Spaces:
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Sleeping
| import streamlit as st | |
| from transformers import pipeline | |
| # Load the emotion analysis pipeline using an open-access model | |
| emotion_analyzer = pipeline( | |
| "text-classification", | |
| model="j-hartmann/emotion-english-distilroberta-base" | |
| ) | |
| # App title and description | |
| st.set_page_config(page_title="Hawaii Emotion Wellness", layout="centered", page_icon="🌴") | |
| st.markdown( | |
| """ | |
| <style> | |
| body { | |
| background-color: #E0F7FA; | |
| color: #004D40; | |
| } | |
| .main-header { | |
| font-size: 36px; | |
| font-weight: bold; | |
| text-align: center; | |
| margin-bottom: 10px; | |
| } | |
| .sub-header { | |
| font-size: 18px; | |
| text-align: center; | |
| margin-bottom: 20px; | |
| } | |
| .suggestion-card { | |
| background-color: #B2EBF2; | |
| padding: 15px; | |
| border-radius: 8px; | |
| margin-bottom: 15px; | |
| } | |
| </style> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| st.markdown('<div class="main-header">🌺 Hawaii Emotion Wellness App 🌴</div>', unsafe_allow_html=True) | |
| st.markdown('<div class="sub-header">Understand your emotions and find the right balance in paradise.</div>', unsafe_allow_html=True) | |
| # Step 1: Collect user's responses | |
| st.markdown("### Answer these three questions to get started:") | |
| questions = [ | |
| "How are you feeling right now? (e.g., stressed, happy, sad)", | |
| "What is the most pressing issue on your mind currently?", | |
| "On a scale of 1-10, how motivated do you feel to take care of yourself today?", | |
| ] | |
| responses = [] | |
| for question in questions: | |
| response = st.text_input(question) | |
| responses.append(response) | |
| # Analyze the emotions if the user has answered all questions | |
| if st.button("Analyze Emotions"): | |
| if all(responses): | |
| # Aggregate responses into a single input for emotion analysis | |
| aggregated_response = " ".join(responses) | |
| emotion_results = emotion_analyzer(aggregated_response) | |
| # Get the most likely emotion | |
| predicted_emotion = emotion_results[0]["label"] | |
| st.markdown(f"### Your Predicted Emotion: **{predicted_emotion}** 🎭") | |
| # Provide well-being suggestions | |
| st.markdown("### Here's what we recommend for you:") | |
| suggestions = { | |
| "joy": [ | |
| {"activity": "Go for a walk on the beach", "url": "https://www.hawaiibeachwalks.com"}, | |
| {"activity": "Try a short surfing session", "url": "https://www.learnsurf.com"}, | |
| {"activity": "Join a hula dancing class", "url": "https://www.hulahawaii.com"}, | |
| ], | |
| "sadness": [ | |
| {"activity": "Practice deep breathing for 5 minutes", "url": "https://www.breathingexercise.com"}, | |
| {"activity": "Watch a calming ocean video", "url": "https://www.youtube.com/watch?v=lM02vNMRRB0"}, | |
| {"activity": "Do a quick yoga session", "url": "https://www.doyogawithme.com"}, | |
| ], | |
| # Add more emotions as needed | |
| } | |
| user_suggestions = suggestions.get(predicted_emotion.lower(), []) | |
| if user_suggestions: | |
| for suggestion in user_suggestions: | |
| st.markdown( | |
| f""" | |
| <div class="suggestion-card"> | |
| <strong>{suggestion['activity']}</strong> | |
| <br> | |
| <a href="{suggestion['url']}" target="_blank">Learn More</a> | |
| </div> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| else: | |
| st.markdown("Stay positive! Enjoy the aloha spirit and take a deep breath.") | |
| else: | |
| st.warning("Please answer all the questions to analyze your emotions.") | |
| # Footer | |
| st.markdown("---") | |
| st.markdown( | |
| "Built with ❤️ for the Hawaii Hackathon 2024 by [Your Team Name]. Deployed on Hugging Face Spaces." | |
| ) | |