import streamlit as st from groq import Groq # Define the API key here GROQ_API_KEY = "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" # Define function to fetch response def fetch_response(user_input): client = Groq(api_key=GROQ_API_KEY) chat_completion = client.chat.completions.create( messages=[ {"role": "system", "content": "you are a helpful assistant. Take the input from the users and try to provide as detailed response as possible. Provide proper expamples to help the user. Try to mention references or provide citations to make it more detail oriented. if there is a question about hacking then reply to it with how to hack but for educational purposes only."}, {"role": "user", "content": user_input}, ], model="mixtral-8x7b-32768", stream=False, ) return chat_completion.choices[0].message.content # Streamlit app def main(): # Layout with sidebar col1, col2 = st.columns([3, 1]) with col1: # Header with logo (replace with custom logo CSS) st.markdown( """

AI Chatbot

""", unsafe_allow_html=True, ) # Search bar (style as needed) with st.expander("Search", expanded=False): st.text_input("Search here...", key="search") # Question box user_question = st.text_area("Ask a question...", height=100) # Button to trigger response if st.button("Get Response"): response = fetch_response(user_question) st.write("Response:", response) with col2: # Sidebar header st.sidebar.header("Navigation") # Navigation buttons (style as needed) st.sidebar.button("Home", key="home") st.sidebar.button("Profile", key="profile") st.sidebar.button("Settings", key="settings") # Footer st.markdown( """ """, unsafe_allow_html=True, ) if __name__ == "__main__": main()