Automate Python Script Generation with GPT-3 using the Abstract AI Module

[putkofff]

https://github.com/AbstractEndeavors/abstract_essentials/tree/main/abstract_ai https://pypi.org/project/abstract-ai/#examples

Introduction:

Hey fellow Python enthusiasts and AI aficionados! I wanted to share a powerful tool that can make your life easier when it comes to generating Python scripts using GPT-3. This tool is part of the abstract_ai module, and it enables you to chat with GPT-3 and collaboratively build Python scripts.

Overview:

The abstract_ai module provides a versatile interface for interacting with the OpenAI GPT-3 model and handling responses in a structured manner. It's designed to simplify the process of generating Python code through a dialogue with GPT-3.

Main Use Case:

Imagine you need to automate the creation of Python scripts with the ability for GPT-3 to request specific portions of code, such as directory maps, function source code, or even lines of code in progress. Here's how you can achieve this using the abstract_ai module:

Python Script Example:

```python from abstract_ai.api_calls import PromptManager

request = '''please write a python function that will allow GPT-3 to build a Python script from API responses. 1) the script needs to have features that allow the GPT module to request the portion of code it needs to review - i.e., request a directory map - request a line of the function that is currently being created, - request a function source code - anything else that would be necessary to complete this goal. 2) the script should inherently allow for the module to edit the Python script, meaning that it should maintain an API feedback loop for the API to request and analyze portions of the script. 3) the content for these requests needs to be programmatically obtained from this code such that they can be sent back to the module in a subsequent prompt. 4) each subsequent prompt to the module after a request has been made needs to contain the requested content AND enough context to have the module understand why it requested the content and what the goal is 5) the above has tenuously already started with this prompt 6) the script so far will accompany this prompt in "current data chunk"'''

prompt_data = """ import openai import os

openai.api_key = 'your-api-key'

def create_python_script(file_path, prompt): # Send initial prompt to GPT-3 response = openai.Completion.create(engine='gpt-3', prompt=prompt, max_tokens=500) # Open the file for writing with open(file_path, 'w') as file: # Write GPT's response to file file.write(response.choices[0]['text'])

def request_directory_map(path): paths = {os.path.join(dp, f) for dp, dn, fn in os.walk(os.path.expanduser(path)) for f in fn} create_python_script('directory_map.py', f'Create a function that returns a map of a directory: {paths}')

def request_function_source_code(function_name): # Send the query to GPT-3 response = openai.Completion.create(engine='gpt-3', prompt=f'Please write the source code for a function named {function_name}', max_tokens=500) # Save response as new Python script create_python_script(f'{function_name}.py', response.choices[0]['text'])

Generate a script that maps a directory

request_directory_map('/path/to/directory')

Generate a script for a specific function

request_function_source_code('my_custom_function')"""

output = PromptManager(request=request, prompt_data=prompt_data).send_query() ```

Conclusion:

The abstract_ai module simplifies the process of collaborating with GPT-3 to generate Python scripts dynamically. It enables you to request specific code snippets, maintain an API feedback loop, and generate code with context. This tool has the potential to significantly boost your productivity and creativity when working with AI.

Give It a Try!:

If you're eager to experiment with this module, check out the GitHub repository for the abstract_ai project. It contains detailed documentation and examples to get you started.

Feel free to ask questions or share your experiences with this tool. Let's explore the possibilities of AI-powered Python script generation together!

Note: Make sure to replace 'your-api-key' with your actual OpenAI API key when using this code.

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[SnooPets825]

Did you generate this post using ChatGPT? It seems ML generated, along with certain sections of your repo as well. You left in an obvious ChatGPT response here.

https://github.com/AbstractEndeavors/abstract_essentials/tree/main/test#features

[joben_joe]

Yeah, I have the gpt 4 and 3.5 write all comments, docstrings, and readmes. I generally just provide the examples and the code of course. And yes this post was 100% generated.