https://github.com/thaiebu/emotion_tracker_using_llama

https://github.com/thaiebu/emotion_tracker_using_llama

Last synced: 7 days ago
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• Host: GitHub
• URL: https://github.com/thaiebu/emotion_tracker_using_llama
• Owner: Thaiebu
• Created: 2024-12-22T14:03:59.000Z (15 days ago)
• Default Branch: main
• Last Pushed: 2024-12-22T14:08:47.000Z (15 days ago)
• Last Synced: 2024-12-22T15:21:18.243Z (15 days ago)
• Language: Python
• Size: 346 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        

## API Documentation

1. This application provides endpoints for visualizing mood and activity trends, user profile insights, and AI-based recommendations.  

2. The root endpoint serves an interactive dashboard in HTML format.  

3. Users can view mood distribution, activity time, and mood patterns for specific profiles.  

4. It includes a POST endpoint to predict mood based on user activity with optional language input.  

5. Comprehensive schema validation ensures robust error handling and structured JSON responses.  

1. **`/` Endpoint**: Serves the dashboard.  

   - **Input**: None.  

   - **Output**: HTML content.  

2. **`/visualize-mood-distribution`**: Displays a mood distribution pie chart.  

   - **Input**: None.  

   - **Output**: JSON containing a base64-encoded image of the chart.  

3. **`/visualize-activity-time`**: Shows activity time distribution as a histogram.  

   - **Input**: None.  

   - **Output**: JSON containing a base64-encoded histogram image.  

4. **`/display-ai-recommendations`**: Provides AI-generated activity recommendations.  

   - **Input**: None.  

   - **Output**: JSON array with user recommendations.  

5. **`/view-user-profile/{user_id}`**: Displays user profile and mood trends.  

   - **Input**: User ID (path parameter).  

   - **Output**: JSON with mood counts, user details, and a mood trend image.  

6. **`/predict_mood`**: Predicts mood based on activity.  

   - **Input**: JSON with activity, user name, and optional language.  

   - **Output**: JSON with predicted mood and recommendation.  

7. **Schemas**:  

   - **`MoodRequest`**: Requires `activity` and `user_name`, optionally includes `language`.  

   - **`MoodResponse`**: Includes `mood` and `recommendation`.  

8. **Validation**: Handles input errors using `HTTPValidationError`.  

9. **Content Types**: Primarily JSON responses, except for the dashboard, which returns HTML.  

10. **Error Handling**: Ensures HTTP 422 for validation issues and HTTP 500 for server errors.

Home page

![alt text](backend/image_1.png)

Fast API Docs Page

![alt text](backend/image.png)