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Runtime error
| import streamlit as st | |
| import codecs | |
| import streamlit.components.v1 as stc | |
| import pathlib | |
| def stc_chatbot(root_dir, width=700, height=600): | |
| html_file = root_dir/"app/chatbot.html" | |
| css_file = root_dir/"app/css/chatbot.css" | |
| js_file = root_dir/"app/js/chatbot.js" | |
| if css_file.exists() and js_file.exists(): | |
| html = codecs.open(html_file, "r").read() | |
| css = codecs.open(css_file, "r").read() | |
| js = codecs.open(js_file, "r").read() | |
| html = html.replace('<link rel="stylesheet" href="css/chatbot.css">', "<style>\n" + css + "\n</style>") | |
| html = html.replace('<script src="js/chatbot.js"></script>', "<script>\n" + js + "\n</script>") | |
| stc.html(html, width=width, height=height, scrolling=False) | |
| st.header("English and Indonesian Persona Chatbot") | |
| description = f"This application uses the Indonesian GPT2 model; we finetuned it with the original English persona " \ | |
| f"dataset and its Indonesian translation. It gives the chatbot the capability to understand and talk " \ | |
| f"in both languages (code-switching). The finetuning is based on the Huggingface's Conversational AI " \ | |
| f"with Transfer Learning." | |
| st.markdown(description) | |
| root_dir = pathlib.Path(".") | |
| stc_chatbot(root_dir) | |