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Micro Tutorial: Using Google Colab and Integrating with LLMs like ChatGPT

Micro Tutorial: Using Google Colab and Integrating with LLMs like ChatGPT#

Introduction#

Google Colab is a free, cloud-based Jupyter notebook environment that allows you to write and execute Python code in your browser. This tutorial will guide you through the steps to use Google Colab and integrate it with language models like ChatGPT.

Getting Started with Google Colab#

Step 1: Opening Google Colab#

  • Go to Google Colab

  • Sign in with your Google account if you haven’t already.

Step 2: Creating a New Notebook#

  • Click on ‘File’ -> ‘New Notebook’.

  • You will see a new notebook interface with a code cell ready for you to start coding.

Integrating with ChatGPT#

To integrate Google Colab with ChatGPT, you need to use the OpenAI API. Here’s a step-by-step guide:

Step 1: Install the OpenAI Python Package#

First, you need to install the OpenAI Python package. Run the following command in a Colab code cell:

!pip install openai

Step 2: Import Necessary Libraries#

import openai
import os

Step 3: Set Up Your OpenAI API Key#

You need an API key from OpenAI to access ChatGPT. You can obtain it from the OpenAI website after creating an account.

# Set your OpenAI API key here
openai.api_key = 'your-api-key-here'

Step 4: Use ChatGPT to Generate Text#

Now, you can use the OpenAI API to generate text. Here’s an example code snippet that sends a prompt to ChatGPT and prints the response:

def generate_response(prompt):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=100
    )
    return response.choices[0].text.strip()

# Example usage
prompt = "Explain the theory of relativity in simple terms."
response = generate_response(prompt)
print(response)

Example Notebook#

Here is a complete example of a Google Colab notebook that integrates with ChatGPT:

# Install the OpenAI package
!pip install openai

# Import the OpenAI library
import openai

# Set your OpenAI API key
openai.api_key = 'your-api-key-here'

# Function to generate a response from ChatGPT
def generate_response(prompt):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=100
    )
    return response.choices[0].text.strip()

# Example prompt
prompt = "What are the benefits of using Google Colab for data science projects?"

# Generate and print the response
response = generate_response(prompt)
print(response)

Running the Notebook#

  1. Copy the code into a Google Colab notebook.

  2. Replace 'your-api-key-here' with your actual OpenAI API key.

  3. Run the notebook cells to see the output.

Conclusion#

You have now learned how to set up and use Google Colab and integrate it with a language model like ChatGPT. This setup can be very powerful for various applications including data analysis, natural language processing, and more.

Happy coding!

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