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Provides a simple but powerful text-in, text-out interface to any OpenAI models. You input some text as a prompt, and the model will generate a text completion that attempts to match whatever context or pattern you gave it. https://beta.openai.com/docs/guides/completion
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This Apify Actor use Open AI beta and its Completions Guide to provide advance AI answers to your prompts using GPT-3 and Codex models.
*You must recieve the Open AI beta access / API key. Join the waitlist if you do not have it yet (it can take few weeks)
Input properties
There are 2 key input properties
- prompt - array of prompts - Texts that you want Open AI to complete or answer
- engine - engine/model you want to use (more about available models in OpenAI documentation)
Details about the other properties you can find under the (?) help icon, in INPUT_SCHEMA.json and in Open AI Codex Reference.
Example prompt
You can type almost anything, good examples can be found in Open AI examples section, e.g.
Grammar correction - Davinci GPT-3
link This zero-shot prompt corrects sentences into standard English.
Prompt
Original: She no went to the market.
Standard American English:
Sample response
She didn't go to the market.
Explain code - Davinci Codex
link Explain a complicated piece of code.
Prompt
class Log:
def __init__(self, path):
dirname = os.path.dirname(path)
os.makedirs(dirname, exist_ok=True)
f = open(path, "a+")
# Check that the file is newline-terminated
size = os.path.getsize(path)
if size > 0:
f.seek(size - 1)
end = f.read(1)
if end != "\n":
f.write("\n")
self.f = f
self.path = path
def log(self, event):
event["_event_id"] = str(uuid.uuid4())
json.dump(event, self.f)
self.f.write("\n")
def state(self):
state = {"complete": set(), "last": None}
for line in open(self.path):
event = json.loads(line)
if event["type"] == "submit" and event["success"]:
state["complete"].add(event["id"])
state["last"] = event
return state
"""
Here's what the above class is doing:
Sample response
1. Create a directory for the log file if it doesn't exist.
2. Open the log file in append mode.
3. Check that the file is newline-terminated. If it isn't, add a newline.
4. Create a state dictionary with two keys:
- complete: a set of all completed job IDs
- last: the last event in the log file
5. Return the state dictionary.
