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| import streamlit as st | |
| from utils import generate_text_embeddings | |
| st.title("Echo Bot") | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| with st.sidebar : | |
| st.markdown("# Inference Analytics") | |
| st.markdown("---") | |
| st.markdown("Tokens used :") | |
| st.markdown("Average Querying Time :") | |
| st.markdown("Average Inference Time :") | |
| st.markdown("Cost Incurred :") | |
| for message in st.session_state.messages: | |
| with st.chat_message(message["role"]): | |
| st.markdown(message["content"]) | |
| if prompt := st.chat_input("What is up?"): | |
| query_embeddings = generate_text_embeddings(prompt) | |
| st.chat_message("user").markdown(prompt) | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| response = f"Echo: {prompt}" | |
| with st.chat_message("assistant"): | |
| st.markdown(response) | |
| st.session_state.messages.append({"role": "assistant", "content": response}) |