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| import streamlit as st | |
| import os | |
| st.title("Legal Advisor 📚") | |
| os.environ["OPENAI_API_KEY"] = st.secrets["OPENAI_API_KEY"] | |
| os.environ["PINECONE_API_KEY"] = st.secrets["PINECONE_API_KEY"] | |
| # Sidebar for selecting the chatbot | |
| selected_chatbot = st.sidebar.radio("Select Chatbot", ("OpenAI", "Llama 2")) | |
| if selected_chatbot == "OpenAI": | |
| from openai_call import openai_call | |
| elif selected_chatbot == "Llama 2": | |
| st.warning( | |
| "It might take some time to get response becuase of the size of Llama 2 model ⚠️" | |
| ) | |
| from llama_call import llama_call | |
| # Initialize chat history | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| st.info(""" | |
| **Legal Advisor Bot:** | |
| - **Objective:** Develop a conversational AI chatbot to provide legal advice and assistance. 🤖💼 | |
| - **Technology Stack:** Utilizes Streamlit for the user interface, integrates with external chatbot APIs (such as OpenAI and Llama 2) for natural language processing. 🖥️📡 | |
| - **Features:** | |
| - Allows users to select between different chatbot models for varied responses. 🔄 | |
| - Provides a chat history feature to track user interactions. 📝 | |
| - Displays loading spinner while fetching responses from the selected chatbot. ⏳ | |
| - Offers a user-friendly interface for asking legal questions. 💬 | |
| - **Emphasis:** Focuses on simplicity, efficiency, and accessibility in delivering legal information and support through conversational AI. 🎯 | |
| """) | |
| # Display chat messages from history on app rerun | |
| for message in st.session_state.messages: | |
| with st.chat_message(message["role"]): | |
| st.markdown(message["content"]) | |
| # React to user input | |
| if prompt := st.chat_input("Ask something about law"): | |
| # Display user message in chat message container | |
| st.chat_message("user").markdown(prompt) | |
| # Add user message to chat history | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| # Add a loading spinner while waiting for response | |
| with st.spinner("Thinking ✨..."): | |
| if selected_chatbot == "Llama 2": | |
| response = llama_call(prompt) | |
| elif selected_chatbot == "OpenAI": | |
| response = openai_call(prompt) | |
| # Display assistant response in chat message container | |
| with st.chat_message("assistant"): | |
| st.markdown(response) | |
| # Add assistant response to chat history | |
| st.session_state.messages.append({"role": "assistant", "content": response}) | |