Pricing
Pay per usage
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
0.0 (0)
Pricing
Pay per usage
0
16
1
Last modified
4 years ago
# This file tells Git which files shouldn't be added to source control# First, specify the base Docker image.# You can see the Docker images from Apify at https://hub.docker.com/r/apify/.# You can also use any other image from Docker Hub.FROM apify/actor-python:3.9
# Second, copy just requirements.txt into the actor image,# since it should be the only file that affects "pip install" in the next step,# in order to speed up the buildCOPY requirements.txt ./
# Install the packages specified in requirements.txt,# Print the installed Python version, pip version# and all installed packages with their versions for debuggingRUN echo "Python version:" \ && python --version \ && echo "Pip version:" \ && pip --version \ && echo "Installing dependencies from requirements.txt:" \ && pip install -r requirements.txt \ && echo "All installed Python packages:" \ && pip freeze
# Next, copy the remaining files and directories with the source code.# Since we do this after installing the dependencies, quick build will be really fast# for most source file changes.COPY . ./
# Specify how to launch the source code of your actor.# By default, the main.py file is runCMD python3 main.py{ "name": "openai-completion-actor", "version": "0.0", "buildTag": "latest", "env": null}1import json2import os3import openai4
5from apify_client import ApifyClient6
7
8# Run the main function of the script, if the script is executed directly9if __name__ == '__main__':10 # Initialize the main ApifyClient instance11 client = ApifyClient(os.environ['APIFY_TOKEN'], api_url=os.environ['APIFY_API_BASE_URL'])12
13 # Get the resource subclient for working with the default key-value store of the actor14 default_kv_store_client = client.key_value_store(os.environ['APIFY_DEFAULT_KEY_VALUE_STORE_ID'])15
16 # Get the value of the actor input and print it17 actor_input = default_kv_store_client.get_record(os.environ['APIFY_INPUT_KEY'])['value']18 print('Actor input:')19 print(json.dumps(actor_input, indent=2))20
21 # Get OpenAI API key (https://beta.openai.com/docs/developer-quickstart/your-api-keys)22 openai.api_key = actor_input["api_key"]23
24 responses = []25 dataset = []26 # Walk through all the prompts (using the same other parameters)27 for prompt in actor_input['prompt']:28 response = openai.Completion.create(29 engine=actor_input['engine'],30 prompt=prompt,31 temperature=float(actor_input['temperature']),32 max_tokens=actor_input['max_tokens'],33 top_p=float(actor_input['top_p']),34 frequency_penalty=float(actor_input['frequency_penalty']),35 presence_penalty=float(actor_input['presence_penalty']),36 stop=actor_input['stop']37 )38 responses.append(response.choices[0])39 dataset.append({40 "prompt": prompt,41 "response": response.choices[0].text42 })43
44 # Set the 'OUTPUT' key-value store record to the same value as the input45 default_kv_store_client.set_record('OUTPUT', responses)46
47 # Get the resource subclient for working with the default dataset of the actor48 default_dataset_client = client.dataset(os.environ['APIFY_DEFAULT_DATASET_ID'])49
50 # Push responses to the default dataset51 default_dataset_client.push_items(dataset)1# Add your dependencies here.2# See https://pip.pypa.io/en/latest/cli/pip_install/#requirements-file-format3# for how to format them4openai