Store docker, conda, semantic-search configuration in a config directory

- Improves organization of config files required for application
- Declutters the application root directory from configs

config/Dockerfile

@@ -8,7 +8,7 @@ RUN apt-get update -y && \
 # Add the local code to the /app directory and set it to be the working directory.
 # Since we mount the /app directory as a volume in docker-compose.yml, this
 # allows us to automatically update the code in the Docker image when it's changed.
-ADD . /app
+ADD .. /app
 WORKDIR /app
 
 # Get the arguments from the docker-compose environment.
@@ -16,7 +16,7 @@ ARG PORT
 EXPOSE ${PORT}
 
 # Create the conda environment.
-RUN conda env create -f environment.yml
+RUN conda env create -f config/environment.yml
 
 # Use the conda environment we created to run the application.
 # To enable the conda env, we cannot simply RUN `conda activate semantic-search`, 

docker-compose.yml

@@ -3,7 +3,7 @@ services:
   server:
     build:
       context: .
-      dockerfile: Dockerfile
+      dockerfile: config/Dockerfile
       args:
         - PORT=8000
     ports:
@@ -30,4 +30,4 @@ services:
       - ./tests/data/models/:/data/models/
 
     # Use 0.0.0.0 to explicitly set the host ip for the service on the container. https://pythonspeed.com/articles/docker-connection-refused/
-    command: --host="0.0.0.0" --port=8000 -c=sample_config.yml -vv
+    command: --host="0.0.0.0" --port=8000 -c=config/sample_config.yml -vv