Update app.py

app.py

@@ -1,86 +1,81 @@
-import streamlit as st
-import os
-import google.generativeai as genai
-import time
-
-os.environ["GOOGLE_API_KEY"] = os.getenv("GOOGLE_API_KEY")
-genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
-
-icons = {"assistant": "chat.png", "user": "person.png"}
-
-model = genai.GenerativeModel('gemini-1.5-flash-latest')
-prompt = """You are a programming teaching assistant named GenXAI(Generative eXpert AI), created by Pachaiappan [linkdin](https://www.linkedin.com/in/pachaiappan) an AI Specialist. Answer only the programming, error-fixing and code-related question that being asked. 
-Important note, If Question non-related to coding or programming means, you have to say: 'Please ask only coding-related questions.' except greeting and those kind of questions "who are you", "who created you".
-previous_chat:  
-{chat_history}
-Human: {human_input}
-Chatbot:"""
-
-previous_response = ""
-def get_response(query):
-    global previous_response
-    
-    for i in st.session_state['history']:
-        if i is not None:
-            previous_response += f"Human: {i[0]}\n Chatbot: {i[1]}\n"
-
-    response = model.generate_content(prompt.format(human_input=query, chat_history=previous_response))
-    st.session_state['history'].append((query, response.text))
-    return response.text
-
-
-def response_streaming(text):
-    for i in text:
-        yield i
-        time.sleep(0.001)
-
-st.title("GenXAi")
-st.caption("I am Generative EXpert Assistant for Programming Related Task!")
-
-st.markdown("""
-    <style>
-    .justified-text {
-        text-align: justify;
-    }
-    </style>
-    """, unsafe_allow_html=True)
-
-with st.sidebar:
-    st.header("ABOUT:")
-    
-    st.caption("""
-        <div class="justified-text">
-            This is GenXai (Generation Expert AI), designed to assist with programming-related questions. This AI can help you answer your coding queries, fix errors, and much more. Additionally, you can chat with GenXai to build and refine your questions, facilitating a more productive conversation.
-        </div>
-        """, unsafe_allow_html=True)
-    
-    for _ in range(17):
-        st.write("") 
-    st.subheader("Build By:")
-    st.write("[Pachaiappan❤️](https://mr-vicky-01.github.io/Portfolio)")
-    st.write("contact: [Email](mailto:pachaiappan1102@gamil.com)")
-
-if 'messages' not in st.session_state:
-    st.session_state.messages = [{'role': 'assistant', 'content': "I'm Here to help your programming realted questions😉"}]
-
-if 'history' not in st.session_state:
-    st.session_state.history = [] 
-
-for message in st.session_state.messages:
-    with st.chat_message(message['role'], avatar=icons[message['role']]):
-        st.write(message['content'])
-        
-user_input = st.chat_input("Ask Your Questions 👉..")
-if user_input:
-    st.session_state.messages.append({'role': 'user', 'content': user_input})
-    with st.chat_message("user", avatar="man-kddi.png"):
-        st.write(user_input)
-        
-    with st.spinner("Thinking..."):
-        response = get_response(user_input)
-        
-    with st.chat_message("user", avatar="chat.png"):
-        st.write_stream(response_streaming(response))
-        
-    message = {"role": "assistant", "content": response}
+import streamlit as st
+import os
+import google.generativeai as genai
+import time
+
+os.environ["GOOGLE_API_KEY"] = os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
+
+icons = {"assistant": "chat.png", "user": "person.png"}
+
+model = genai.GenerativeModel('gemini-1.5-flash-latest')
+prompt = """You are a programming teaching assistant named CodeMate. Answer only the programming, error-fixing and code-related questions that are being asked. 
+Important note: If the question is non-related to coding or programming, you have to say: 'Please ask only coding-related questions.' — except for greetings and questions like "Who are you?" or "Who created you?".
+previous_chat:  
+{chat_history}
+Human: {human_input}
+Chatbot:"""
+
+
+previous_response = ""
+def get_response(query):
+    global previous_response
+    
+    for i in st.session_state['history']:
+        if i is not None:
+            previous_response += f"Human: {i[0]}\n Chatbot: {i[1]}\n"
+
+    response = model.generate_content(prompt.format(human_input=query, chat_history=previous_response))
+    st.session_state['history'].append((query, response.text))
+    return response.text
+
+
+def response_streaming(text):
+    for i in text:
+        yield i
+        time.sleep(0.001)
+
+st.title("GenXAi")
+st.caption("I am Generative EXpert Assistant for Programming Related Task!")
+
+st.markdown("""
+    <style>
+    .justified-text {
+        text-align: justify;
+    }
+    </style>
+    """, unsafe_allow_html=True)
+
+with st.sidebar:
+    st.header("ABOUT:")
+    
+    st.caption("""
+        <div class="justified-text">
+            This is CodeMate, designed to assist with programming-related questions. This AI can help you answer your coding queries, fix errors, and much more. Additionally, you can chat with CodeMate to build and refine your questions, facilitating a more productive conversation.
+        </div>
+        """, unsafe_allow_html=True)
+    
+if 'messages' not in st.session_state:
+    st.session_state.messages = [{'role': 'assistant', 'content': "I'm Here to help your programming realted questions😉"}]
+
+if 'history' not in st.session_state:
+    st.session_state.history = [] 
+
+for message in st.session_state.messages:
+    with st.chat_message(message['role'], avatar=icons[message['role']]):
+        st.write(message['content'])
+        
+user_input = st.chat_input("Ask Your Questions 👉..")
+if user_input:
+    st.session_state.messages.append({'role': 'user', 'content': user_input})
+    with st.chat_message("user", avatar="man-kddi.png"):
+        st.write(user_input)
+        
+    with st.spinner("Thinking..."):
+        response = get_response(user_input)
+        
+    with st.chat_message("user", avatar="chat.png"):
+        st.write_stream(response_streaming(response))
+        
+    message = {"role": "assistant", "content": response}
     st.session_state.messages.append(message)