anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Generates ChatGPT-style prompts from a short starting phrase, using models trained on a public prompt collection. Suits anyone who wants ideas for what to ask a chat assistant.
ChatGPT Prompt Generator is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download merve/ChatGPT-prompt-generator --repo-type space --local-dir ChatGPT-prompt-generator cd ChatGPT-prompt-generator
This Space generates prompts for chat assistants. By its name and the models it lists, a short starting phrase goes in and a longer prompt comes out. Both models are named for BART and long ChatGPT prompts, and the page names a public prompt collection as its dataset. The source gives no further description.
It suits people who want ideas for what to ask a chat assistant, and developers who want to see a small text generation demo.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Writing | Writers and bloggers | Get prompt ideas for drafting and editing | Start from a role and read the prompt it suggests |
| Marketing | Content teams | Generate starting prompts to adapt for campaigns | Try a few phrases and keep the best prompt |
| Education | Students and teachers | See how a prompt can be phrased in more detail | Enter a topic and compare the prompt with your own |
| Software | Developers | Read a short Gradio app around a text generation model | Open app.py and follow it |
Skip it if you need a prompt tuned for one exact task, since the source describes only a general generator.
| Use case | Who | What they get back |
|---|---|---|
| Finding prompt ideas | Anyone using a chat assistant | A longer prompt grown from your short phrase |
| Studying prompt style | Learners | Examples of how prompts are phrased |
| Reading the code | Developers | A short Gradio app with three files |
The online copy needs nothing. For a copy on your own computer, you need the following.
pip install -U huggingface_hub hf download merve/ChatGPT-prompt-generator --repo-type space --local-dir ChatGPT-prompt-generator cd ChatGPT-prompt-generator pip install gradio==4.16.0 pip install -r requirements.txt python app.py
Online, open the Space's page, type a short starting phrase and run it. On your own computer, start the app with the command below. The source does not describe the controls, so follow the labels on the page.
python app.py
You type a short phrase such as "a travel guide for a small town" and run the generator. The Space returns a longer prompt that you can copy into a chat assistant and edit. The source gives no sample output.
If you are new, try a few different short phrases and compare what the generator returns. Edit the best result by hand before you use it, since a generated prompt is only a starting point.
If you know the field, the Space names two long BART checkpoints trained on prompts, and it runs on zero-a10g hardware at Hugging Face. The training data is a public prompt collection, so the output echoes common prompt styles rather than a particular task.
The source is short, so output quality and limits are not described.
Generates ChatGPT-style prompts from a short starting phrase, using models trained on a public prompt collection. Suits anyone who wants ideas for what to ask a chat assistant.
Made by merve on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space generates prompts for chat assistants. By its name and the models it lists, a short starting phrase goes in and a longer prompt comes out. Both models are named for BART and long ChatGPT prompts, and the page names a public prompt collection as its dataset. The source gives no further description.
Who it suits: It suits people who want ideas for what to ask a chat assistant, and developers who want to see a small text generation demo.
Industry | Who uses it | How they use it | Example
Writing | Writers and bloggers | Get prompt ideas for drafting and editing | Start from a role and read the prompt it suggests
Marketing | Content teams | Generate starting prompts to adapt for campaigns | Try a few phrases and keep the best prompt
Education | Students and teachers | See how a prompt can be phrased in more detail | Enter a topic and compare the prompt with your own
Software | Developers | Read a short Gradio app around a text generation model | Open app.py and follow it
Skip it if you need a prompt tuned for one exact task, since the source describes only a general generator.
Where to use it:
Use case | Who | What they get back
Finding prompt ideas | Anyone using a chat assistant | A longer prompt grown from your short phrase
Studying prompt style | Learners | Examples of how prompts are phrased
Reading the code | Developers | A short Gradio app with three files
How to set it up: The online copy needs nothing. For a copy on your own computer, you need the following.
pip install -U huggingface_hub
hf download merve/ChatGPT-prompt-generator --repo-type space --local-dir ChatGPT-prompt-generator
cd ChatGPT-prompt-generator
pip install gradio==4.16.0
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page, type a short starting phrase and run it. On your own computer, start the app with the command below. The source does not describe the controls, so follow the labels on the page.
python app.py
Example: You type a short phrase such as "a travel guide for a small town" and run the generator. The Space returns a longer prompt that you can copy into a chat assistant and edit. The source gives no sample output.
For newcomers and experts: If you are new, try a few different short phrases and compare what the generator returns. Edit the best result by hand before you use it, since a generated prompt is only a starting point.
If you know the field, the Space names two long BART checkpoints trained on prompts, and it runs on zero-a10g hardware at Hugging Face. The training data is a public prompt collection, so the output echoes common prompt styles rather than a particular task.
You open the Space or run app.py
You type a short phrase
The BART prompt model expands it
You copy the generated prompt
Good to know: The source is short, so output quality and limits are not described.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
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