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README.md

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----
-title: Serein Mind
-sdk: gradio
-emoji: 🦀
-colorFrom: indigo
-colorTo: blue
-pinned: true
-sdk_version: 5.16.0
----
-# 🧠 Gradio-Based Mental Health App
-
-A mental health support application built using **Gradio**. This app provides multiple interactive features to help users manage their mental health.
-
----
-
-## 🚀 Features
-- 📝 **Blog Corner**: Share anonymous posts & upvote content.
-- 📊 **Mood Tracker**: Log daily emotions & view trends.
-- 🎵 **Music Therapy**: AI-powered song recommendations based on mood.
-- 🎨 **Art Therapy**: Express emotions through a digital drawing canvas.
-- 🧘 **Meditation & Yoga**: Guided relaxation & mindfulness sessions.
-- 💬 **Community Sessions**: Live chat & moderated group discussions.
-
----
-
-## ⚙️ **Setup Instructions**
-
-### **1️⃣ Install Dependencies**
-Make sure you have Python installed (version **3.8 or higher**).  
-Then, install the required dependencies:
-
-```bash
-pip install -r requirements.txt
+# Gradio-Based Mental Health App
+A mental health support application built using Gradio.
+
+## Features
+- 📝 Blog Corner: Anonymous posts with upvotes/comments
+- 📊 Mood Tracker: Log emotions, visualize trends
+- 🎵 Music Therapy: AI-based song recommendations
+- 🎨 Art Therapy: Digital drawing canvas
+- 🧘 Meditation & Yoga: Guided relaxation sessions
+- 💬 Community Sessions: Live chat & group discussions
+
+## Setup
+1. Install dependencies: `pip install gradio pandas`
+2. Run the app: `python app.py`

modules/art_therapy.py

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+import gradio as gr
+
+def draw_canvas():
+    return "Save function not implemented yet!"
+
+def main():
+    return gr.Interface(
+        fn=draw_canvas,
+        inputs=gr.Sketchpad(),
+        outputs="text"
+    )

modules/blog_corner.py

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+import gradio as gr
+import sqlite3
+
+DB_FILE = "blog.db"
+
+def create_table():
+    conn = sqlite3.connect(DB_FILE)
+    cursor = conn.cursor()
+    cursor.execute("CREATE TABLE IF NOT EXISTS posts (id INTEGER PRIMARY KEY, content TEXT, upvotes INTEGER)")
+    conn.commit()
+    conn.close()
+
+def add_post(content):
+    conn = sqlite3.connect(DB_FILE)
+    cursor = conn.cursor()
+    cursor.execute("INSERT INTO posts (content, upvotes) VALUES (?, ?)", (content, 0))
+    conn.commit()
+    conn.close()
+    return "Post added successfully!"
+
+def get_posts():
+    conn = sqlite3.connect(DB_FILE)
+    cursor = conn.cursor()
+    cursor.execute("SELECT id, content, upvotes FROM posts ORDER BY upvotes DESC")
+    posts = cursor.fetchall()
+    conn.close()
+    return "\n\n".join([f"📌 {post[1]} - 👍 {post[2]}" for post in posts])
+
+def main():
+    create_table()
+    return gr.Interface(
+        fn=add_post,
+        inputs=gr.Textbox(label="Share your thoughts anonymously"),
+        outputs=gr.Text(label="Status"),
+        live=True
+    ).update(fn=get_posts, outputs=gr.Textbox(label="Community Posts"))

modules/community_sessions.py

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+import gradio as gr
+import sqlite3
+
+DB_FILE = "community_chat.db"
+
+def create_chat_table():
+    conn = sqlite3.connect(DB_FILE)
+    cursor = conn.cursor()
+    cursor.execute("CREATE TABLE IF NOT EXISTS chat (message TEXT)")
+    conn.commit()
+    conn.close()
+
+def add_message(message):
+    conn = sqlite3.connect(DB_FILE)
+    cursor = conn.cursor()
+    cursor.execute("INSERT INTO chat (message) VALUES (?)", (message,))
+    conn.commit()
+    conn.close()
+    return "Message sent!"
+
+def get_messages():
+    conn = sqlite3.connect(DB_FILE)
+    cursor = conn.cursor()
+    cursor.execute("SELECT message FROM chat")
+    messages = cursor.fetchall()
+    conn.close()
+    return "\n".join([f"🗨 {msg[0]}" for msg in messages])
+
+def main():
+    create_chat_table()
+    return gr.Interface(
+        fn=add_message,
+        inputs=gr.Textbox(label="Enter your message"),
+        outputs="text",
+        live=True
+    ).update(fn=get_messages, outputs=gr.Textbox(label="Live Chat"))

modules/meditation_yoga.py

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+import gradio as gr
+
+YOGA_VIDEOS = {
+    "Beginner Meditation": "https://www.youtube.com/watch?v=inpok4MKVLM",
+    "Yoga for Relaxation": "https://www.youtube.com/watch?v=v7AYKMP6rOE",
+}
+
+def get_video(choice):
+    return YOGA_VIDEOS[choice]
+
+def main():
+    return gr.Interface(
+        fn=get_video,
+        inputs=gr.Dropdown(list(YOGA_VIDEOS.keys()), label="Choose a guided session"),
+        outputs=gr.Video(),
+    )

modules/mood_tracker.py

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+import gradio as gr
+import pandas as pd
+import datetime
+
+MOOD_OPTIONS = ["😀 Happy", "😐 Neutral", "😢 Sad", "😠 Angry", "😞 Stressed"]
+LOG_FILE = "mood_logs.csv"
+
+def log_mood(mood):
+    with open(LOG_FILE, "a") as file:
+        file.write(f"{datetime.date.today()},{mood}\n")
+    return "Mood logged successfully!"
+
+def get_mood_trends():
+    try:
+        df = pd.read_csv(LOG_FILE, names=["Date", "Mood"])
+        mood_counts = df["Mood"].value_counts().to_dict()
+        return mood_counts
+    except:
+        return "No mood data available."
+
+def main():
+    return gr.Interface(
+        fn=log_mood,
+        inputs=gr.Radio(MOOD_OPTIONS, label="How are you feeling today?"),
+        outputs="text",
+        live=True
+    ).update(fn=get_mood_trends, outputs="label")

modules/music_therapy.py

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+import gradio as gr
+
+MUSIC_RECOMMENDATIONS = {
+    "😀 Happy": "https://www.youtube.com/watch?v=ZbZSe6N_BXs",
+    "😐 Neutral": "https://www.youtube.com/watch?v=JGwWNGJdvx8",
+    "😢 Sad": "https://www.youtube.com/watch?v=09R8_2nJtjg",
+    "😠 Angry": "https://www.youtube.com/watch?v=YQHsXMglC9A",
+    "😞 Stressed": "https://www.youtube.com/watch?v=VJ2rlci9PE0"
+}
+
+def recommend_music(mood):
+    return MUSIC_RECOMMENDATIONS[mood]
+
+def main():
+    return gr.Interface(
+        fn=recommend_music,
+        inputs=gr.Radio(list(MUSIC_RECOMMENDATIONS.keys()), label="Select your mood"),
+        outputs=gr.Video(),
+    )

requirements.txt

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-gradio
-pandas
-matplotlib
+matplotlib