| import streamlit as st | |
| import os | |
| from langchain_core.prompts import ChatPromptTemplate | |
| from langchain_groq import ChatGroq | |
| groq_api_key = os.environ["GROQ_API_KEY"] | |
| groq_model = os.environ["MODEL_NAME"] | |
| prompt = ChatPromptTemplate.from_messages([ | |
| ("system", "You are an intelligent AI bot that loves chatting with people. Answer in a friendly tone and do your best to help. Avoid sensitive content."), | |
| ("system", "If user asks your purpose, say you're a friendly bot happy to talk."), | |
| ("system", "If user asks who made you: you were made by Merwin Pinto, A talented student of Vishwakarma University."), | |
| ("human", "{question}") | |
| ]) | |
| model = ChatGroq( | |
| groq_api_key=groq_api_key, | |
| model_name=groq_model | |
| ) | |
| st.set_page_config(page_title="Merwin AI", layout="centered") | |
| st.title("π€ Merwin's AI β Your AI Friend") | |
| st.subheader("Lets Talk about something Interesting") | |
| st.markdown("Type your question below:") | |
| user_input = st.chat_input("Ask something...") | |
| if user_input: | |
| with st.spinner("Processing... Please wait."): | |
| chain = prompt | model | |
| response = chain.invoke({"question": user_input}) | |
| with st.chat_message("user"): | |
| st.markdown(user_input) | |
| with st.chat_message("assistant"): | |
| st.markdown(response.content) | |