Update app.py

app.py

@@ -1,61 +1,61 @@
-from dotenv import load_dotenv
-import streamlit as st
-import os
-import google.generativeai as genai
-
-# Load environment variables from .env file
-load_dotenv()
-
-# Configure Gemini Pro model
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-model = genai.GenerativeModel("gemini-1.5-pro")
-
-# Initialize Streamlit app
-st.set_page_config(page_title="Gemmy")
-
-# Custom header with centered text
-header_html = """
-    <style>
-        .header {
-            text-align: center;
-            font-family: Arial, sans-serif;
-            font-size: 2em;
-            color: #F8F9F9;
-            margin-top: 50px;
-            margin-bottom: 20px;
-        }
-    </style>
-    <div class="header">
-        Gemmy
-    </div>
-"""
-st.markdown(header_html, unsafe_allow_html=True)
-
-# Initialize session state for chat history
-if "chat_history" not in st.session_state:
-    st.session_state.chat_history = []
-if 'chat_session' not in st.session_state:
-    st.session_state['chat_session'] = model.start_chat(history=[])
-
-# Function to get response from Gemini model
-def get_gemini_response():
-    question = st.session_state.input
-    chat = st.session_state['chat_session']
-    response = chat.send_message(question, stream=True)
-    response_text = "".join(chunk.text for chunk in response)
-    
-    # Save question and response to chat history
-    st.session_state.chat_history.append({"question": question, "response": response_text})
-    
-    # Clear the input box after submission
-    st.session_state.input = ""
-
-# Display chat history
-for entry in st.session_state.chat_history:
-    st.write(f"***You :*** {entry['question']}")
-    st.write(f"***Gemmy :*** {entry['response']}")
-    st.markdown("<hr>", unsafe_allow_html=True)  # Add a line below each response
-
-
-# Input box 
-st.text_input(" ", key="input", on_change=get_gemini_response, placeholder="Ask Gemmy")
+from dotenv import load_dotenv
+import streamlit as st
+import os
+import google.generativeai as genai
+
+# Load environment variables 
+load_dotenv()
+
+# Configure Gemini Pro model
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+model = genai.GenerativeModel("gemini-1.5-pro")
+
+# Initialize Streamlit app
+st.set_page_config(page_title="Gemmy")
+
+# Custom header with centered text
+header_html = """
+    <style>
+        .header {
+            text-align: center;
+            font-family: Arial, sans-serif;
+            font-size: 2em;
+            color: #F8F9F9;
+            margin-top: 50px;
+            margin-bottom: 20px;
+        }
+    </style>
+    <div class="header">
+        Gemmy
+    </div>
+"""
+st.markdown(header_html, unsafe_allow_html=True)
+
+# Initialize session state for chat history
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+if 'chat_session' not in st.session_state:
+    st.session_state['chat_session'] = model.start_chat(history=[])
+
+# Function to get response from Gemini model
+def get_gemini_response():
+    question = st.session_state.input
+    chat = st.session_state['chat_session']
+    response = chat.send_message(question, stream=True)
+    response_text = "".join(chunk.text for chunk in response)
+    
+    # Save question and response to chat history
+    st.session_state.chat_history.append({"question": question, "response": response_text})
+    
+    # Clear the input box after submission
+    st.session_state.input = ""
+
+# Display chat history
+for entry in st.session_state.chat_history:
+    st.write(f"***You :*** {entry['question']}")
+    st.write(f"***Gemmy :*** {entry['response']}")
+    st.markdown("<hr>", unsafe_allow_html=True)  # Add a line below each response
+
+
+# Input box 
+st.text_input(" ", key="input", on_change=get_gemini_response, placeholder="Ask Gemmy")