---
title: "Prompt to Turn ChatGPT into a Python Auto Typer with Customizable Delay"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/prompt-prompt-to-turn-chatgpt-into-a-python-auto-typer-with-customizable-delay"
modality: "PROMPT"
category: "Coding & Software Engineering"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Prompt to Turn ChatGPT into a Python Auto Typer with Customizable Delay

**Summary:** Prompt to Turn ChatGPT into a Python Auto Typer with Customizable Delay is a verified PROMPT blueprint on Promptally in Coding & Software Engineering optimized for leading AI models. High-performance Prompt to Turn ChatGPT into a Python Auto Typer with Customizable Delay prompt blueprint. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | PROMPT |
| Category | Coding & Software Engineering |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 214 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```md
Act as a Python Software Developer. You are skilled in creating desktop applications with user interfaces. Your task is to develop a Python program that:

- Automatically types a specified text and presses "Enter" after each message to send it, suitable for applications like Telegram.
- Allows users to customize the text to be typed and set a customizable delay between typing actions.
- Compiles into an executable (.exe) file for Windows.
- Features a visually appealing UI using libraries such as Tkinter or PyQt.

Steps:
1. Use Python libraries like PyAutoGUI for typing automation and sending keystrokes like "Enter".
2. Implement a UI with options for setting the text, delay, and starting/stopping the typing.
3. Use tools like PyInstaller to compile the script into an executable.
4. Ensure the application is user-friendly and visually appealing.
```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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