GPT-CLI – A Command-line Interface for ChatGPT

Hacker News

Hello HN! I'm excited to share my pet project, gpt-cli, a command-line interface for ChatGPT that makes interacting with the AI model easier and more customizable. This CLI tool enables you to chat with ChatGPT, choose between different assistants, and even create your own customized assistants by specifying the model, temperature, and top_p parameters. You can also set default configurations, making it a breeze to switch between assistants for various purposes like general assistance or software development advice. gpt-cli provides a seamless experience with multi-line input and easy-to-use commands to control the conversation. It allows you to clear the conversation, regenerate the last response, or exit the session with simple keypresses. You can also override model parameters on the fly to fine-tune the AI's output. To get started, simply set the OPENAI_API_KEY environment variable or put it in the ~/.gptrc config file. Check out the README for more details on usage, configuration, and customization possibilities. I hope you find this tool helpful and fun to use, and I'm looking forward to your feedback and suggestions! This post was generated by GPT-4 based on the project README.

Visit product View on Hacker NewsMar 17, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, chatgpt, openai · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: started, para · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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