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https://github.com/OMGeeky/gpt-pilot.git
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Added TOC and numbered list
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README.md
25
README.md
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---
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<!-- TOC -->
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* [Main pillars of GPT Pilot:](#main-pillars-of-gpt-pilot)
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* [🚦How to start using gpt-pilot?](#how-to-start-using-gpt-pilot)
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* [🧑💻️ Other arguments](#-other-arguments)
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* [🔎 Examples](#-examples)
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* [Real-time chat app](#real-time-chat-app)
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* [Markdown editor](#markdown-editor)
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* [Timer app](#timer-app)
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* [🏗 How GPT Pilot works?](#-how-gpt-pilot-works)
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* [🕴How's GPT Pilot different from _Smol developer_ and _GPT engineer_?](#hows-gpt-pilot-different-from-smol-developer-and-gpt-engineer)
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* [🔗 Connect with us](#-connect-with-us)
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<!-- TOC -->
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---
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This is our try to see how can GPT-4 be utilized to generate working apps and to my surprise, it works quite well.
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**Detailed explanation about the concept behind GPT Pilot can be found in [this blog post](https://blog.pythagora.ai/2023/08/23/430/).**
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@@ -26,11 +41,11 @@ Obviously, it still can't create any production-ready app but the general concep
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2. `cd gpt-pilot`
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3. `python -m venv pilot-env`
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4. `source pilot-env/bin/activate`
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3. `pip install -r requirements.txt`
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4. `cd pilot`
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5. `mv .env.example .env`
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6. Add your OpenAI API key and the database info to the `.env` file
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7. `python main.py`
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5. `pip install -r requirements.txt`
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6. `cd pilot`
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7. `mv .env.example .env`
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8. Add your OpenAI API key and the database info to the `.env` file
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9. `python main.py`
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After, this, you can just follow the instructions in the terminal.
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