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| import streamlit as st | |
| import os | |
| # Debugging Logger | |
| def debug_log(message): | |
| st.text(f"DEBUG: {message}") | |
| # Suggestion Database | |
| suggestion_database = { | |
| "sadness": { | |
| "suggestions": ["Try a guided meditation", "Take a walk in nature", "Connect with a friend"], | |
| "articles": [ | |
| {"title": "Overcoming Sadness", "url": "https://example.com/sadness1"}, | |
| {"title": "Understanding Depression", "url": "https://example.com/sadness2"}, | |
| ], | |
| "videos": [ | |
| {"title": "Mindfulness for Sadness", "url": "https://www.youtube.com/watch?v=sadnessvideo1"}, | |
| {"title": "Coping with Grief", "url": "https://www.youtube.com/watch?v=sadnessvideo2"}, | |
| ], | |
| }, | |
| "joy": { | |
| "suggestions": ["Practice gratitude", "Engage in a hobby", "Spend time with loved ones"], | |
| "articles": [ | |
| {"title": "The Benefits of Joy", "url": "https://example.com/joy1"}, | |
| {"title": "Maintaining Positive Emotions", "url": "https://example.com/joy2"}, | |
| ], | |
| "videos": [ | |
| {"title": "Boosting Your Happiness", "url": "https://www.youtube.com/watch?v=joyvideo1"}, | |
| {"title": "Practicing Gratitude", "url": "https://www.youtube.com/watch?v=joyvideo2"}, | |
| ], | |
| }, | |
| "neutral": { | |
| "suggestions": ["Take a break", "Engage in a relaxing activity", "Spend time in nature"], | |
| "articles": [ | |
| {"title": "Importance of Self-Care", "url": "https://example.com/selfcare1"}, | |
| {"title": "Stress Management Techniques", "url": "https://example.com/stress1"}, | |
| ], | |
| "videos": [ | |
| {"title": "Relaxation Techniques", "url": "https://www.youtube.com/watch?v=relaxvideo1"}, | |
| {"title": "Mindfulness Exercises", "url": "https://www.youtube.com/watch?v=mindfulnessvideo1"}, | |
| ], | |
| }, | |
| } | |
| # Function to Fetch Suggestions | |
| def get_relevant_resources(emotion): | |
| return suggestion_database.get(emotion, suggestion_database["neutral"]) | |
| # Placeholder for Model Loading | |
| def load_emotion_model(model_path): | |
| try: | |
| # Placeholder logic: Replace this with actual model loading code | |
| if not os.path.exists(model_path): | |
| raise FileNotFoundError(f"Model file not found at {model_path}") | |
| debug_log("Model loaded successfully!") | |
| return "Emotion Model Placeholder" | |
| except Exception as e: | |
| debug_log(str(e)) | |
| return None | |
| # Streamlit UI | |
| st.title("Emotion-Based Suggestions") | |
| # Sidebar for Model Path | |
| model_path = st.sidebar.text_input("Enter Model Path", "path/to/model") | |
| # Load Model | |
| emotion_model = load_emotion_model(model_path) | |
| if emotion_model is None: | |
| st.error("Model failed to load. Please check the path and try again.") | |
| # Emotion Analysis Inputs | |
| st.header("How are you feeling today?") | |
| user_response = st.text_input("Describe your current emotion (e.g., happy, sad, neutral):", "neutral") | |
| # Get Suggestions | |
| if user_response: | |
| resources = get_relevant_resources(user_response.lower()) | |
| st.subheader("Here are some suggestions for you:") | |
| st.write("**Activities:**") | |
| for suggestion in resources["suggestions"]: | |
| st.write(f"- {suggestion}") | |
| st.write("**Articles:**") | |
| for article in resources["articles"]: | |
| st.write(f"- [{article['title']}]({article['url']})") | |
| st.write("**Videos:**") | |
| for video in resources["videos"]: | |
| st.write(f"- [{video['title']}]({video['url']})") | |