Note: The Sandbox implements the formal InteropDialogEventSpecs in a working environment.
A browser/assistant system for experimentation with OVON Envelopes. It is:
- Text and Speech based
- Provides a server to run as localhost to host the browser html/javascript
- Has a list of OVON Envelope based assistant servers to play with
- Has a skeleton python assistant server that you can use to build assistants
If you want a VERY QUICK Start, then do the following:
-
After cloning the repository navigate to the Version_3/D3 directory in your file explorer.
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Start up the local sandbox server (it requires Python):
- For Windows: double-click windowsStartup.command
- For Mac: double-click macStartup.bat
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Open up a MS Edge browser.
- (NOTE: The sandbox does work with the Chrome browser, BUT there are fewer and lower quality TTS voices available. This will be an issue if you are experimenting with several different assistants.)
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Enter the URL: localhost:6002
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You should see a diagram of the sandbox.
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Enter the name you want to be addressed by (e.g. Sarah).
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Click the Start Sandbox button.
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Click on the Select an Assistant dropdown and select Wizard.
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Click the Bare Invite button.
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This will open the Conversation page.
- You will see Assistant: Wizard
- The Wizard will say: This is the Wizard Agent. Ask me anything.
- To say something to the Wizard either:
- Click the blue microphone icon and speak, or
- Type text in the Utterance box (& press enter)
- Below are the OVON messages that were SENT and RECIEVED.
- NOTE: The Wizard is a single question/response assistant, it does not maintain context.
-
Other NON-LLM Assistants are:
- Smart Library - an expert on published books
- Jonathan - a pythonAnywhere example (dumb, only greets)
- PetePyAnywhere - a pythonAnywhere example (code in the sandbox under AssistantServers/PythonAssistants)
- Sam - runs on a local python server (simple but you can modify the python)
- you must start it in directory: Version_3\D3\AssistantServers\PythonAssistants\localSamServer
-
If you want to experiment with your own LLM based Assistants (requires an OpenAI key ) then look here.
- NOTE: Click the Settings button and paste your OpenAI key in the field OpenAI. It is stored in the browser and will be use for all subsequent LLM activities.
-
Also, if you have an OpenAI key you will have access to several other assistants on the Select an Assistant dropdown.
- Cassandra - a Personal assistant who can transfer to:
- Pat - If you want to buy some flowers (for you mom's birthday?)
- Sukanya - To order from the Thai Palace (carryout lunch?)
- Andrew - Your local postoffice (price to mail ???)
- Charles - Your local hardware store (chainsaw repaired?)
- Fred - Your local pharmacy
- Carlos - maitre d of the El Fish restraunt in Manhattan
- Tennis - an expert on all things Tennis
- Sandy - can answer questions about the "SandBox" (But only trust the docs, Sandy gets creative.)
- Cassandra - a Personal assistant who can transfer to:
-
Read the sections below and the other MD files in other directories for further information.
- Added concepts for certain assistants to understand conversation better and for discovery.
- Added floor events to handle delegations/transfers to different assistants.
- Updated Sequence Diagram page quite a bit for better analytics.
- Added a place to put company/organization logos found here
The following are installed in the command line. Install using pip3 Following are ONLY needed if you are building your own assistant server
- Flask:
pip3 install flask
- Flask_cors:
pip3 install flask-cors
- Requests:
pip3 install requests
BUT for the full advanced speech system you should use MS Edge
Chrome will work too BUT you will be offered fewer TTS voices
- Notes on the Edge Web Browser
- The Edge browser is a Chromium base browser
- Importantly Edge provides a wide range of quality TTS voices
- Also Edge provides high quality Speech Recognition
- Only Chrome and Edge provide usable ASR (currently)
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Clone Repository on local machine
-
Navigate to project directory in a console/cmd window
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Start the sandbox server by running this command:
python sandboxServer.py
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by double clicking the .bat file (for windows) or the .command file (for Mac)
- Double click the
sbStartup.html
- Open you web browser
- In the Navigation bar enter: http://localhost:6002
- You will see a page titled OVON SandBox Homepage
- Enter your first name (may be used by assistants to address you)
- Press the "Start Sandbox" button
There are several working assistants that use the OVON Envelope. They were developed by members of our group as experimental examples.
- Some of the assistants:
- wizard: Says "Ready" when you start
- When you type an input it will respond to a question
- You can continue as long as you like
- It uses and underlying LLM
- It runs somewhere on the web
- library:
- It accepts an invite and an utterance
- Once it responds you can speak/type some input
- It can tell you things about published books
- It runs somewhere on the web
- discovery:
- When started (with a bare invite) it just waits for input
- It's purpose is to discover the domain that you are interested in
- You might say something like "I want to know about kites."
- It runs locally in JavaScript
- NOTE: It requires an OpenAI key to work (entered on settings page)
- betty:
- A local python based assistant
- It only responds to things like "hello" and "goodbye" (see the code)
- You can build any sort of assistant you want on this model
- wizard: Says "Ready" when you start
After you pressed the "Start Sandbox" button you will land on the Sandbox-Home page.
After you select an Assistant click on Bare Invite button
- This will take you to the Sandbox - Conversation page
- It will send the initial OVON Envelope invite to the Assistant
- You will see the SENT/RECEIVED OVON envelopes
- You will see the extracted text Response
- You may type in the Utterance box to send an "utterance"
- (remember to end with the enter key)
- You can also click the microphone icon and speak
- Version_2.0/Sandbox [Root]
- sandboxServer.py [File]
- the localhost server that supports the browser components
- AssistantServers [Directory]
- PeteSimplePyAnywhere [Directory] This is a skeleton for a pythonanywhere.com assistant. more
- localPyAssistant [Directory] This is a python server that will run on your machine (localhost) and makes it easier to debug your experiments with the Envelope. more
- internalBasic [Directory] This is a simple JavaScript server that will run in the browser making it easy to experiment with the Envelope. more
- internalServer [Directory] This is a JavaScript server that runs in the browser and supports OpenAI LLMs. more
- feel free to explore the other assistant files, but it is okay to ignore them for now.
- Browsers [Directory]
- HTML pages for the browser more
- Scripts [Directory]
- javascript, css, etc. to support the browser more
- sandboxServer.py [File]
- Emmett Coin - Architect & Senior Developer
- Leah Barnes - Junior Developer
Here are some of the FAQs we have come up with, feel free to submit any inquries/questions you may have to our discussions page or on our discord