Update app.py

app.py

@@ -1,32 +1,13 @@
-import streamlit as st 
+import streamlit as st
 import sqlite3
 import uuid
+import time
 from langchain_google_genai import GoogleGenerativeAI
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.output_parsers import StrOutputParser
 from langchain_community.chat_message_histories import SQLChatMessageHistory
 from langchain_core.runnables.history import RunnableWithMessageHistory
-import time
-
-# Set page config
-st.set_page_config(page_title="Gemini Code Reviewer", layout="wide")
-
-# Animated text function
-def animated_text(text, speed=0.05):
-    placeholder = st.empty()
-    displayed_text = ""
-    for letter in text:
-        displayed_text += letter
-        placeholder.markdown(f"""
-            <h1 style="text-align:center; color: #00D1FF;">{displayed_text} 🚀</h1>
-        """, unsafe_allow_html=True)  # Corrected f-string formatting
-        time.sleep(speed)
-
-# Display animated text
-animated_text("Conversational AI Data Science Tutor", speed=0.1)
 
-# Streamlit Ui
-st.write("Ask me anything about Data Science!")
 # Load API key
 GOOGLE_API_KEY = st.secrets.get("GOOGLE_API_KEY")
 
@@ -67,12 +48,49 @@ def chat_history(session_id):
 if "session_id" not in st.session_state:
     st.session_state.session_id = str(uuid.uuid4())
 
+# Custom CSS for UI enhancements
+st.markdown("""
+    <style>
+        /* Style for the title animation */
+        .title-text {
+            text-align: center;
+            font-size: 30px;
+            font-weight: bold;
+            color: #FF4500;
+            margin-bottom: 20px;
+        }
+
+        /* Keep input field fixed at the bottom */
+        .stTextInput {
+            position: fixed;
+            bottom: 10px;
+            width: 80%;
+            left: 10%;
+            z-index: 999;
+        }
+    </style>
+""", unsafe_allow_html=True)
+
+# 🔹 **Animated Title Function**
+def animated_text(text, speed=0.05):
+    placeholder = st.empty()
+    displayed_text = ""
+
+    for letter in text:
+        displayed_text += letter
+        placeholder.markdown(f"<h1 class='title-text'>{displayed_text} 🚀</h1>", unsafe_allow_html=True)
+        time.sleep(speed)
+
+# 🔹 **Display Animated Welcome Message**
+animated_text("Welcome to Gemini Data Science Tutor!")
+
 # "New Chat" button
 if st.button("🆕 New Chat"):
     st.session_state.session_id = str(uuid.uuid4())  # Generate new session ID
     st.session_state.messages = []  # Clear chat history
     st.rerun()  # Refresh the app
 
+# Get session ID
 session_id = st.session_state.session_id
 chat_history_instance = chat_history(session_id)
 
@@ -102,46 +120,42 @@ chat = RunnableWithMessageHistory(
     history_messages_key="history"
 )
 
-
-# 🔹 Chat history container
+# 🔹 **Chat History Container**
 chat_container = st.container()
 
-
-# Load chat history and keep it sticky
+# Load chat history and display it
 if "messages" not in st.session_state:
     st.session_state.messages = load_chat_history(session_id)
 
-
-# Display chat messages in order
 with chat_container:
     for role, content in st.session_state.messages:
         with st.chat_message(role):
             st.markdown(content)
-# Display chat history
 
+# 🔹 **Fixed Bottom User Input**
+user_input = st.text_input("Type your message here:", key="user_message")
 
-with input_container:
-    # User input at the bottom
-    user_input = st.text_input("Type your message here:", key="user_message")
-
+# If user submits a message
 if user_input:
     # Save user message
     save_message(session_id, "user", user_input)
     st.session_state.messages.append(("user", user_input))
-    
+
     # Invoke AI model
     config = {'configurable': {'session_id': session_id}}
     response = chat.invoke({'prompt': user_input}, config)
-    
+
     # Save AI response
     save_message(session_id, "assistant", response)
     st.session_state.messages.append(("assistant", response))
-    
+
     # Display AI response
-    with st.chat_message("assistant"):
-        st.markdown(response)
+    with chat_container:
+        with st.chat_message("assistant"):
+            st.markdown(response)
 
-    # ✅ Clear input field
+    # ✅ Clear the input field after message submission
     st.session_state.pop("user_message")
-    st.session_state["user_message"] = ""  
+     st.session_state["user_message"] = ""
     st.rerun()  # Refresh the app
+