Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import random
+import requests
+from groq import Groq
+from datetime import datetime
+
+# Initialize the sentiment analysis pipeline
+pipe = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion")
+
+# Initialize Groq client
+client = Groq(api_key="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")
+
+# Relaxing music files
+relaxing_music = {
+    "Surah Ad-duha": "https://server11.mp3quran.net/yasser/093.mp3",
+    "Surah Rehman": "https://server7.mp3quran.net/basit/Almusshaf-Al-Mojawwad/055.mp3",
+    "Surah Insan": "https://server6.mp3quran.net/qtm/076.mp3",
+    "Surah Takweer": "https://server10.mp3quran.net/jleel/081.mp3",
+    "Surah Qasas": "https://server10.mp3quran.net/jleel/028.mp3"
+}
+
+# Static list of coping strategies
+coping_strategies = [
+    "Practice deep breathing exercises for 5 minutes.",
+    "Take a short walk and focus on your surroundings.",
+    "Write down three things you're grateful for today.",
+    "Try a mindfulness meditation session for 10 minutes.",
+    "Listen to calming music or nature sounds.",
+     "Take a moment to celebrate! Reflect on what made you happy. ",
+     "Trust in Allah’s plan: 'And whoever puts their trust in Allah, He will be enough for them",
+    "Face your fears with courage. Remember: 'Fear not, for indeed, I am with you both; I hear and I see.",
+     
+]
+
+# Function to return a random coping strategy
+def coping_strategy():
+    return random.choice(coping_strategies)
+
+# Function to fetch motivational quotes from ZenQuotes API
+def daily_motivation():
+    url = "https://zenquotes.io/api/random"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        quote = data[0]['q']
+        author = data[0]['a']
+        return f"{quote} - {author}"
+    else:
+        return "Could not fetch a motivational quote at the moment."
+
+# Track if a chat has started and detected mood
+chat_started = False
+detected_mood = None  
+
+# Function to analyze mood using sentiment analysis
+def analyze_mood(text):
+    global chat_started, detected_mood
+    chat_started = True
+    result = pipe(text)[0]
+    detected_mood = result['label'].capitalize()
+    return f"I sense you're feeling {detected_mood.lower()}."
+
+# Function to generate a response using Groq's LLaMA model
+def groq_chat(text):
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "system",
+                    "content": "You’re a compassionate and knowledgeable medical health advisor..."
+                },
+                {"role": "user", "content": text}
+            ],
+            model="llama3-8b-8192",
+        )
+        return chat_completion.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Function to play relaxing music
+def play_music(music_choice):
+    music_url = relaxing_music[music_choice]
+    return music_url
+
+# Function to handle chat responses
+def handle_chat(text):
+    bot_response = groq_chat(text)
+    return [(text, bot_response)]
+
+# Function to interpret quiz results
+def interpret_results(answers):
+    # Answer index: 
+    # 0-3: Non-distress related (0 points each)
+    # 4-7: Distress related (points based on severity)
+
+    # Distress question answers
+    distress_answers = answers[4:8]
+    
+    # Calculate distress score
+    distress_score = 0
+    for answer in distress_answers:
+        if answer == "More than two weeks":
+            distress_score += 3
+        elif answer == "More than a week":
+            distress_score += 2
+        elif answer == "A few days but less than a week":
+            distress_score += 1
+
+    # Percentage calculation
+    percentage = min(distress_score / 12 * 100, 100)  # Assuming max score is 12
+
+    # Interpret current situation
+    if percentage > 70:
+        situation = "High distress level. Symptoms are significantly impacting your daily life."
+    elif percentage > 40:
+        situation = "Moderate distress level. Some symptoms are affecting your daily activities."
+    else:
+        situation = "Low distress level. You seem to be managing well, but stay mindful."
+
+    # Suggestions
+    if percentage > 70:
+        suggestions = "It may be beneficial to seek professional help. Consider talking to a mental health counselor or therapist."
+    elif percentage > 40:
+        suggestions = "Try incorporating stress management techniques into your routine. Reach out to support networks or consider self-help resources."
+    else:
+        suggestions = "Continue with your current coping strategies and maintain a healthy routine. Keep track of any changes in your mental state."
+
+    return f"**Percentage Level:** {percentage:.2f}%\n\n**Current Situation:** {situation}\n\n**Suggestions:** {suggestions}"
+
+# Initialize a list to store journal entries
+journal_entries = []
+
+# Function to save the journal entry with a timestamp
+def save_journal(entry):
+    if entry.strip():
+        # Get the current date and time
+        timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        
+        # Append the entry to the list with the timestamp
+        journal_entries.append(f"{timestamp} - {entry}")
+        
+        # Return all entries as a single string, each entry on a new line
+        return "\n\n".join(journal_entries)
+    else:
+        return "Please write something to save."
+
+# Gradio UI components
+with gr.Blocks() as demo:
+    gr.Markdown("#  <div style='text-align:center;'>🧘MindfulMate</div>\n\n**<div style='text-align:center;'>Be present, be peaceful</div>**", elem_id="header")
+
+
+    with gr.Tabs():
+        # Tab 1: Chat with MindfulMate
+        with gr.Tab("Chat"):
+            with gr.Row():
+                # Sidebar for music, coping strategies, and motivation
+                with gr.Column(scale=1):
+                    music_choice = gr.Dropdown(choices=list(relaxing_music.keys()), label="Choose the Peace")
+                    play_music_btn = gr.Button("Play")
+                    audio_output = gr.Audio(label="Now Playing", autoplay=True, interactive=False)
+
+                    options = gr.Dropdown(["Get Coping Strategy", "Daily Motivation"], label="Choose an option")
+                    mood_output = gr.Textbox(label="Result", interactive=False)
+
+                    # Handle coping strategy and daily motivation
+                    options.change(fn=lambda opt: coping_strategy() if opt == "Get Coping Strategy" else daily_motivation(), 
+                                   inputs=options, outputs=mood_output)
+                    play_music_btn.click(fn=play_music, inputs=music_choice, outputs=audio_output)
+
+                # Main Chat Area
+                with gr.Column(scale=4):
+                    chatbot = gr.Chatbot(label="Chat with MindfulMate")
+                    with gr.Row():
+                        text_input = gr.Textbox(label="Feel free to share what's in your mind...", scale=3)
+                        voice_input = gr.Audio(type="filepath", label="Speak", scale=1)
+                    submit_btn = gr.Button("Submit")
+
+                    # Corrected click function to return the correct format
+                    submit_btn.click(fn=lambda text: (handle_chat(text), analyze_mood(text)),
+                                     inputs=text_input, outputs=[chatbot, mood_output])
+
+        # Tab 2: Journal
+        with gr.Tab("Journal"):
+            gr.Markdown("### Journaling Section")
+            journal_input = gr.Textbox(label="Write about your day", placeholder="How was your day?", lines=6)
+            save_journal_btn = gr.Button("Save Entry")
+            journal_output = gr.Textbox(label="Your Journal Entries", interactive=False)
+
+            # Connect the save button to the save_journal function
+            save_journal_btn.click(fn=save_journal, inputs=journal_input, outputs=journal_output)
+
+        # Tab 3: Take the Quiz
+        with gr.Tab("Take the Quiz"):
+            gr.Markdown("### Mental Health Quiz")
+
+            question_1 = gr.Dropdown(["Sadness", "Anger", "Fear", "Guilt"], label="Which difficult emotion do you struggle with the most?")
+            question_2 = gr.Dropdown(["0-1 hours", "2-3 hours", "4-5 hours", "More than 5 hours"], label="On an average weekday, how many hours do you spend alone?")
+            question_3 = gr.Dropdown(["Very well", "Somewhat well", "Not very well", "Not at all"], label="How well do you feel you manage your stress?")
+            question_4 = gr.Dropdown(["Introvert", "Extrovert"], label="Would you consider yourself an introvert or an extrovert?")
+            question_5 = gr.Dropdown(["Not at all", "A few days but less than a week", "More than a week", "More than two weeks"], label="Over the last 2 weeks, how often have you been feeling nervous or anxious?")
+            question_6 = gr.Dropdown(["Not at all", "A few days but less than a week", "More than a week", "More than two weeks"], label="Over the last 2 weeks, how often have you been bothered by not being able to control your thoughts or worries?")
+            question_7 = gr.Dropdown(["Not at all", "A few days but less than a week", "More than a week", "More than two weeks"], label="Over the last 2 weeks, how often have you felt little interest or pleasure in doing things that you normally enjoyed doing?")
+            question_8 = gr.Dropdown(["Not at all", "A few days but less than a week", "More than a week", "More than two weeks"], label="Over the last 2 weeks, how often have you felt down, depressed, or hopeless?")
+
+            quiz_submit = gr.Button("Submit Quiz")
+            quiz_results = gr.Textbox(label="Quiz Results", interactive=False)
+
+            # Handle quiz results
+            quiz_submit.click(fn=lambda *answers: interpret_results(list(answers)),
+                              inputs=[question_1, question_2, question_3, question_4, question_5, question_6, question_7, question_8], 
+                              outputs=quiz_results)
+
+demo.launch()