ChatGPT_Automation
An undetected-chrome interface to communicate with ChatGPT
You need to have Chrome installed. To pass Cloudflare robot test, undetected-chrome is a must.
Here is how to start quickly.
Installation
git clone https://github.com/ugorsahin/ChatGPT_Automation
cd ChatGPT_Automation
pip install .
Usage
from chatgpt_automation import ChatGPT_Client
chatgpt = Handler(YOUR_USERNAME, YOUR_PASSWORD)
answer = chatgpt.interact("Hello, how are you today")
print(answer)
TalkingHeads
This is a wrapper module to use more than one ChatGPT instance, it helps to create simulation for conversations.
Here is how to start quickly.
from chatgpt_automation import TalkingHeads
heads = TalkingHeads(YOUR_USERNAME, YOUR_PASSWORD, 2)
interviewer = """Assume that you are an interviewer at Google.\
You are interviewing a candidate for the following job:
Minimum qualifications:
- Bachelor's degree in Computer Science, a related degree, or equivalent practical experience.
- Experience in software engineering, with C++ programming language.
Preferred qualifications:
- Experience with on-device automotive SDKs and development tools.
- Experience working with Linux.
Responsibilities
- Manage the automotive industry uses mapping data to power autonomous and assisted driving.
- Gain an understanding of how our partners evaluate Geo services quality.
Here is your profile as an interviewer:
- You will start by asking questions to the candidate.
- You can ask complex questions.
- At the end, decide whether the candidate is a fit for the job.
- Explain you decision at the end.
- Be picky
Start by welcoming the interviewer.
"""
candidate = """Assume that you are a candidate for a position at Google.
You will answer the questions of the interviewer.
Below is your CV:\n
Programming Languages
Python - C - C++ - JavaScript - SQL - LaTeX – Dart - Kotlin - Haskell
Frameworks, Tools and Related Tech Stack
PyTorch - Tensorflow - Numpy - Flask - Flutter - Docker - Git - Elasticsearch - GDB
Here how it starts:\n """
two_heads.start_conversation(interviewer, candidate)
Then you can continue to the conversation, call below function. If you would like to alter responses, use the positional arguments
two_heads.continue_conversation(text_1: str= None, text_2: str= None)
Issues & Contribution
I would be happy to answer any questions or accept your contributions. Let me know in issues if you need anything..