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| import streamlit as st | |
| from gradio_client import Client | |
| #connecting to the URL | |
| client = Client("https://3c6d10d84bae52d4c7.gradio.live/") | |
| st.title('Digital Ink') | |
| # Initialize chat history | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| # Display chat messages from history | |
| for message in st.session_state.messages: | |
| with st.chat_message(message["role"]): | |
| st.markdown(message["content"]) | |
| # Function for generating responses | |
| def generate_response(message): | |
| st.session_state.messages.append({"role": "user", "content": message}) | |
| response = client.predict(message=message,api_name="/predict") | |
| st.session_state.messages.append({"role": "assistant", "content": response}) | |
| return response | |
| # User input with placeholder | |
| if prompt := st.chat_input("Create with Digital Ink.."): | |
| # Display user message in chat message container | |
| with st.chat_message("user"): | |
| st.markdown(prompt) | |
| # Generate and display assistant response in chat message container | |
| with st.chat_message("assistant"): | |
| response = generate_response(prompt) | |
| st.markdown(response) |