Update app.py

app.py

@@ -1,69 +1,69 @@
-import os
-import streamlit as st
-import google.generativeai as gen_ai
-import pyttsx3
-import threading
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Configure Streamlit page settings
-st.set_page_config(
-    page_title="Gemini-Pro ChatBot",
-    page_icon="🤖",  # Favicon emoji
-    layout="centered",  # Page layout option
-)
-
-# Retrieve Google API Key
-Google_API_Key = os.getenv("Google_API_Key")
-
-# Set up Google Gemini-Pro AI Model
-gen_ai.configure(api_key=Google_API_Key)
-model = gen_ai.GenerativeModel('gemini-pro')
-
-# Function to translate roles between Gemini-Pro and Streamlit terminology
-def translate_role_for_streamlit(user_role):
-    return "assistant" if user_role == "model" else user_role
-
-# Function to handle text-to-speech (TTS) in a separate thread
-def speak_text(text):
-    engine = pyttsx3.init()
-    engine.say(text)
-    engine.runAndWait()
-
-# Initialize chat session in Streamlit if not already present
-if "chat_session" not in st.session_state:
-    st.session_state.chat_session = model.start_chat(history=[])
-
-# Display chatbot title and description
-st.markdown("<h1 style='text-align: center; color: #4A90E2;'>🤖 Gemini-Pro ChatBot</h1>", unsafe_allow_html=True)
-st.markdown("<p style='text-align: center; font-size: 16px;'>Ask me anything! I'm powered by Gemini-Pro AI.</p>", unsafe_allow_html=True)
-
-# Display chat history
-for message in st.session_state.chat_session.history:
-    with st.chat_message(translate_role_for_streamlit(message.role)):
-        st.markdown(message.parts[0].text)
-
-# User input field
-user_prompt = st.chat_input("Ask Gemini Pro...")
-
-# If user enters a prompt
-if user_prompt:
-    # Display user's message
-    st.chat_message("user").markdown(user_prompt)
-
-    # Show a loading indicator while waiting for a response
-    with st.spinner("Thinking..."):
-        gemini_response = st.session_state.chat_session.send_message(user_prompt)
-
-    # Display Gemini-Pro's response
-    with st.chat_message("assistant"):
-        st.markdown(gemini_response.text)
-
-    # Run text-to-speech in the background
-    threading.Thread(target=speak_text, args=(gemini_response.text,), daemon=True).start()
-
-
-
-
+import os
+import streamlit as st
+import google.generativeai as gen_ai
+import pyttsx3
+import threading
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Configure Streamlit page settings
+st.set_page_config(
+    page_title="Gemini-Pro ChatBot",
+    page_icon="🤖",  # Favicon emoji
+    layout="centered",  # Page layout option
+)
+
+# Retrieve Google API Key
+Google_API_Key = os.getenv("Google_API_Key")
+
+# Set up Google Gemini-Pro AI Model
+gen_ai.configure(api_key=Google_API_Key)
+model = gen_ai.GenerativeModel('gemini-2.0-flash')
+
+# Function to translate roles between Gemini-Pro and Streamlit terminology
+def translate_role_for_streamlit(user_role):
+    return "assistant" if user_role == "model" else user_role
+
+# Function to handle text-to-speech (TTS) in a separate thread
+def speak_text(text):
+    engine = pyttsx3.init()
+    engine.say(text)
+    engine.runAndWait()
+
+# Initialize chat session in Streamlit if not already present
+if "chat_session" not in st.session_state:
+    st.session_state.chat_session = model.start_chat(history=[])
+
+# Display chatbot title and description
+st.markdown("<h1 style='text-align: center; color: #4A90E2;'>🤖 Gemini-Pro ChatBot</h1>", unsafe_allow_html=True)
+st.markdown("<p style='text-align: center; font-size: 16px;'>Ask me anything! I'm powered by Gemini-Pro AI.</p>", unsafe_allow_html=True)
+
+# Display chat history
+for message in st.session_state.chat_session.history:
+    with st.chat_message(translate_role_for_streamlit(message.role)):
+        st.markdown(message.parts[0].text)
+
+# User input field
+user_prompt = st.chat_input("Ask Gemini Pro...")
+
+# If user enters a prompt
+if user_prompt:
+    # Display user's message
+    st.chat_message("user").markdown(user_prompt)
+
+    # Show a loading indicator while waiting for a response
+    with st.spinner("Thinking..."):
+        gemini_response = st.session_state.chat_session.send_message(user_prompt)
+
+    # Display Gemini-Pro's response
+    with st.chat_message("assistant"):
+        st.markdown(gemini_response.text)
+
+    # Run text-to-speech in the background
+    threading.Thread(target=speak_text, args=(gemini_response.text,), daemon=True).start()
+
+
+
+