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app.py

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+import streamlit as st
+from textblob import TextBlob
+
+def classify_mood(text, pos_thr=0.30, neg_thr=-0.30):
+    bad_words = ["stupid", "hate", "idiot", "dumb", "kill", "moron", "loser"]
+
+    if text is None or text.strip() == "":
+        return "Empty Text", "Please write something to analyze"
+
+    lower_text = text.lower()
+    for bw in bad_words:
+        if bw in lower_text:
+            return "inappropriate", "Inappropriate Words"
+
+    blob = TextBlob(text)
+    polarity = blob.sentiment.polarity
+
+    if polarity >= pos_thr:
+        return "happy", "Happy"
+    elif polarity <= neg_thr:
+        return "sad", "Sad"
+    else:
+        return "neutral", "Neutral"
+
+st.set_page_config(page_title="Kid-safe Mood Detector", layout="centered")
+st.title("Kid-safe Text-Mood Detector")
+st.write("Pick sensitivity level --> Type a text --> Press Analyze --> Get Emotion")
+
+preset = st.selectbox("Sensitivity Level:", ("Balanced (±0.30)", "Strict (±0.35)", "Sensitive (±0.25)"), index=0)
+
+if preset == "Strict (±0.35)":
+    pos_thr = 0.35
+    neg_thr = -0.35
+elif preset == "Sensitive (±0.25)":
+    pos_thr = 0.25
+    neg_thr = -0.25
+else:
+    pos_thr = 0.30
+    neg_thr = -0.30
+
+st.markdown(f"**Current thresholds:** Positive ≥ +{pos_thr:.2f}  |  Negative ≤ {neg_thr:.2f}")
+
+with st.form("input_form"):
+    user_text = st.text_input("Write a text:")
+    analyze = st.form_submit_button("Analyze")
+
+if analyze:
+    mood, message = classify_mood(user_text, pos_thr, neg_thr)
+
+    if mood == "empty":
+        emoji = "🥱"
+    elif mood == "inappropriate":
+        emoji = "⚠️"
+    elif mood == "happy":
+        emoji = "😀"
+    elif mood == "sad":
+        emoji = "😞"
+    else:
+        emoji = "😐"
+
+    st.markdown(f"### {emoji}  {message}")

requirements.txt

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+streamlit>=1.20
+textblob>=0.17