move frontend to root for deployment

README.md

@@ -7,5 +7,22 @@ It is freely available. Go ahead and give it a try: https://t.me/PardonMyEnglish
 Pardon My English is designed to assist non-native English speakers by transforming semantically incorrect or awkwardly phrased English text into grammatically accurate and fluent English. Users simply input their original text, and the bot efficiently processes and returns a polished version, enhancing clarity and coherence. Ideal for learners of English, professionals, and anyone looking to improve their written communication.
 
 # Changelog
-- \[2024-05-25\] We've added an alternative frontend. Instead of using Telegram, you can now run the app locally by using `streamlit run frontend/app.py` command, and interact with Pardon My English in the same way as before.
+
+- \[2024-05-25\] We've added an alternative frontend. Instead of using Telegram, you can now run the app locally by using `streamlit run frontend.py` command, and interact with Pardon My English in the same way as before.
 - \[2024-04-24\] We've transitioned to using Llama3-70B for all existing and new users, and have seen significant improvements in quality without any degradation in inference speed, thanks to the capabilities of [Groq](https://groq.com/).
+
+# Web UI
+
+If you want to run the app locally, start by creating the `secrets.toml` file:
+
+```shell
+touch ~/.streamlit/secrets.toml
+```
+
+You'll need to obtain a Groq API key, which you'll then provide in the "secrets.toml" file as a `GROQ_API_KEY`.
+
+After specifying the API key in the secrets file, you can proceed to run the web UI locally:
+
+```shell
+streamlit run frontend.py
+```

frontend/app.py → frontend.py

@@ -1,10 +1,8 @@
 import os
-import sys
 import time
 
 import streamlit as st
 
-sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 from common.llm_client import LLMClient, Model, Provider
 
 # Set environment variables from secrets.