import streamlit as st from groq import Groq # Define the API key here GROQ_API_KEY = "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" # Initialize session state for chat history if "chat_history" not in st.session_state: st.session_state.chat_history = [ {"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 examples to help the user. Try to mention references or provide citations to make it more detail-oriented."} ] # Define function to fetch response def fetch_response(user_input): client = Groq(api_key=GROQ_API_KEY) st.session_state.chat_history.append({"role": "user", "content": user_input}) chat_completion = client.chat.completions.create( messages=st.session_state.chat_history, model="mixtral-8x7b-32768", stream=False ) response = chat_completion.choices[0].message.content st.session_state.chat_history.append({"role": "assistant", "content": response}) return response # Streamlit app st.set_page_config(page_title="Fastest AI Chatbot", page_icon="🤖", layout="wide") st.markdown( """ """, unsafe_allow_html=True ) st.title("Fastest AI Chatbot") st.write("Ask a question and get a response.") # Display chat history for chat in st.session_state.chat_history: if chat["role"] == "user": st.markdown(f"**You:** {chat['content']}") elif chat["role"] == "assistant": st.markdown(f"**AI:** {chat['content']}") # Text input for user's question user_input = st.text_input("Enter your question here:") # Button to trigger response if st.button("Get Response"): # Fetch and display response response = fetch_response(user_input) st.write("Response:", response) # Footer st.markdown( """ """, unsafe_allow_html=True )