---
title: TextBlobSentimentAnalysis
emoji: 📈
colorFrom: yellow
colorTo: purple
sdk: streamlit
app_file: app.py
pinned: false
license: apache-2.0
short_description: 'Kid safe Text Mood Detector '
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# Keyur-Jotaniya-mood2emoji
Kid-safe Text-Mood Detector (Streamlit + TextBlob or rule-based)

# Kid-safe Text-Mood Detector 
A simple Streamlit + TextBlob app for kids

## What this project does

This web app takes a text and predicts the **mood** behind it using **TextBlob sentiment analysis**.  

| Mood | Emoji | Example Output |
---------------------------------
| Happy | 😀 | "Happy" |
| Neutral | 😐 | "Neutral" |
| Sad | 😞 | "Sad" |
| Inappropriate | ⚠️ | "Inappropriate words" |
| Empty Input | 🥱 | "Empty text — Please write something to analyze" |

This app helps kids safely understand and have fun with Natural Language Processing (NLP).

## How kids learn from it

1. Experiment with how computers “read” emotions from text.  
2. See how simple **thresholds** (+0.3 / -0.3) decide between *happy, sad, or neutral*.  
3. Learn about **safe and responsible AI** — understanding how a program can detect inappropriate words.  
4. Try changing the **sensitivity** (Strict / Balanced / Sensitive) to see how it affects the results.  

This hands-on activity helps them connect basic coding logic (`if`, `elif`, `else`) with real-world AI behavior.  


## Tech Used

- **Python 3.9+**
- **Streamlit** for the interactive web app  
- **TextBlob** for simple sentiment polarity detection