streamlit vs gradio: which to pick?
summary
Compares Streamlit and Gradio with hands‑on examples: wrapping a Flask hello‑name service, an interactive Titanic CSV filter & bar chart, and an image object detector tested on a cat photo. Gradio uses a function-as-trigger model with block inputs/outputs, defaults to ML workflows and launches via Hugging Face hosting; it classifies the uploaded cat confidently as “cat.” Streamlit runs as a script-based rerun for reactive filters and nicer dataframes/charts, requires more code for object detection, and both offer free hosting with limits.
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chapters (7)
- 0:00Introduction to Streamlit and Gradio
- 1:53Core features comparison
- 4:45Backend developer use case
- 7:58Data analyst use case
- 12:32Machine learning demo
- 16:37Conclusions and recommendations
- 18:06Q&A session
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