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!