| title | Toy Apps |
|---|---|
| emoji | 🏃 |
| colorFrom | green |
| colorTo | blue |
| sdk | gradio |
| sdk_version | 5.5.0 |
| app_file | app.py |
| pinned | false |
Please try out the app at https://huggingface.co/spaces/ai-dufflebags/toy_apps
In this app, I developed the following features, each presented on separate tabs in the Gradio interface:
-
Text Summarization: A tool that condenses long pieces of text into concise summaries, highlighting the main points and key information.
-
Named Entity Recognition (NER): An NLP feature that identifies and classifies entities (such as names of people, organizations, locations, etc.) within the input text.
-
Image Captioning: A module that generates descriptive captions for uploaded images, providing a brief and relevant summary of the visual content.
This app is built based on course Building Generative AI Applications with Gradio @ DeepLearning.ai
if you are interested in learning step by step in jupyter notebooks, please refer to https://github.com/ai-yojigenpoketto/GenAI_Apps_w_Gradio