update readme, further road to V2

README.md

@@ -1,4 +1,4 @@
-# DataChad 🤖
+# DataChad V2🤖
 
 This is an app that let's you ask questions about any data source by leveraging [embeddings](https://platform.openai.com/docs/guides/embeddings), [vector databases](https://www.activeloop.ai/), [large language models](https://platform.openai.com/docs/models/gpt-3-5) and last but not least [langchains](https://github.com/hwchase17/langchain)
 
@@ -17,15 +17,13 @@ This is an app that let's you ask questions about any data source by leveraging
 - As default context this git repository is taken so you can directly start asking question about its functionality without chosing an own data source.
 - To run locally or deploy somewhere, execute `cp .env.template .env` and set credentials in the newly created `.env` file. Other options are manually setting of system environment variables, or storing them into `.streamlit/secrets.toml` when hosted via streamlit.
 - If you have credentials set like explained above, you can just hit `submit` in the authentication without reentering your credentials in the app.
-- To enable `Local Mode` (disabled for the demo) set `ENABLE_LOCAL_MODE` to `True` in `datachad/constants.py`. You need to have the model binaries downloaded and stored inside `./models/`
-- Currently supported `Local Mode` OSS model is [GPT4all](https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin). To add more models update `datachad/models.py`
-- If you are running `Local Mode` all your data stays locally on your machine. No API calls are made. Same with the embeddings database which stores its data to `./data/`
 - Your data won't load? Feel free to open an Issue or PR and contribute!
 - Yes, Chad in `DataChad` refers to the well-known [meme](https://www.google.com/search?q=chad+meme)
+- DataChad V2 does not support local mode, but many feature will soon come. Stay tuned!
 
 ## How does it look like?
 
-<img src="./datachad.png" width="100%"/>
+<img src="./datachadV2.png" width="100%"/>
 
 ## TODO LIST
 If you like to contribute, feel free to grab any task
@@ -34,13 +32,17 @@ If you like to contribute, feel free to grab any task
 - [x] Enable fully local / private mode
 - [x] Add option to upload multiple files to a single dataset
 - [x] Decouple datachad modules from streamlit
-- [ ] remove all local mode and other V1 stuff
+- [x] remove all local mode and other V1 stuff
+- [x] Load existing knowledge bases
+- [x] Delete existing knowledge bases
+- [x] Enable streaming responses
+- [x] Show retrieved context
+- [ ] Refactor UI
+- [ ] Introduce smart FAQs
 - [ ] Exchange downloaded file storage with tempfile
 - [ ] Add user creation and login
-- [ ] Load and delete existing knowledge bases
+- [ ] Add chat history per user
 - [ ] Make all I/O asynchronous
 - [ ] Implement FastAPI routes and backend app
 - [ ] Implement a proper frontend (react or whatever)
 - [ ] containerize the app
-- [ ] deploy the app with k8s
-- [ ] Add Image caption and Audio transcription support

datachad/streamlit/constants.py

@@ -1,5 +1,5 @@
 PAGE_ICON = "🤖"
-APP_NAME = "DataChad"
+APP_NAME = "DataChad V2"
 PROJECT_URL = "https://github.com/gustavz/DataChad"
 DEFAULT_DATA_SOURCE = "https://github.com/gustavz/DataChad.git"