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Update app.py
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app.py
CHANGED
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@@ -1,7 +1,6 @@
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# ================================
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# 🪞 MoodMirror+ — Text Emotion • Advice-only +
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# -
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# - Adds a "Numéros d'urgence" tab for crisis helplines by country
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# ================================
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import os
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import re
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@@ -41,6 +40,7 @@ CLOSING_RE = re.compile(
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re.I,
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CRISIS_NUMBERS = {
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"France": "📞 **3114** (Numéro national de prévention du suicide, 24/7)",
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"United States": "📞 **988** (Suicide & Crisis Lifeline, 24/7)",
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@@ -50,33 +50,202 @@ CRISIS_NUMBERS = {
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"Other / Not listed": "Call local emergency (**112/911**) or search “suicide hotline” for your country.",
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}
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#
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SUGGESTIONS = {
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"sadness": [
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}
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WHY_BY_EMOTION = {
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"sadness":
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"fear":
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"anger":
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"nervousness": "Slow breathing and micro-actions reduce anxious energy.",
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"boredom":
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"grief":
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"love":
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"joy":
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"curiosity":
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"gratitude":
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"neutral":
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}
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COLOR_MAP = {
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"neutral": "#F5F5F5", "curiosity": "#E6EE9C",
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}
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# ----------------
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THRESHOLD_BASE = 0.30
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MIN_THRESHOLD = 0.10
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CLEAN_RE = re.compile(r"(https?://\S+)|(@\w+)|(#\w+)|[^a-zA-Z0-9\s']")
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@@ -100,8 +279,37 @@ def clean_text(s: str) -> str:
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s = re.sub(r"\s+", " ", s).strip()
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return s
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def augment_text(text: str, history=None) -> str:
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# ---------------- SQLite ----------------
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def get_conn():
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conn.commit()
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conn.close()
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# ----------------
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def load_goemotions_dataset():
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ds = load_dataset("google-research-datasets/go_emotions", "simplified")
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return ds, ds["train"].features["labels"].feature.names
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Y_train = mlb.fit_transform(y_train)
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clf = Pipeline([
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("tfidf", TfidfVectorizer(lowercase=True, ngram_range=(1,2), min_df=2, max_df=0.9, strip_accents="unicode")),
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("ovr", OneVsRestClassifier(
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])
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clf.fit(X_train, Y_train)
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joblib.dump({"version": MODEL_VERSION, "pipeline": clf, "mlb": mlb, "label_names": names}, MODEL_PATH)
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print("[ERROR] Model load/train:", e)
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CLASSIFIER, MLB, LABEL_NAMES = None, None, None
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def classify_text(text_augmented: str):
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if not CLASSIFIER: return []
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proba = CLASSIFIER.predict_proba([text_augmented])[0]
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bucket[app] = max(bucket.get(app, 0.0), p)
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return max(bucket, key=bucket.get) if bucket else "neutral"
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# ---------------- Advice
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def pick_advice_from_pool(emotion: str, pool: dict, last_tip: str = ""):
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tips_all = SUGGESTIONS.get(emotion, SUGGESTIONS["neutral"])
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entry = pool.get(emotion, {"unused": [], "last": ""})
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why = WHY_BY_EMOTION.get(emotion, WHY_BY_EMOTION["neutral"])
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return f"Try this now:\n• {tip}\n_(Why it helps: {why})_"
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def crisis_block(country):
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msg = CRISIS_NUMBERS.get(country, CRISIS_NUMBERS["Other / Not listed"])
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return f"💛 You matter. If you're in danger or thinking of harming yourself, please reach out now.\n\n{msg}"
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def chat_step(user_text, history, country, save_session, advice_pool):
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if user_text and CRISIS_RE.search(user_text):
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return crisis_block(country), "#FFD6E7", "neutral", "", advice_pool
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with gr.Blocks(title="🪞 MoodMirror+ — Text Emotion • Advice-only") as demo:
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style = gr.HTML("")
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gr.Markdown(
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with gr.Tabs():
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# Tab 1
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with gr.Tab("
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with gr.Row():
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country = gr.Dropdown(list(CRISIS_NUMBERS.keys()), value="Other / Not listed", label="Country")
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save_ok = gr.Checkbox(False, label="Save anonymized session")
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reply = format_reply(_emotion, tip)
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return chat_hist + [[None, reply]], "", _emotion, tip, _pool
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send.click(
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inputs=[msg, chat, country, save_ok, last_emotion, last_tip, advice_pool],
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outputs=[chat, style, last_emotion, last_tip, advice_pool],
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queue=True
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inputs=[msg, chat, country, save_ok, last_emotion, last_tip, advice_pool],
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outputs=[chat, style, last_emotion, last_tip, advice_pool],
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queue=True
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inputs=[chat, last_emotion, last_tip, advice_pool],
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outputs=[chat, style, last_emotion, last_tip, advice_pool],
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queue=True
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# Tab 2
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with gr.Tab("
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gr.Markdown(
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"#### 📟
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"
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"
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country_view = gr.Dropdown(
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choices=list(
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value="
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label="
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)
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crisis_info = gr.Markdown(value=
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def
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return
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country_view.change(
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gr.Markdown(
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"> ℹ️
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"
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)
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if __name__ == "__main__":
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# ================================
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# 🪞 MoodMirror+ — Text Emotion • Advice-only + brief intros & reasons
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# - Adds an English "Emergency numbers" tab by country
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# ================================
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import os
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import re
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re.I,
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)
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# (Original mapping kept for in-chat crisis block)
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CRISIS_NUMBERS = {
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"France": "📞 **3114** (Numéro national de prévention du suicide, 24/7)",
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"United States": "📞 **988** (Suicide & Crisis Lifeline, 24/7)",
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"Other / Not listed": "Call local emergency (**112/911**) or search “suicide hotline” for your country.",
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}
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# --------- English mapping used by the new tab (expanded) ----------
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CRISIS_NUMBERS_EN = {
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# Core set you already had
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"United States": "📞 **988** (Suicide & Crisis Lifeline, 24/7)",
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"Canada": "📞 **988** (Suicide Crisis Helpline, 24/7)",
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"United Kingdom": "📞 **116 123** (Samaritans, 24/7)",
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"Ireland": "📞 **116 123** (Samaritans Ireland, 24/7)",
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"France": "📞 **3114** (National Suicide Prevention number, 24/7)",
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"Australia": "📞 **13 11 14** (Lifeline, 24/7)",
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# Added countries (verified public resources)
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"Belgium": "📞 **1813** (Zelfmoordlijn, 24/7)",
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"Switzerland": "📞 **143** (La Main Tendue / Heart2Heart)",
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"Spain": "📞 **024** (Línea 024 — Atención a la conducta suicida, 24/7)",
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"Germany": "📞 **0800 111 0 111** / **0800 111 0 222** / **116 123** (TelefonSeelsorge, 24/7)",
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"Netherlands": "📞 **0800-0113** (free) or **113** (standard rate) — 113 Suicide Prevention",
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"Portugal": "📞 **213 544 545**, **912 802 669**, **963 524 660** (SOS Voz Amiga)",
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"New Zealand": "📞 **0508 828 865** (Suicide Crisis Helpline — TAUTOKO)",
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"India": "📞 **14416** (Tele MANAS, 24/7) or **1800-599-0019** (KIRAN)",
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"South Africa": "📞 **0800 567 567** (SADAG Suicide Crisis Helpline, 24/7)",
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# Fallback
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"Other / Not listed": "Call local emergency (**112/911**) or search “suicide hotline” + your country.",
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}
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# ---------------- Advice library (concise, actionable) ----------------
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SUGGESTIONS = {
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"sadness": [
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"Go for a 5-minute outside walk and name three colors you see.",
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"Write what hurts, then add one thing you still care about.",
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"Take a warm shower and focus on the feeling on your shoulders.",
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"Message a safe person: “Can I vent for 2 minutes?”",
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"Eat something simple and drink a big glass of water.",
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"Play one song that matches your mood — don’t hide it.",
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"Wrap yourself in a blanket and slow your exhale for 60 seconds.",
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"List three small things that kept you going today.",
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"Tidy one tiny area (corner of the desk or sink).",
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"Watch something gentle or nostalgic for 10 minutes.",
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"Place a hand on your chest and repeat: “This will pass.”",
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"Write a note to your future self: “You made it through today.”",
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],
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"fear": [
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"Do 5-4-3-2-1 grounding: 5 see, 4 feel, 3 hear, 2 smell, 1 taste.",
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"Make your exhale longer than your inhale for eight breaths.",
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"Turn on a light or soft music to signal safety to your body.",
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"Name the fear out loud in one sentence.",
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"Hold something cold in your hand for 30 seconds.",
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"Tell yourself: “Just the next minute — that’s all.”",
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"Stand up and shake out your hands and arms.",
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"Write the worst case, then the most likely case beside it.",
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"Walk while counting your steps slowly to 100.",
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"Mute news/scrolling for the next 30 minutes.",
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"Sit with back supported and feet flat; feel the contact points.",
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"Repeat softly: “This feeling is temporary.”",
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],
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"anger": [
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"Take space before replying; set a 10-minute timer.",
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"Do ten slow exhales through pursed lips.",
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"Write an uncensored note and delete it afterward.",
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"Splash cool water on your face or wrists.",
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"Walk fast for five minutes or climb one set of stairs.",
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"Name the crossed boundary and craft one calm sentence.",
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"Squeeze then release your fists ten times.",
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"Clean a small area to discharge energy.",
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"Postpone the decision until you feel steady again.",
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"Say: “I’m not ready to talk yet; I’ll come back later.”",
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"Ask yourself: “What hurt sits under this anger?”",
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"Drop your shoulders and unclench your jaw.",
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],
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"nervousness": [
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"4-7-8 breathing: in 4s, hold 7s, out 8s (four rounds).",
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"Relax your jaw and lower your shoulders.",
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"Write worries down; cross out what you can’t control.",
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"Pick one tiny action you can finish in five minutes.",
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"Trace a square with your finger; breathe in on each side.",
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"Walk while matching steps to slower breaths.",
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"Sit by daylight or open a window for fresh air.",
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"Say: “I can do this one step at a time.”",
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"Pause caffeine for the next few hours.",
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"Give yourself a 2-minute pause — eyes on one calm point.",
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"Hold a warm mug and notice the heat.",
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"Stretch your arms overhead and widen your posture.",
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],
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"boredom": [
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"Set a 2-minute timer and start anything small.",
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"Change your soundtrack — put on one new song.",
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"Shift a few objects on your desk for a new view.",
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"Read one paragraph on a random topic.",
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"Doodle or hum for 90 seconds without judging it.",
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"Step outside; look up and find three shapes in the sky.",
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"Write five ideas quickly without editing.",
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"Do 15 jumping jacks or a quick stretch.",
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"Clean your phone screen or keyboard.",
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"Try a different drink or snack.",
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| 147 |
+
"Learn one keyboard shortcut you’ll use today.",
|
| 148 |
+
"Send a simple “how are you?” to someone.",
|
| 149 |
+
],
|
| 150 |
+
"grief": [
|
| 151 |
+
"Hold a photo or object and say their name softly.",
|
| 152 |
+
"Drink water and eat something — your body grieves too.",
|
| 153 |
+
"Write a short letter to them about today.",
|
| 154 |
+
"Rest without guilt — sorrow is heavy work.",
|
| 155 |
+
"Share one memory you want to keep vivid.",
|
| 156 |
+
"Let tears come when they need to.",
|
| 157 |
+
"Light a candle and sit quietly for two minutes.",
|
| 158 |
+
"Walk somewhere meaningful and notice what rises.",
|
| 159 |
+
"Create a small ritual to honor them (song, place, phrase).",
|
| 160 |
+
"Plan one kind thing for yourself this week.",
|
| 161 |
+
"Say: “Missing you means I loved you.”",
|
| 162 |
+
"Plant your feet and breathe into your belly.",
|
| 163 |
+
],
|
| 164 |
+
"love": [
|
| 165 |
+
"Send a kind message without expecting a reply.",
|
| 166 |
+
"Note three things you appreciate about someone close.",
|
| 167 |
+
"Offer yourself one gentle act you needed today.",
|
| 168 |
+
"Listen fully to someone for one uninterrupted minute.",
|
| 169 |
+
"Give a sincere compliment to a stranger.",
|
| 170 |
+
"Prepare something with care for someone you value.",
|
| 171 |
+
"Say “thank you” out loud for one small thing.",
|
| 172 |
+
"Ask a caring question and wait for the answer.",
|
| 173 |
+
"Write what love means to you in three lines.",
|
| 174 |
+
"Plan a tiny gesture for tomorrow.",
|
| 175 |
+
"Look at your face kindly in the mirror for 10 seconds.",
|
| 176 |
+
"Let yourself accept help today.",
|
| 177 |
+
],
|
| 178 |
+
"joy": [
|
| 179 |
+
"Pause and take three slow breaths to savor this.",
|
| 180 |
+
"Capture it — photo, note, or voice memo.",
|
| 181 |
+
"Tell someone why you feel good right now.",
|
| 182 |
+
"Move to music for one song.",
|
| 183 |
+
"Notice where the joy sits in your body.",
|
| 184 |
+
"Prepare a small treat to celebrate.",
|
| 185 |
+
"Write one line starting with “I’m glad that…”.",
|
| 186 |
+
"Do one kind act while you feel resourced.",
|
| 187 |
+
"Enjoy one minute of quiet appreciation.",
|
| 188 |
+
"Plan a tiny celebration later today.",
|
| 189 |
+
"Share a smile with someone nearby.",
|
| 190 |
+
"Thank yourself for the steps that led here.",
|
| 191 |
+
],
|
| 192 |
+
"curiosity": [
|
| 193 |
+
"Search one concept and read just the first paragraph.",
|
| 194 |
+
"Ask a question you’ve never asked a friend.",
|
| 195 |
+
"Watch a “how does X work?” video for 3 minutes.",
|
| 196 |
+
"Write three quick “what if…?” ideas.",
|
| 197 |
+
"Take apart a small idea or object (safely) and observe.",
|
| 198 |
+
"Teach someone one thing you learned today.",
|
| 199 |
+
"Open a random article and summarize it in one line.",
|
| 200 |
+
"Try a new route or viewpoint in your space.",
|
| 201 |
+
"Learn one new word and use it once.",
|
| 202 |
+
"List five topics you’d like to explore.",
|
| 203 |
+
"Read one thread in a community you care about.",
|
| 204 |
+
"Sketch a simple diagram of an idea.",
|
| 205 |
+
],
|
| 206 |
+
"gratitude": [
|
| 207 |
+
"List three tiny things that made today easier.",
|
| 208 |
+
"Thank someone by name for something specific.",
|
| 209 |
+
"Notice an everyday object and appreciate its help.",
|
| 210 |
+
"Take a photo of a small comfort.",
|
| 211 |
+
"Write “I’m lucky that…” and finish it once.",
|
| 212 |
+
"Send a short “thinking of you”.",
|
| 213 |
+
"Savor your next sip or bite with attention.",
|
| 214 |
+
"Name one privilege you have today.",
|
| 215 |
+
"Say thank you silently to your body.",
|
| 216 |
+
"Share one good thing with a friend.",
|
| 217 |
+
"Keep a short gratitude note in your phone.",
|
| 218 |
+
"Place a small reminder where you’ll see it tomorrow.",
|
| 219 |
+
],
|
| 220 |
+
"neutral": [
|
| 221 |
+
"Take one slow breath and relax your hands.",
|
| 222 |
+
"Notice a color, a texture, and a sound around you.",
|
| 223 |
+
"Plan one tiny task to finish today.",
|
| 224 |
+
"Drink a glass of water mindfully.",
|
| 225 |
+
"Stand, stretch, and roll your shoulders.",
|
| 226 |
+
"Step outside for two minutes of fresh air.",
|
| 227 |
+
"Wipe your screen or desk for a reset.",
|
| 228 |
+
"Organize three items in your space.",
|
| 229 |
+
"Set a 10-minute timer to focus on one thing.",
|
| 230 |
+
"Do a gentle 30-second neck stretch.",
|
| 231 |
+
"Check your posture; support your back.",
|
| 232 |
+
"Open a window and take three breaths.",
|
| 233 |
+
],
|
| 234 |
}
|
| 235 |
|
| 236 |
+
# One-line reasons
|
| 237 |
WHY_BY_EMOTION = {
|
| 238 |
+
"sadness": "Small sensory and connection cues can ease low mood and restore momentum.",
|
| 239 |
+
"fear": "Grounding + longer exhales calm the threat system and signal safety.",
|
| 240 |
+
"anger": "Space + movement lower adrenaline so you can respond, not react.",
|
| 241 |
+
"nervousness": "Slow breathing and micro-actions reduce anxious energy and create control.",
|
| 242 |
+
"boredom": "Novelty and tiny starts re-engage attention and kick-off motivation.",
|
| 243 |
+
"grief": "Rituals and gentle care help your body carry love and loss together.",
|
| 244 |
+
"love": "Expressing and receiving care strengthens bonds and self-kindness.",
|
| 245 |
+
"joy": "Savoring and sharing consolidate positive memories and resilience.",
|
| 246 |
+
"curiosity": "Small explorations feed learning circuits and open perspective.",
|
| 247 |
+
"gratitude": "Noticing support shifts attention toward resources and strengths.",
|
| 248 |
+
"neutral": "Simple body care keeps your baseline steady for the rest of the day.",
|
| 249 |
}
|
| 250 |
|
| 251 |
COLOR_MAP = {
|
|
|
|
| 256 |
"neutral": "#F5F5F5", "curiosity": "#E6EE9C",
|
| 257 |
}
|
| 258 |
|
| 259 |
+
# Map 28 GoEmotions -> UI buckets
|
| 260 |
+
GOEMO_TO_APP = {
|
| 261 |
+
"admiration": "gratitude", "amusement": "joy", "anger": "anger", "annoyance": "anger",
|
| 262 |
+
"approval": "gratitude", "caring": "love", "confusion": "nervousness",
|
| 263 |
+
"curiosity": "curiosity", "desire": "joy", "disappointment": "sadness",
|
| 264 |
+
"disapproval": "anger", "disgust": "anger", "embarrassment": "nervousness",
|
| 265 |
+
"excitement": "joy", "fear": "fear", "gratitude": "gratitude", "grief": "grief",
|
| 266 |
+
"joy": "joy", "love": "love", "nervousness": "nervousness", "optimism": "joy",
|
| 267 |
+
"pride": "joy", "realization": "neutral", "relief": "gratitude", "remorse": "grief",
|
| 268 |
+
"sadness": "sadness", "surprise": "neutral", "neutral": "neutral",
|
| 269 |
+
}
|
| 270 |
|
| 271 |
+
# ---------------- Preprocessing & thresholds (text) ----------------
|
| 272 |
THRESHOLD_BASE = 0.30
|
| 273 |
MIN_THRESHOLD = 0.10
|
| 274 |
CLEAN_RE = re.compile(r"(https?://\S+)|(@\w+)|(#\w+)|[^a-zA-Z0-9\s']")
|
|
|
|
| 279 |
s = re.sub(r"\s+", " ", s).strip()
|
| 280 |
return s
|
| 281 |
|
| 282 |
+
EMOJI_HINTS = {"😭": "sadness", "😡": "anger", "🥰": "love", "😨": "fear", "😴": "boredom"}
|
| 283 |
+
NEGATION_HINTS_EN = {
|
| 284 |
+
"not happy": "sadness", "not ok": "sadness", "no energy": "boredom",
|
| 285 |
+
"can't focus": "nervousness", "cannot focus": "nervousness"
|
| 286 |
+
}
|
| 287 |
+
HINTS_FR = {
|
| 288 |
+
"pas bien": "sadness", "triste": "sadness", "j'ai peur": "fear",
|
| 289 |
+
"angoisse": "nervousness", "anxieux": "nervousness",
|
| 290 |
+
"fatigué": "sadness", "épuisé": "sadness",
|
| 291 |
+
}
|
| 292 |
+
|
| 293 |
def augment_text(text: str, history=None) -> str:
|
| 294 |
+
t = clean_text(text or "")
|
| 295 |
+
hints = []
|
| 296 |
+
for k in EMOJI_HINTS:
|
| 297 |
+
if k in (text or ""):
|
| 298 |
+
hints.append(EMOJI_HINTS[k])
|
| 299 |
+
for k in NEGATION_HINTS_EN:
|
| 300 |
+
if k in t:
|
| 301 |
+
hints.append(NEGATION_HINTS_EN[k])
|
| 302 |
+
lt = (text or "").lower()
|
| 303 |
+
for k in HINTS_FR:
|
| 304 |
+
if k in lt:
|
| 305 |
+
hints.append(HINTS_FR[k])
|
| 306 |
+
if history and len(t.split()) < 8:
|
| 307 |
+
prev_user = history[-1][0] if history and history[-1] else ""
|
| 308 |
+
if isinstance(prev_user, str) and prev_user:
|
| 309 |
+
t = t + " " + clean_text(prev_user)
|
| 310 |
+
if hints:
|
| 311 |
+
t = t + " " + " ".join([f"emo_{h}" for h in hints])
|
| 312 |
+
return t
|
| 313 |
|
| 314 |
# ---------------- SQLite ----------------
|
| 315 |
def get_conn():
|
|
|
|
| 331 |
conn.commit()
|
| 332 |
conn.close()
|
| 333 |
|
| 334 |
+
# ---------------- Text model: GoEmotions dataset-only ----------------
|
| 335 |
def load_goemotions_dataset():
|
| 336 |
ds = load_dataset("google-research-datasets/go_emotions", "simplified")
|
| 337 |
return ds, ds["train"].features["labels"].feature.names
|
|
|
|
| 347 |
Y_train = mlb.fit_transform(y_train)
|
| 348 |
clf = Pipeline([
|
| 349 |
("tfidf", TfidfVectorizer(lowercase=True, ngram_range=(1,2), min_df=2, max_df=0.9, strip_accents="unicode")),
|
| 350 |
+
("ovr", OneVsRestClassifier(
|
| 351 |
+
LogisticRegression(solver="saga", max_iter=1000, class_weight="balanced"),
|
| 352 |
+
n_jobs=-1
|
| 353 |
+
))
|
| 354 |
])
|
| 355 |
clf.fit(X_train, Y_train)
|
| 356 |
joblib.dump({"version": MODEL_VERSION, "pipeline": clf, "mlb": mlb, "label_names": names}, MODEL_PATH)
|
|
|
|
| 362 |
print("[ERROR] Model load/train:", e)
|
| 363 |
CLASSIFIER, MLB, LABEL_NAMES = None, None, None
|
| 364 |
|
| 365 |
+
# ---------------- Inference: TEXT ----------------
|
| 366 |
def classify_text(text_augmented: str):
|
| 367 |
if not CLASSIFIER: return []
|
| 368 |
proba = CLASSIFIER.predict_proba([text_augmented])[0]
|
|
|
|
| 382 |
bucket[app] = max(bucket.get(app, 0.0), p)
|
| 383 |
return max(bucket, key=bucket.get) if bucket else "neutral"
|
| 384 |
|
| 385 |
+
# ---------------- Advice selection ----------------
|
| 386 |
def pick_advice_from_pool(emotion: str, pool: dict, last_tip: str = ""):
|
| 387 |
tips_all = SUGGESTIONS.get(emotion, SUGGESTIONS["neutral"])
|
| 388 |
entry = pool.get(emotion, {"unused": [], "last": ""})
|
|
|
|
| 399 |
why = WHY_BY_EMOTION.get(emotion, WHY_BY_EMOTION["neutral"])
|
| 400 |
return f"Try this now:\n• {tip}\n_(Why it helps: {why})_"
|
| 401 |
|
| 402 |
+
# ---------------- Replies ----------------
|
| 403 |
def crisis_block(country):
|
| 404 |
msg = CRISIS_NUMBERS.get(country, CRISIS_NUMBERS["Other / Not listed"])
|
| 405 |
return f"💛 You matter. If you're in danger or thinking of harming yourself, please reach out now.\n\n{msg}"
|
| 406 |
|
| 407 |
+
def crisis_block_en(country):
|
| 408 |
+
msg = CRISIS_NUMBERS_EN.get(country, CRISIS_NUMBERS_EN["Other / Not listed"])
|
| 409 |
+
return "💛 You matter. If you're in danger or thinking of harming yourself, please reach out now.\n\n" + msg
|
| 410 |
+
|
| 411 |
def chat_step(user_text, history, country, save_session, advice_pool):
|
| 412 |
if user_text and CRISIS_RE.search(user_text):
|
| 413 |
return crisis_block(country), "#FFD6E7", "neutral", "", advice_pool
|
|
|
|
| 429 |
|
| 430 |
with gr.Blocks(title="🪞 MoodMirror+ — Text Emotion • Advice-only") as demo:
|
| 431 |
style = gr.HTML("")
|
| 432 |
+
gr.Markdown(
|
| 433 |
+
"### 🪞 MoodMirror+ — Emotion-aware advice (text-only)\n"
|
| 434 |
+
"Classifier trained on GoEmotions (dataset-only). Each message is analysed anew.\n\n"
|
| 435 |
+
"_Not medical advice. If unsafe, please reach out for help._"
|
| 436 |
+
)
|
| 437 |
|
| 438 |
with gr.Tabs():
|
| 439 |
+
# ---- Tab 1: Advice (chat) ----
|
| 440 |
+
with gr.Tab("Advice"):
|
| 441 |
with gr.Row():
|
| 442 |
country = gr.Dropdown(list(CRISIS_NUMBERS.keys()), value="Other / Not listed", label="Country")
|
| 443 |
save_ok = gr.Checkbox(False, label="Save anonymized session")
|
|
|
|
| 465 |
reply = format_reply(_emotion, tip)
|
| 466 |
return chat_hist + [[None, reply]], "", _emotion, tip, _pool
|
| 467 |
|
| 468 |
+
send.click(
|
| 469 |
+
respond,
|
| 470 |
inputs=[msg, chat, country, save_ok, last_emotion, last_tip, advice_pool],
|
| 471 |
outputs=[chat, style, last_emotion, last_tip, advice_pool],
|
| 472 |
+
queue=True
|
| 473 |
+
)
|
| 474 |
+
msg.submit(
|
| 475 |
+
respond,
|
| 476 |
inputs=[msg, chat, country, save_ok, last_emotion, last_tip, advice_pool],
|
| 477 |
outputs=[chat, style, last_emotion, last_tip, advice_pool],
|
| 478 |
+
queue=True
|
| 479 |
+
)
|
| 480 |
+
regen.click(
|
| 481 |
+
new_advice,
|
| 482 |
inputs=[chat, last_emotion, last_tip, advice_pool],
|
| 483 |
outputs=[chat, style, last_emotion, last_tip, advice_pool],
|
| 484 |
+
queue=True
|
| 485 |
+
)
|
| 486 |
|
| 487 |
+
# ---- Tab 2: Emergency numbers (EN) ----
|
| 488 |
+
with gr.Tab("Emergency numbers"):
|
| 489 |
gr.Markdown(
|
| 490 |
+
"#### 📟 Emergency numbers by country\n"
|
| 491 |
+
"Select your country to see the recommended crisis line. "
|
| 492 |
+
"If you’re in immediate danger, call local emergency services (**112/911**) right away."
|
| 493 |
)
|
| 494 |
|
| 495 |
country_view = gr.Dropdown(
|
| 496 |
+
choices=list(CRISIS_NUMBERS_EN.keys()),
|
| 497 |
+
value="United States",
|
| 498 |
+
label="Country"
|
| 499 |
)
|
| 500 |
+
crisis_info = gr.Markdown(value=crisis_block_en("United States"))
|
| 501 |
|
| 502 |
+
def show_crisis_for_country_en(c):
|
| 503 |
+
return crisis_block_en(c)
|
| 504 |
|
| 505 |
+
country_view.change(show_crisis_for_country_en, inputs=country_view, outputs=crisis_info)
|
| 506 |
|
| 507 |
gr.Markdown(
|
| 508 |
+
"> ℹ️ Numbers may change. If a line doesn’t work or your country isn’t listed, "
|
| 509 |
+
"call local emergency services (**112/911**) or search **“suicide hotline” + your country**."
|
| 510 |
)
|
| 511 |
|
| 512 |
if __name__ == "__main__":
|