0.1.112 prerelease (vocodedev#557)

* bump for prerelease

* bumps to 0.1.112

apps/client_backend/Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.9-bullseye
+FROM python:3.11-bullseye
 
 # get portaudio and ffmpeg
 RUN apt-get update \

apps/client_backend/README.md

@@ -1,34 +1,9 @@
 # client_backend
 
-## Docker
-
-1. Set up the configuration for your agent in `main.py`.
-2. Set up an .env file using the template
-
-```
-cp .env.template .env
-```
-
-Fill in your API keys into .env
-
-3. Build the Docker image
-
-```bash
-docker build -t vocode-client-backend .
-```
-
-4. Run the image and forward the port.
-
-```bash
-docker run --env-file=.env -p 3000:3000 -t vocode-client-backend
-```
-
-Now you have a client backend hosted at localhost:3000 to pass into the Vocode React SDK. You'll likely need to tunnel port 3000 to ngrok / host your server in order to use it in the React SDK.
-
-## Non-docker setup
-
 `main.py` just sets up a FastAPI server, so you can just run it with uvicorn:
 
 ```
 uvicorn main:app
 ```
+
+Note: building this with Docker is currently broken in 0.1.112 - we're planning an overhaul here, stay tuned!

apps/client_backend/pyproject.toml

@@ -6,11 +6,11 @@ authors = ["Your Name <[email protected]>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.12"
+python = ">=3.11,<3.12"
 python-dotenv = "^1.0.1"
-vocode = { path = "../..", extras = [
+vocode = { version = "0.1.112", extras = [
     "all",
-], develop = true, python = ">=3.11,<3.12" }
+] }
 elevenlabs = "^1.2.2"
 
 

apps/telephony_app/Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.9-bullseye
+FROM python:3.10-bullseye
 
 # get portaudio and ffmpeg
 RUN apt-get update \

apps/telephony_app/pyproject.toml

@@ -6,12 +6,13 @@ authors = ["Your Name <[email protected]>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.12"
+python = ">=3.10,<3.12"
 pyngrok = "^7.1.6"
 python-dotenv = "^1.0.1"
-vocode = { path = "../..", extras = [
+azure-cognitiveservices-speech = "^1.38.0"
+vocode = { version = "0.1.112", extras = [
     "all",
-], develop = true, python = ">=3.11,<3.12" }
+]}
 
 
 [build-system]

docs/open-source/react-quickstart.mdx

@@ -38,22 +38,24 @@ AZURE_SPEECH_KEY=
 AZURE_SPEECH_REGION=
 ```
 
+### Running with Python
+
+```
+pip3 install vocode
+uvicorn main:app --port 3000
+```
+
 ### Running with Docker
 
+Note: this is currently broken in 0.1.112 - we're planning an overhaul here, stay tuned!
+
 From the `client_backend` directory:
 
 ```
 docker build -t vocode-client-backend .
 docker run --env-file=.env -p 3000:3000 -t vocode-client-backend
 ```
 
-### Running with Python
-
-```
-pip3 install vocode
-uvicorn main:app --port 3000
-```
-
 You now have a server with a Vocode websocket route at localhost:3000! You can now use the `useConversation` hook with your self-hosted backend as follows:
 
 ```typescript

docs/open-source/telephony.mdx

@@ -58,6 +58,8 @@ Pick one of these two ways to run the server: 1. Run everything with Docker, 2.
 
 ### Option 1: Run everything With Docker
 
+Note: Support for the Azure synthesizer is currently broken in the current base Docker Python image.
+
 1. Build the telephony app Docker image. From the `telephony_app` directory, run:
 
 ```bash

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "vocode"
-version = "0.1.112a0"
+version = "0.1.112"
 description = "The all-in-one voice SDK"
 authors = ["Ajay Raj <[email protected]>"]
 license = "MIT License"