Next Word Prediction Us GPT

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Introduction

Prompt 1

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I want to create a keyboard input program to predict the next word.  I want this program to connect GPT-3 API.  Generate for me a step-by-step guide.

Generative result 1

Sure, I can help you create a keyboard input program to predict the next word using the GPT-3 API. Here’s a step-by-step guide to get started:

Step 1: Set up your GPT-3 API account To use the GPT-3 API, you will need to sign up for an account on the OpenAI website and obtain an API key. Follow the instructions on the OpenAI website to create an account and generate an API key.

Step 2: Install necessary packages You will need to install the following Python packages to work with the GPT-3 API:

  • openai
  • keyboard

You can install these packages using pip by running the following command in your terminal:

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pip install openai keyboard

Step 3: Set up your Python script Open your preferred text editor and create a new Python script. You will need to import the openai and keyboard modules, as well as set up your API key.

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python import openai
import keyboard

openai.api_key = "YOUR_API_KEY"

Step 4: Create a function to predict the next word You can use the openai.Completion.create() function to generate predictions for the next word based on the user’s input. Here’s an example function that takes in the user’s input and returns a prediction for the next word:

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python def predict_next_word(input_text):
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=input_text,
        max_tokens=1,
        n=1,
        stop=None,
        temperature=0.5,
    )
    prediction = response.choices[0].text.strip()
    return prediction

In this example, we’re using the text-davinci-002 engine, which is the most capable GPT-3 model available. You can adjust the max_tokens parameter to change the length of the prediction, and the temperature parameter to control the “creativity” of the prediction.

Step 5: Set up a keyboard listener You can use the keyboard module to listen for keyboard input from the user. Here’s an example function that listens for the user to press the spacebar, then calls the predict_next_word() function with the user’s input:

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python def on_spacebar(event):
    input_text = keyboard.get_typed_strings(event)[0]
    prediction = predict_next_word(input_text)
    print(prediction)

keyboard.on_press_key("space", on_spacebar)

In this example, we’re using the on_press_key() function to listen for the spacebar key. When the user presses the spacebar, the on_spacebar() function is called, which gets the user’s input using the get_typed_strings() function and passes it to the predict_next_word() function. Finally, the prediction is printed to the console.

Step 6: Run your script Save your Python script and run it from the terminal. When you press the spacebar, the program will generate a prediction for the next word based on your input.

That’s it! With these steps, you should now have a keyboard input program that predicts the next word using the GPT-3 API.

Prompt 2

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Excellent!  Can you provide 5 possible next words instead of 1?

Generative result 2

Sure! To generate multiple possible next words instead of just one, you can adjust the n parameter in the openai.Completion.create() function to the number of predictions you want to generate. Here’s an updated version of the predict_next_word() function that returns 5 possible next words:

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python def predict_next_words(input_text):
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=input_text,
        max_tokens=1,
        n=5,
        stop=None,
        temperature=0.5,
    )
    predictions = [choice.text.strip() for choice in response.choices]
    return predictions

In this example, we’re setting the n parameter to 5 to generate 5 possible predictions. The predict_next_words() function now returns a list of 5 possible next words, which you can use however you like.

To print out the 5 possible next words, you can modify the on_spacebar() function to loop through the predictions and print each one:

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python def on_spacebar(event):
    input_text = keyboard.get_typed_strings(event)[0]
    predictions = predict_next_words(input_text)
    for prediction in predictions:
        print(prediction)

Now, when you press the spacebar, the program will generate and print out 5 possible next words based on your input.