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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) |