app.py

from statistics import mode
import streamlit as st
import logging
from PIL import Image, ImageEnhance
import base64
from groq import Groq
import urllib
import os 
logging.basicConfig(level=logging.INFO)


api_key = os.getenv("OPENAI_API_KEY")
client = Groq(api_key=api_key)

st.set_page_config(
    page_title="app.py",
    page_icon="imgs/avatar_streamly.png",
    layout="wide",
    initial_sidebar_state="auto",
   
)

st.markdown(
    """
    <style>
    .centered-title {
        text-align: center;
        font-size: 3em;
        font-weight: bold;
    }
    </style>
    """,
    unsafe_allow_html=True
)
st.markdown('<div class="centered-title">Chat with Therapist</div>', unsafe_allow_html=True)

def generate_google_maps_link(location, search_term="therapists or hospitals near"):
    """Generate a Google Maps search link for nearby therapists or hospitals."""
    query = f"{search_term} {location}"
    encoded_query = urllib.parse.quote(query)
    google_maps_url = f"https://www.google.com/maps/search/{encoded_query}"
    return google_maps_url


def img_to_base64(image_path):
    """Convert an image to base64 encoding for display."""
    try:
        with open(image_path, "rb") as img_file:
            return base64.b64encode(img_file.read()).decode()
    except Exception as e:
        logging.error(f"Error converting image to base64: {str(e)}")
        return None

# Initialize session state
def initialize_session_state():
    if "conversation_history" not in st.session_state:
        st.session_state.conversation_history = []
    if "history" not in st.session_state:
        st.session_state.history = []
    if "user_details" not in st.session_state:
        st.session_state.user_details = {}

initialize_session_state()

def initialize_conversation():
    """Initialize the conversation history with system and assistant messages for the AI therapist."""
    assistant_message = "Hello! I am Your AI Therapist. How can I assist you today?"
    st.session_state.conversation_history = [
        {"role": "assistant", "content": assistant_message}
    ]

def on_chat_submit(chat_input1):
    user_input = chat_input1.strip()
    st.session_state.conversation_history.append({"role": "user", "content": user_input})

    fixed_prompt = [
        {"role": "system", "content": """
            You are an AI therapist named Virtual Therapist, designed to provide conversational support and mental health guidance in a clear, concise, and professional manner. Your responses should:
            1. Be short and to the point: Offer brief but supportive answers, especially in a therapeutic setting.
            2. Maintain a professional tone: Use a calm, empathetic, and professional approach in all interactions.
            3. Encourage open dialogue: Ask open-ended questions to understand the user’s concerns without over-explaining.
            4. Provide solutions or suggestions where appropriate: Offer coping techniques, resources, or quick advice.
            5. Stay respectful and non-judgmental: Ensure all responses reflect respect and care for the user's emotions and mental well-being.
            6. Avoid lengthy explanations: Provide short, clear guidance, and direct the user to professional help when needed.
        """}
    ]

    conversation_history_with_prompt = fixed_prompt + st.session_state.conversation_history

    assistant_reply = "I'm here to listen. Could you tell me more about how you're feeling?"
    try:
        model_engine = "llama3-8b-8192"
        response = client.chat.completions.create(
            messages=conversation_history_with_prompt,
            model=model_engine
        )
        assistant_reply = response.choices[0].message.content
    except Exception as e:
        logging.error(f"Error occurred: {e}")
        st.error(f"An error occurred: {str(e)}")

    st.session_state.conversation_history.append({"role": "assistant", "content": assistant_reply})

def main():
    """Main function to display Streamlit updates and handle chat interface."""
    initialize_session_state()

    if not st.session_state.conversation_history:
        st.session_state.conversation_history = initialize_conversation()

    st.markdown(
        """
        <style>
        .cover-glow {
            width: 100%;
            height: auto;
            padding: 3px;
            box-shadow: 
                0 0 5px #330000,
                0 0 10px #660000,
                0 0 15px #990000,
                0 0 20px #CC0000,
                0 0 25px #FF0000,
                0 0 30px #FF3333,
                0 0 35px #FF6666;
            border-radius: 45px;
        }
        </style>
        """,
        unsafe_allow_html=True,
    )

    img_path = "imgs/sidebar_streamly_avatar.png"
    img_base64 = img_to_base64(img_path)
    if img_base64:
        st.sidebar.markdown(
            f'<img src="data:image/png;base64,{img_base64}" class="cover-glow">',
            unsafe_allow_html=True,
        )

    st.sidebar.markdown("---")

    mode = st.sidebar.radio("Select Mode:", options=["Visit Doctor", "Chat with Therapist", "Talk to Therapist"], index=1)
    st.session_state.mode = mode
    st.sidebar.markdown("---")


    # Check if the mode is "Talk to Therapist"
    if "mode" in st.session_state and st.session_state["mode"] == "Talk to Therapist":
        # Styling template for the glowing effect
        st.markdown(
            """
            <style>
            .cover-glow {
                width: 100%;
                height: auto;
                padding: 5px;
                box-shadow: 
                    0 0 5px #330000,
                    0 0 10px #660000,
                    0 0 15px #990000,
                    0 0 20px #CC0000,
                    0 0 25px #FF0000,
                    0 0 30px #FF3333,
                    0 0 35px #FF6666;
                border-radius: 10px;
            }
            .real-time {
                font-family: Arial, sans-serif;
                font-size: 16px;
                line-height: 1.5;
                color: white;
                background-color: #1E1E1E;
                padding: 15px;
                border-radius: 10px;
                box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
            }
            .progress-message {
                font-size: 18px;
                color: white;
                font-weight: bold;
                margin-top: 1em;
                text-align: center;
                animation: blinker 1.5s linear infinite;
            }
            @keyframes blinker {
                50% {
                    opacity: 0.5;
                }
            }
            </style>
            """,
            unsafe_allow_html=True
        )

        # Display header with glowing effect
        st.markdown(
            """
            <p class="cover-glow" style="font-size:17px; color:white; background-color:black; font-weight:bold; 
                text-align: center; margin-top: 3em; margin-bottom: 3em;">
                TALK TO YOUR AI THERAPIST
            </p>
            """,
            unsafe_allow_html=True
        )
        
        # st.write("### Real Time  Live Therapy Session")

        # In-progress message
        st.markdown(
            """
            <style>
            .progress-message {
                font-size: 35px; /* Increased font size */
                color: white;
                font-weight: bold; /* Bold styling */
                margin-top: 1em;
                text-align: center;
                animation: blinker 1.5s linear infinite;
            }
            @keyframes blinker {
                50% {
                    opacity: 0.5;
                }
            }
            </style>
            <p class="progress-message">📞  Real Time  Live Therapy Session ☎️</p>
            <p class="progress-message">In Progress ⌛️⌛️</p>

            """,
            unsafe_allow_html=True
        )

        # Simulate real-time communication
        # st.write("### Real Time  Live Therapy Session")

       



# Initialize location input field
    location = ""
    # Location input based on mode
    if "mode" in st.session_state and st.session_state["mode"] == "Visit Doctor":
        st.markdown(
            """
            <style>
            .cover-glow {
                width: 100%;
                height: auto;
                padding: 5px;
                box-shadow: 
                    0 0 5px #330000,
                    0 0 10px #660000,
                    0 0 15px #990000,
                    0 0 20px #CC0000,
                    0 0 25px #FF0000,
                    0 0 30px #FF3333,
                    0 0 35px #FF6666;
                border-radius: 10px;
            }
            </style>
            """,
            unsafe_allow_html=True
        )
        st.markdown(
            f"""
            <p class="cover-glow" style="font-size:17px; color:white; background-color:black; font-weight:bold; 
                text-align: center; margin-top: 3em; margin-bottom: 3em;">
                THERAPIST OR DOCTOR NEAR ME <span style="color:white;">{location.strip()}</span>
            </p>
            """,
            unsafe_allow_html=True
        )

        # location = st.chat_input("Enter your location here...")
        # if location:
        #     st.session_state.user_details["location"] = location
        #     if location.strip():
        #         google_maps_link = f"https://www.google.com/maps/search/{urllib.parse.quote('therapists or hospitals near ' + location)}"
        #         st.markdown(f"Find a licensed therapist or doctor near **{location}**: [Click here to view on Google Maps]({google_maps_link})")


        # Initialize session state for storing chat messages
        if "messages" not in st.session_state:
            st.session_state["messages"] = []

        user_avatar = "imgs/googlemap.png"
        assistant_avatar = "imgs/botreq.png"

        # Chat input field for location
        location = st.chat_input("Enter your location here...")

        # Process input if available
        if location:
            # Save user's location input
            st.session_state["messages"].append({"role": "user", "content": location})

            # Generate Google Maps link and add it as assistant's response
            if location.strip():
                google_maps_link = f"https://www.google.com/maps/search/{urllib.parse.quote('therapists or hospitals near ' + location)}"
                bot_reply = f"Find a licensed therapist or doctor near **{location}**: [Click here to view on Google Maps]({google_maps_link})"
                st.session_state["messages"].append({"role": "assistant", "content": bot_reply})

        # Display chat history with avatars for user and assistant
        for message in st.session_state["messages"]:
            role = message["role"]
            avatar_image = assistant_avatar if role == "assistant" else user_avatar
            with st.chat_message(role.capitalize(), avatar=avatar_image):
                st.write(message["content"])


    show_basic_info = st.sidebar.checkbox("Quick Chat ", value=False)
    if show_basic_info:
        st.sidebar.markdown("""
        ### Quick Chat Guidance
        - **Share Your Feelings**: Express what you're feeling, like "I'm stressed" or "I'm overwhelmed."
        - **How to Respond**: The AI will listen and offer support. Share more if you wish.
        - **Be Open**: Take your time and talk about what's on your mind.
        - **Ask for Help**: If unsure, say "I need help with stress" and the AI will guide you.
        """)

    show_advanced_info = st.sidebar.checkbox("Comprehensive Guidance", value=False)
    if show_advanced_info:
        st.sidebar.markdown("""
        ### Comprehensive Guidance
        - **Mental Health**: 
            - "Seeking help is a sign of strength. Small steps matter."
            - "Therapists can guide you through tough times."
            - "You deserve to feel better."
        - **When to Seek Help**:
            - "Feeling overwhelmed? A therapist can support you."
            - "Reach out to a doctor if mental health feels too much."
        """)

    if mode == "Chat with Therapist":
        if not st.session_state.conversation_history:
            initialize_conversation()

        chat_input1 = st.chat_input("Type your message here...")
        if chat_input1:
            on_chat_submit(chat_input1)

        for message in st.session_state.conversation_history[-10:]:  
            role = message["role"]
            avatar_image = "imgs/avatar_streamly.png" if role == "assistant" else "imgs/stuser.png"
            with st.chat_message(role.capitalize(), avatar=avatar_image):
                st.write(message["content"])

if __name__ == "__main__":
    main()