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How To integrate ChatGPT with Python


 

Are you interested in exploring the latest trends, use-cases, and real-world applications of Artificial Intelligence (AI)? ChatGPT is a variant of the GPT-3 language model, specifically designed to generate conversational language. In this article, we’ll show you the exact steps needed to make use of ChatGPT in Python. Let’s get started! 


First — Create a new project folder:

---

$ mkdir python-chatgpt

$ cd python-chatgpt

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Now that the project folder is ready, install the OpenAI API client library for Python. To do so, you’ll need to have Python and pip, the Python package manager, installed on your system.


 In the terminal or command prompt, type the following command:

$ pip install openai

Once the installation is complete, you can import the library in your Python code by adding the following line at the top of your script:

import openai

Now, let’s extend the Python code and use the OpenAI client library to interact with the AI. Create a new file chat.py in the project folder and start by inserting the import statement on top of the file. 

API Keys Page View 

To use the OpenAI API, you’ll need to sign up for an account and obtain an API key. Once you have your API key, replace YOUR_API_KEY in the Python code with your actual API key. This will allow the OpenAI API client to authenticate your requests. 

To generate a output, set up the OpenAI API client, model engine, and prompt, and then create a completion instance with the following parameters:

openai.api_key = "YOUR_API_KEY" 

model_engine = "text-davinci-003" 

prompt = "Hello, how are you today?"

completion = openai.Completion.create( 
engine=model_engine,
 prompt=prompt,
 max_tokens=1024,
 n=1,
 stop=None,
 temperature=0.5,
 )

 The response will be returned as a string in the response variable. You can customize the behavior of the model by adjusting the temperature parameter, which controls the level of randomness in the generated text. You can also use the stop parameter to specify a string or sequence of strings that will cause the model to stop generating further text.

 Once everything is setup, execute the Python script by typing in the following command: 

$ python chat.py

You can see that ChatGPT is responding with an answer to the question “Hello, how are you today?”. That’s how simple it is to get up and running with ChatGPT-3 and Python!



That’s how easy it is to use ChatGPT functionality from within your Python program. Now that you know the exact steps needed to make use of ChatGPT in Python, you can explore the latest trends, use cases, and real-world applications of Artificial Intelligence with ease. It’s HELLA FUN TO PLAY WITH!

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If you would like to see how far you can take ChatGPT-3, look at a cover letter builder that generates cover letter for any position in under 30 seconds using the ChatGPT-3 engine. Website — coverletterbuilder

If you have any feedback or suggestions for improving the UI/UX of coverletterbuilder, I would love to hear from you! Please leave a comment or connect with me via any link above. 

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