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app.py

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+import streamlit as st
+from transformers import pipeline
+from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
+import nltk
+import re
+
+# -------------------------
+# Safety Disclaimer
+# -------------------------
+DISCLAIMER = """
+⚠️ I’m not a therapist. I provide emotional support, not medical advice.
+If you're in crisis, please seek professional help immediately.
+India Helpline: AASRA 9820466726
+US: Call or text 988
+"""
+
+# -------------------------
+# Load NLP Models
+# -------------------------
+@st.cache_resource
+def load_models():
+    sentiment_model = pipeline("sentiment-analysis")
+    vader = SentimentIntensityAnalyzer()
+    return sentiment_model, vader
+
+sentiment_model, vader = load_models()
+
+# -------------------------
+# Crisis Detection
+# -------------------------
+CRISIS_KEYWORDS = [
+    "suicide", "kill myself", "end my life",
+    "self harm", "die", "hopeless", "no reason to live"
+]
+
+def detect_crisis(text):
+    text_lower = text.lower()
+    return any(keyword in text_lower for keyword in CRISIS_KEYWORDS)
+
+# -------------------------
+# Mood Detection
+# -------------------------
+def detect_mood(text):
+    if detect_crisis(text):
+        return "critical"
+    
+    vader_score = vader.polarity_scores(text)['compound']
+    
+    if vader_score >= 0.5:
+        return "positive"
+    elif vader_score <= -0.5:
+        if "anxious" in text.lower() or "panic" in text.lower():
+            return "anxious"
+        return "sad"
+    elif "stress" in text.lower() or "exam" in text.lower():
+        return "stressed"
+    else:
+        return "neutral"
+
+# -------------------------
+# Empathetic Responses
+# -------------------------
+def generate_response(mood, user_text):
+    
+    if mood == "critical":
+        return (
+            "I'm really sorry you're feeling this much pain. "
+            "You deserve support right now. Please consider reaching out to "
+            "AASRA (India: 9820466726) or 988 (US). "
+            "If you're in immediate danger, call emergency services. "
+            "You're not alone, even if it feels that way."
+        )
+
+    elif mood == "sad":
+        return (
+            "I hear that you're feeling low. It’s completely okay to feel this way. "
+            "Would you like to share what’s weighing on you? "
+            "Even small steps count. You’ve handled difficult days before."
+        )
+
+    elif mood == "anxious":
+        return (
+            "It sounds like you're feeling anxious. That can be really overwhelming. "
+            "Let’s try something simple: inhale for 4 seconds, hold for 7, "
+            "exhale for 8. Repeat 3 times. "
+            "Your mind deserves calm."
+        )
+
+    elif mood == "stressed":
+        return (
+            "I hear you're feeling stressed—maybe exams or placements? "
+            "Break it into small tasks. Study 25 minutes, rest 5. "
+            "You’ve tackled tough assignments before—you’ve got this!"
+        )
+
+    elif mood == "positive":
+        return (
+            "That’s great to hear! 😊 "
+            "Keep nurturing what’s working for you. "
+            "Would you like a quick productivity boost or gratitude exercise?"
+        )
+
+    else:
+        return (
+            "Thanks for sharing. How are you feeling today? "
+            "You can talk freely here—this space is for you."
+        )
+
+# -------------------------
+# Streamlit UI
+# -------------------------
+st.set_page_config(page_title="Mental Health Companion", page_icon="🧠")
+
+st.title("🧠 Student Mental Health Companion")
+st.write(DISCLAIMER)
+
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+user_input = st.text_input("How are you feeling today?")
+
+if user_input:
+    mood = detect_mood(user_input)
+    response = generate_response(mood, user_input)
+    
+    st.session_state.chat_history.append(("You", user_input))
+    st.session_state.chat_history.append(("Companion", response))
+
+for sender, message in st.session_state.chat_history:
+    if sender == "You":
+        st.markdown(f"**You:** {message}")
+    else:
+        st.markdown(f"**Companion:** {message}")

requirement.txt

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+streamlit
+transformers
+torch
+nltk
+vaderSentiment