Setting up an AI expansion using Espanso
Espanso is a cross-platform text expander, which allows you to define custom text expansions for frequently used words or phrases. It doesn’t have a built-in integration with OpenAI’s GPT-3 API, but you can still use Espanso to send requests to the API and insert the responses into your text.
To do this, you’ll need to use a script or program that can send HTTP requests to the OpenAI API and parse the responses. There are many ways to do this, depending on your preferred programming language and environment. Here is an example of how you might use Espanso to send a request to the OpenAI API and insert the response into your text:
- Install Espanso and set up a trigger word or phrase that you want to use to expand the text. For example, you could set up a trigger word
:ai
that will expand to the text returned by the API. - Write a script or program that sends an HTTP request to the OpenAI API and parses the response. You’ll need to sign up for an API key and follow the API documentation to format your request and parse the response.
- In the Espanso configuration file (usually located at
~/.config/espanso/default.yaml
), add a new expansion for the trigger word you set up in step 1. The expansion should include a command that runs your script or program from step 2, and includes the output of the script as the expanded text.
Here is an example YAML configuration for an Espanso expansion that sends a request to the OpenAI API and inserts the response into the text:
- trigger: ":ai"
replace: "{{output}}"
vars:
- name: "oaiform"
type: form
params:
layout: |
Enter your prompt:
[[prompt]]
fields:
prompt:
multiline: true
- name: output
type: script
params:
args:
- python
- "%CONFIG%/scripts/openai-client.py"
This script is a Python script that uses the OpenAI API to generate text based on a given prompt. The script takes the input text from an environment variable called “ESPANSO_OAIFORM_PROMPT” and sends it to the OpenAI API along with some other parameters, such as the name of the GPT-3 model to use and the maximum number of tokens to generate in the response.
The script then sends a request to the OpenAI API and parses the response, extracting the generated text from the response. Finally, the script prints the generated text to the console.
To use this script with Espanso, you will need to do the following:
- Obtain an API key from the OpenAI website and replace “YOUR_API_KEY” in the script with your actual API key.
- Save the script to the “scripts” directory in your Espanso configuration folder.
import os
import urllib
import urllib2
import json
# Replace YOUR_API_KEY with your actual API key
api_key = "YOUR_API_KEY"
# Set up the API endpoint and headers for the request
endpoint = "https://api.openai.com/v1/completions"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer {}".format(api_key)
}
# Read the input text from the environment variable
input_text = os.environ['ESPANSO_OAIFORM_PROMPT']
# Set up the payload for the request
payload = {
"model": "text-davinci-003", # name of the GPT-3 model to use
"prompt": input_text, # the prompt or input text to send to the API
"max_tokens": 1024, # maximum number of tokens to generate in the response
}
# Encode the payload as JSON
data = json.dumps(payload)
# Set up the request
request = urllib2.Request(endpoint, data, headers)
# Send the request to the API and parse the response
response = urllib2.urlopen(request)
response_json = json.loads(response.read())
# Extract the generated text from the response
generated_text = response_json["choices"][0]["text"]
# Print the generated text
print(generated_text.encode("utf-8"))