You can create your own chat bot in Python using the OpenAI GPT-3 API. Here's a high-level overview of the steps involved:

1. Get API Access: First, you need to sign up for the OpenAI GPT-3 API and obtain the API key.

2. Install Dependencies: You'll need to install the openai library, which is the official Python client for the OpenAI GPT-3 API. You can install it using pip:

   pip install openai

3. Set up Authentication: You'll need to set up authentication by providing your API key to the openai library. This typically involves setting an environment variable or directly providing the key in your code.

4. Create the Chat Bot: You can then create your chat bot by using the openai.Completion.create method to send prompts to the GPT-3 model and receive responses.

Here's an example of how you can create a simple chat bot using the OpenAI GPT-3 API in Python:

import openai

# Set your API key
api_key = 'YOUR_API_KEY'
openai.api_key = api_key

# Define a function to interact with the GPT-3 model
def ask_gpt3(prompt):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=150
    )
    return response.choices[0].text.strip()

# Main loop for chatting
while True:
    user_input = input("You: ")
    if user_input.lower() == 'exit':
        break
    response = ask_gpt3(user_input)
    print("Bot:", response)

Replace 'YOUR_API_KEY' with your actual API key. In this example, the ask_gpt3 function sends the user's input as a prompt to the GPT-3 model and retrieves the model's response.

Remember to handle error cases, input validation, and other considerations based on your specific use case and requirements. Additionally, ensure compliance with OpenAI's use case policy and terms of service while using the GPT-3 API.

To implement a section where ask_gpt3 asks for the command in another console, you can create a separate Python script that acts as the input receiver for the chat bot. Here's an example of how you can modify the previous code to achieve this:

import openai
import subprocess

# Set your API key
api_key = 'YOUR_API_KEY'
openai.api_key = api_key

# Define a function to interact with the GPT-3 model
def ask_gpt3(prompt):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=150
    )
    return response.choices[0].text.strip()

# Main loop for chatting
while True:
    user_input = input("You: ")
    if user_input.lower() == 'exit':
        break

    # Send user input to the other console
    subprocess.run(["python", "input_receiver.py", user_input])

    response = ask_gpt3(user_input)  # This part remains the same
    print("Bot:", response)

In this modified code, when the user enters input, the program uses subprocess.run to run another Python script called input_receiver.py, passing the user's input as an argument. Here's a simple example of how input_receiver.py might look:

import sys

# Receive the user input from the chat bot
user_input = sys.argv[1]  # Get the user input from the command line arguments

# Process the user input - this section can handle sending the input to another console or application for further processing
# For example, you can use this section to send the input to another program via a network connection, message queue, etc.

# For demonstration purposes, we'll just print the received input
print("Received input:", user_input)

In input_receiver.py, you can implement the logic to handle the user input as needed for your specific use case. This could involve sending the input to another application, server, or processing it in any way that suits your requirements.