#228 - mount local directory into Docker container.

README.md

@@ -83,11 +83,12 @@ All generated code will be stored in the folder `workspace` inside the folder na
 ## 🐳 How to start gpt-pilot in docker?
 1. `git clone https://github.com/Pythagora-io/gpt-pilot.git` (clone the repo)
 2. Update the `docker-compose.yml` environment variables, which can be done via `docker compose config` . if you use local model, please go to [https://localai.io/basics/getting_started/](https://localai.io/basics/getting_started/) start. 
-3. run `docker compose build`. this will build a gpt-pilot container for you.
-4. run `docker compose up`.
-5. access the web terminal on `port 7681`
-6. `python db_init.py` (initialize the database)
-7. `python main.py` (start GPT Pilot)
+3. By default, GPT Pilot will read & write to `~/gpt-pilot-workspace` on your machine, you can also edit this in `docker-compose.yml`
+4. run `docker compose build`. this will build a gpt-pilot container for you.
+5. run `docker compose up`.
+6. access the web terminal on `port 7681`
+7. `python db_init.py` (initialize the database)
+8. `python main.py` (start GPT Pilot)
 
 This will start two containers, one being a new image built by the `Dockerfile` and a Postgres database. The new image also has [ttyd](https://github.com/tsl0922/ttyd) installed so that you can easily interact with gpt-pilot. Node is also installed on the image and port 3000 is exposed.
 

docker-compose.yml

@@ -16,6 +16,8 @@ services:
             - DB_PORT=5432
             - DB_USER=pilot
             - DB_PASSWORD=pilot
+        volumes:
+            - ~/gpt-pilot-workspace:/usr/src/app/workspace
         build:
             context: .
             dockerfile: Dockerfile