import streamlit as st from PIL import Image import base64 from io import BytesIO def image_to_base64(img): buffered = BytesIO() img.save(buffered, format="PNG") return base64.b64encode(buffered.getvalue()).decode() def display_homepage(): image = Image.open('image.jpg') img_base64 = image_to_base64(image) st.markdown( f"""
image
""", unsafe_allow_html=True ) st.markdown( """
AI Support for Your Mental Well-Being
Designed to streamline your mental health journey, our AI therapist is here to offer round-the-clock support, addressing mental health-related queries, providing personalized reports, and helping you understand your stress level to ensure a smoother journey toward mental and emotional health.
""", unsafe_allow_html=True ) col1, col2 = st.columns([1, 1]) with col1: if st.button("Start Chat", key="start_chat_button"): st.session_state.page = "chat" with col2: if st.button("Stress Test", key="predict_stress_button"): st.session_state.page = "stress"