Update README.md

README.md

@@ -3,7 +3,7 @@ title: TextBlobSentimentAnalysis
 emoji: 📈
 colorFrom: yellow
 colorTo: purple
-sdk: gradio
+sdk: streamlit
 sdk_version: 5.49.1
 app_file: app.py
 pinned: false
@@ -12,3 +12,39 @@ 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