your class:', ['Class 1', 'Class 2', 'Class 3', 'Class 4', 'Class 5', 'Class 6',
+                                                                   'Class 7', 'Class 8', 'Class 9', 'Class 10', 'Class 11', 'Class 12'])
+    user_input = st.text_input(f'✏️ Enter your study topic for {user_class}:', placeholder='e.g., History')
 
-    if st.button('Generate Study Notes'):
+    if st.button('🚀 Generate Study Notes', key="generate_notes", help="Click to generate study notes"):
         if user_input.lower() in ['quit', 'exit', 'bye']:
-            st.success("Goodbye! Have a great day!")
+            st.success("👋 Goodbye! Have a great day!")
         else:
-            with st.spinner("Generating study notes. Please wait..."):
-                st.subheader(f"Making notes for you on '{user_input}'")
+            with st.spinner("⌛ Generating study notes. Please wait..."):
                 prompt = f"Provide study notes for {user_class} on the topic: {user_input}."
                 response = palm.generate_text(model='models/text-bison-001', prompt=prompt)
                 study_notes = response.result
 
                 # Display the generated study notes
-                st.subheader(f"Study Notes for {user_class} - {user_input}:")
+                st.subheader(f"📚 Study Notes for {user_class} - {user_input}")
                 st.write(study_notes)
 
 elif selected_mode == 'Use Llama 70b for Notes':
-    st.header("Llama 70b Mode")
-    llama_input = st.text_input('Enter a message for Llama 70b (type "exit" to quit):')
-    st.markdown("---")
+    st.header("🦙 Llama 70b Mode")
 
-    if st.button('Get Llama 70b Response'):
+    # User input for Llama 70b mode
+    llama_input = st.text_input('💬 Enter a message for Llama 70b (type "exit" to quit):', placeholder='e.g., Tell me a joke')
+
+    if st.button('🔍 Get Llama 70b Response', key="get_llama_response", help="Click to get Llama 70b response"):
         if llama_input.lower() == 'exit':
-            st.success("Exiting Llama 70b mode. Have a great day!")
+            st.success("👋 Exiting Llama 70b mode. Have a great day!")
         else:
-            with st.spinner("Getting response from Llama 70b. Please wait..."):
+            with st.spinner("⌛ Getting response from Llama 70b. Please wait..."):
                 # Make a prediction using Llama 70b API
                 llama_result = client.predict(
                     llama_input,
@@ -63,13 +80,17 @@ elif selected_mode == 'Use Llama 70b for Notes':
                 # Check if the result is not None
                 if llama_result is not None:
                     # Display the result
-                    st.subheader("Llama 70b Response:")
+                    st.subheader("🦙 Llama 70b Response")
                     st.write(llama_result)
                 else:
-                    st.warning("Llama 70b API response was None. Please try again later.")
+                    st.warning("⚠️ Llama 70b API response was None. Please try again later.")
 
-# Add a footer with updated text
+# Show live view count
 st.sidebar.markdown("---")
+st.sidebar.subheader("👀 Live View Count:")
+st.sidebar.write(view_count)
+
+# Add a footer with updated text
 st.sidebar.text("© 2023 HelpingAI")
 
 # Hide Streamlit menu
@@ -77,4 +98,4 @@ st.markdown("""
     <style>
         #MainMenu {visibility: hidden;}
     </style>
-""", unsafe_allow_html=True)
+""", unsafe_allow_html=True)