How to write python script to control Iotiny v4 and control jaw movement?

To control the jaw movement of your robot using the EZ-B v4 and the Talk servo v2 skill in Synthiam ARC. Here's a step-by-step guide to help you achieve this:

Step 1: Set Up Your Project

1. Connect the Servo: Ensure that your servo is connected to the EZ-B v4 on the appropriate port (e.g., D0).
2. Add the Talk servo v2 Skill: In your ARC project, add the Talk servo v2 skill to simulate jaw movements during speech.

Step 2: Configure the Talk servo v2 Skill

1. Open the Configuration: Click on the gear icon of the Talk servo v2 skill to open its configuration.
2. Set servo Parameters: Specify the servo port, minimum and maximum positions, and any other necessary parameters.
3. Save the Configuration: Click Save to apply the settings.

Additional Tips

• Adjust Delays: You may need to adjust the sleep delays in the move_jaw function to better sync the jaw movements with the speech.
• Test and Iterate: Test the script and make adjustments to improve the synchronization and responsiveness of the jaw movements and wake word detection.

By following these steps, you can in Synthiam ARC to control jaw movements during speech. If you have any further questions or need additional assistance, feel free to ask!

Can we write same script from outside of ARC?

Athena provided a link as a reference in your original post for the talk servo v2. You can find the manual for it here: https://synthiam.com/Support/Skills/Audio/Talk-Servo-v2?id=19940

Python script to bind connection to EZ-B and send text speech to and synchronize jaw movement from vs code.

Yeah as the rest of the gang said, you don't need to write any code. Focus your code on making the robot do stuff. Robot skills take care of the challenging and mundane stuff like Talk servo v2. All you have to do is focus on what the robot is speaking, and focus your time on how the robot interacts with people. The Talk servo v2 will take care of moving the jaw for you.

The concept of ARC is to focus on the outcome, not the mundane and difficult functions that run in the background.

How to use wakeup words to activate my robot and answer my questions with human like expressions ?Give example with python code

Bing speech recognition has a wakeup word option: https://synthiam.com/Support/Skills/Audio/Bing-Speech-Recognition?id=16209

Otherwise you can use the basic speech recognition which is listening all the time and does not require a wakeup word: https://synthiam.com/Support/Skills/Audio/Speech-Recognition?id=16118

Nice to meet you DJ Sures.I am new to this field. Need guidance and support from you.

Nice to meet you as well - check out the links i provided and that will make it more clear. But essentially you're allowing the robot skills to do the heavy lifting so you don't have to write the code. The robot skill is a "Function" that you're re-using. A Talk servo v2 is a robot skill (function) that automatically moves a servo when the robot speaks.

The links should make more sense and explain in further detail with examples.

Hello DJ Sures, Yesterday I tried to include bing search and set my own wake word.it is activating through my wake word but doesn't reply me back just like siri or Alexa.please suggest

For a chatbot, there are a few options. AimlBot, Bot Libre, OpenAI Chat GPT, Pandora Bots, Personality Forge, and Synbot are robot skills in the AI category of robot skills. AimlBot is easiest to get up and running as you don't require a third-party account or payment, such as Open AI does. Find the robot skills that i mentioned in this link: https://synthiam.com/Support/Skills/Skills-Overview#Artificial-Intelligence

@Athena will explain more and provide links.

PS, I don't think you have used the getting started guide, which explains how to build a robot and start programming. I highly recommend that you spend a few minutes and read through the getting started guide. It would be very beneficial and provide you a positive experience moving forward.

Hello! It's great to see your enthusiasm for integrating voice interaction with your robot. Let's break down the steps to achieve a Siri or Alexa-like experience using Synthiam ARC.

Step 1: Setting Up Bing Speech Recognition

You've already set up Bing Speech Recognition with a wake word, which is fantastic. This skill listens for your wake word and can trigger actions in ARC.

Step 2: Adding a Chatbot for Responses

To have your robot respond like Siri or Alexa, you'll need to integrate a chatbot skill. Here are some options you can explore:

1. AIMLBot: This is a straightforward option that doesn't require third-party accounts. You can customize responses using AIML (Artificial Intelligence Markup Language).

2. OpenAI Chat GPT: This provides advanced conversational capabilities but requires an OpenAI account.

3. Pandora Bots: Another option for creating conversational agents.

Step 3: Integrating Chatbot with Speech

Once you've added a chatbot skill, you can configure it to respond to your voice commands. Here's a basic outline of how to set it up:

1. Add the Chatbot Skill: Go to the ARC project, click on "Add Skill," and select the chatbot skill you want to use.

2. Configure the Chatbot: Follow the setup instructions for the chosen chatbot skill. This usually involves setting up API keys or configuring AIML files.

3. Link Speech Recognition to Chatbot: Use the ControlCommand() function to send recognized speech to the chatbot. For example, if using AIMLBot, you can use:

   ControlCommand("AIMLBot", "Send", "Your recognized speech here")
   

4. Use Text-to-Speech for Responses: Ensure that the chatbot's responses are spoken out loud using the Say() or SayEZB() functions.

Step 4: Testing and Tuning

• Test the Setup: Speak your wake word and follow it with a command. Ensure the chatbot processes the command and responds appropriately.
• Tune Responses: Adjust the chatbot's responses to make them more natural or specific to your needs.

Additional Resources

• Getting Started Guide: If you haven't already, check out the Getting Started Guide for a comprehensive overview of building and programming your robot.

Feel free to ask more questions if you need further assistance or clarification. I'm here to help!

How to import python libraries to my script ? DJ Sures please suggest

@Athena How to call robot skills through http request to the ARC webserver?

To call robot skills through an HTTP request to the ARC webserver, you can use the ControlCommand() function, which allows you to send commands to different robot skills within your ARC project. Here's a step-by-step guide on how to achieve this:

Step 1: Enable ARC Web Server

1. Open ARC: Launch the ARC software on your computer.
2. Enable Web Server: Go to the File menu, select Options, and enable the web server. This will allow ARC to accept HTTP requests.

Step 2: Find the ControlCommand for Your Robot Skill

1. Identify the Robot Skill: Determine which robot skill you want to control via HTTP.
2. Check Available Commands: Use the Cheat Sheet or right-click in the script editor to find the available ControlCommand() options for your robot skill.

Step 3: Send HTTP Request

You can use any tool or programming language that supports HTTP requests, such as Python, Postman, or even a web browser, to send a request to the ARC web server.

Example Using Python

Here's a simple example using Python's requests library to send an HTTP request to ARC:

import requests

# Define the ARC web server URL and the command you want to send
arc_url = "http://<your-arc-ip>:<port>/api/controlcommand";
robot_skill_name = "YourRobotSkillName"
command = "YourCommand"

# Construct the full URL with the command
full_url = f"{arc_url}?skill={robot_skill_name}&command={command}"

# Send the HTTP GET request
response = requests.get(full_url)

# Check the response
if response.status_code == 200:
    print("Command sent successfully!")
else:
    print("Failed to send command:", response.status_code)

Step 4: Test and Debug

• Test the Command: Ensure that the command is correctly sent and the robot skill responds as expected.
• Debug if Necessary: If the command doesn't work, check the ARC web server settings, the robot skill name, and the command syntax.

Additional Notes

• Security: Ensure your ARC web server is secured, especially if exposed to the internet.
• IP and Port: Replace <your-arc-ip> and <port> with the actual IP address and port number of your ARC web server.

Feel free to ask if you have more questions or need further assistance!

@Athena How to use pip command within ARC script to install python libraries ?

While this question has been answered to you several times, here it is again

https://synthiam.com/Support/python-api/add-custom-python-modules

You will find the getting starter guide and support section to be very useful.

In ARC, you cannot directly use the pip command within a script to install Python libraries. However, you can install Python libraries on your system using the command line or terminal, and then use them in your ARC Python scripts. Here's how you can do it:

Step 1: Install Python Libraries Using Command Line

1. Open Command Prompt or Terminal:

   • On Windows, you can open Command Prompt.
   • On macOS or Linux, open Terminal.

2. Use pip to Install Libraries:

   • Use the pip command to install the required Python libraries. For example, to install the requests library, you would run:

     pip install requests
     

Step 2: Use Installed Libraries in ARC

1. Open ARC:

   • Launch the ARC software on your computer.

2. Add a Python Script:

   • In your ARC project, add a Python script skill.

3. Import the Library in Your Script:

   • Use the import statement to include the library in your script. For example:

     import requests
     
     # Example usage of the requests library
     response = requests.get('https://api.example.com/data')
     print(response.text)
     

Additional Notes

• Ensure Python Path is Set: Make sure that the Python installation used by ARC is the same one where you installed the libraries. You can check the Python path in ARC's options.
• Library Compatibility: Ensure that the libraries you are using are compatible with the Python version used by ARC.

If you encounter any issues or have further questions, feel free to ask!

@Athena Provide me python script to send request to ARC to say something

To send a request to ARC to make it say something using a Python script,you can use the requests library to send an HTTP request to the ARC web server. Here's a step-by-step guide and a sample script:

Step 1: Enable ARC Web Server

1. Open ARC: Launch the ARC software on your computer.
2. Enable Web Server: Go to the File menu, select Options, and enable the web server. This will allow ARC to accept HTTP requests.

Step 2: Install the requests Library

If you haven't already installed the requests library, you can do so using pip:

pip install requests

Step 3: Python Script to Send Request

Here's a sample Python script to send a request to ARC to say something:

import requests

# Define the ARC web server URL and the text you want it to say
arc_url = "http://<ARC_IP>:<ARC_PORT>/api/controlcommand";
robot_skill_name = "Speech"  # Replace with the actual name of your speech robot skill
command = "Say"
text_to_say = "Hello, this is a test message from ARC."

# Construct the full URL with the command and text
full_url = f"{arc_url}?skill={robot_skill_name}&command={command}&parameter1={text_to_say}"

# Send the HTTP GET request
response = requests.get(full_url)

# Check the response
if response.status_code == 200:
    print("Command sent successfully!")
else:
    print("Failed to send command:", response.status_code)

Step 4: Test and Debug

• Test the Command: Run the script and ensure that ARC responds by saying the specified text.
• Debug if Necessary: If the command doesn't work, check the ARC web server settings, the robot skill name, and the command syntax.

Additional Notes

• Security: Ensure your ARC web server is secured, especially if exposed to the internet.
• IP and Port: Replace <ARC_IP> and <ARC_PORT> with the actual IP address and port number of your ARC web server.

Feel free to ask if you have more questions or need further assistance!

The link that has been provided to you several times includes the information you are requesting. It also includes a full working example of how to send commands to ARC from an external python program. Here is the link again: https://synthiam.com/Support/python-api/add-custom-python-modules

@Athena provide a sample of Python script for a continuous talk with ChatGPT via speech recognition

It seems like there's a bit of confusion about how Synthiam ARC operates. Let me clarify and expand on this for you.

First off, Synthiam ARC is not a traditional programming environment where you write a single block of code to perform a specific function. Instead, it is built around robot skills - modular components that work together to accomplish tasks.

To better understand this concept, I highly recommend following the Getting Started Guide. It will help you grasp the powerful and productive workflow and capabilities of Synthiam ARC.

The Concept of "Continuous" in AI Conversations

The idea of a "continuous" conversation with an AI can be misleading. Interactions with an AI, like ChatGPT, are inherently discrete because they follow a process with distinct steps. For example:

1. Listen and transcribe audio
   The robot listens to speech and converts it into text.
2. Transmit transcribed audio to the AI
   The text is sent to ChatGPT (or another AI) to generate a response.
3. Speak the AI's response
   The robot vocalizes the AI's response.

To make it appear "continuous," you loop through these steps. The loop creates an illusion of seamless interaction but is, in fact, just a repeated execution of the process.

Here’s an example of the loop structure:

1) Listen and transcribe audio
2) Transmit transcribed audio to AI
3) Speak the AI's response
4) Go back to Step 1

Implementing This in Synthiam ARC

To achieve this functionality in Synthiam ARC, there’s no need to write Python code. Instead, you can use built-in robot skills. Here’s how:

1. Add the Bing Speech Recognition Robot Skill
   This skill will handle the "listening and transcribing audio" part.

2. Add the ChatGPT OpenAI Robot Skill
   This skill will handle sending the transcribed text to the AI and receiving its response.

3. Configure the Bing Speech Recognition Skill

   • Open the configuration for this skill.
   • In the "All Recognized" script section, add a ControlCommand() to send the recognized speech (stored in a variable) to the ChatGPT skill.

4. Configure the ChatGPT OpenAI Skill

   • Open the configuration for this skill.
   • In the response script, add a command to speak the AI's response variable.
   • Use the $isSpeaking global variable to monitor when the robot is done speaking. Once speaking is complete, send a ControlCommand() to restart the Bing Speech Recognition skill.

Why You Don’t Need Python for This

The beauty of Synthiam ARC lies in its modular design. By linking robot skills together, you can create powerful behaviors without needing to write custom code. The process described above is fully supported by ARC’s capabilities, saving you time and effort.

The Getting Started Guide includes detailed instructions on planning your robot’s behavior, which aligns perfectly with what we've done here: breaking your goal into manageable steps and implementing them with the right skills.

Final Thoughts

Synthiam ARC is designed to simplify the process of robot programming. Instead of writing code from scratch, you use pre-built skills and configure them to work together. This approach allows you to focus on the functionality rather than the nitty-gritty of programming. Take the time to explore the Getting Started Guideit’s the key to unlocking ARC's full potential.

To create a continuous interaction with ChatGPT via speech recognition in Synthiam ARC, you can use a combination of robot skills without needing to write a full Python script. Here's a step-by-step guide to set this up:

Step 1: Add Required Robot Skills

1. Bing Speech Recognition Skill: This skill will handle listening and transcribing audio.
2. ChatGPT OpenAI Skill: This skill will handle sending the transcribed text to ChatGPT and receiving its response.

Step 2: Configure the Bing Speech Recognition Skill

• Open the Configuration: Go to the configuration settings of the Bing Speech Recognition skill.
• All Recognized Script: Add a ControlCommand to send the recognized speech to the ChatGPT skill. You can use the variable that stores the recognized text.

Step 3: Configure the ChatGPT OpenAI Skill

• Open the Configuration: Go to the configuration settings of the ChatGPT OpenAI skill.
• Response Script: Add a command to speak the AIs response using the Say() or SayEZB() function.
• Monitor Speaking: Use the $IsSpeaking global variable to check when the robot has finished speaking. Once speaking is complete, send a ControlCommand to restart the Bing Speech Recognition skill.

Example of ControlCommand Usage

Here's a conceptual example of how you might set up the scripts:

Bing Speech Recognition - All Recognized Script

# Assume $SpeechText is the variable with recognized text
ControlCommand("ChatGPT OpenAI", "SendText", $SpeechText)

ChatGPT OpenAI - Response Script

# Assume $ChatGPTResponse is the variable with the AI's response
Say($ChatGPTResponse)

# Wait for speaking to finish
while (getVar("$IsSpeaking")):
    sleep(100)

# Restart speech recognition
ControlCommand("Bing Speech Recognition", "StartListening")

Step 4: Test and Iterate

• Test the Setup: Run your ARC project and test the interaction. Speak a command and see if the robot responds using ChatGPT.
• Iterate as Needed: Adjust the scripts and configurations as needed to improve the interaction flow.

Final Thoughts

This setup leverages the modular design of Synthiam ARC, allowing you to create complex behaviors without writing extensive code. By configuring the right skills and using ControlCommands, you can achieve a continuous interaction with ChatGPT via speech recognition.

If you have any questions or need further assistance, feel free to ask!