Fly.io example: remove step to cache silero models.

No longer necessary.

examples/deployment/flyio-example/Dockerfile

@@ -9,8 +9,5 @@ COPY *.py .
 COPY ./requirements.txt requirements.txt
 RUN pip3 install --no-cache-dir --upgrade -r requirements.txt
 
-# Install models
-RUN python3 install_deps.py
-
 # Start the FastAPI server
 CMD python3 bot_runner.py --port ${FAST_API_PORT}

examples/deployment/flyio-example/README.md

@@ -2,8 +2,6 @@
 
 This project modifies the `bot_runner.py` server to launch a new machine for each user session. This is a recommended approach for production vs. running shell processess as your deployment will quickly run out of system resources under load.
 
-To speed up machine boot times, we also download and cache Silero VAD as part of the Dockerfile (`install_deps.py`). If you are using other custom models, you can add them here too.
-
 For this example, we are using Daily as a WebRTC transport and provisioning a new room and token for each session. You can use another transport, such as WebSockets, by modifying the `bot.py` and `bot_runner.py` files accordingly.
 
 ## Setting up your fly.io deployment
@@ -14,7 +12,7 @@ You can copy the `example-fly.toml` as a reference. Be sure to change the app na
 
 ### Create your .env file
 
-Copy the base `env.example` to `.env` and enter the necessary API keys. 
+Copy the base `env.example` to `.env` and enter the necessary API keys.
 
 `FLY_APP_NAME` should match that in the `fly.toml` file.
 
@@ -32,7 +30,6 @@ Note: you can do this manually via the fly.io dashboard under the "secrets" sub-
 
 `fly deploy`
 
-
 ## Connecting to your bot
 
 Send a post request to your running fly.io instance:
@@ -40,4 +37,3 @@ Send a post request to your running fly.io instance:
 `curl --location --request POST 'https://YOUR_FLY_APP_NAME/start_bot'`
 
 This request will wait until the machine enters into a `starting` state, before returning the a room URL and token to join.
-

examples/deployment/flyio-example/install_deps.py

@@ -1,4 +0,0 @@
-import torch
-
-# Download (cache) the Silero VAD model
-torch.hub.load(repo_or_dir='snakers4/silero-vad', model='silero_vad', force_reload=True)