https://github.com/zacharias1219/dream_analyzer
https://github.com/zacharias1219/dream_analyzer
deployment generative-ai llm streamlit
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/zacharias1219/dream_analyzer
- Owner: zacharias1219
- License: mit
- Created: 2024-03-17T17:11:51.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-18T13:12:27.000Z (over 2 years ago)
- Last Synced: 2025-04-01T06:44:11.515Z (about 1 year ago)
- Topics: deployment, generative-ai, llm, streamlit
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Dream Analyzer
## Description
DreamAnalyzer is a cutting-edge generative AI application designed to provide insightful analyses of users' dreams. Leveraging the power of Gemini API for language models, Streamlit for the user interface, and prompt engineering techniques, this application offers personalized emotional and mental analyses based on users' dream descriptions.
## Features
Advanced Dream Analysis: Users can describe their dreams in detail, including significant objects, emotions, locations, and actions.
Emotional Analysis: The application utilizes state-of-the-art natural language processing techniques to analyze the range and intensity of emotions expressed in the dream.
Mental Analysis: Through prompt engineering and sophisticated algorithms, DreamAnalyzer offers insights into users' subconscious thoughts and concerns, providing reflections on their current mental state.
Streamlit User Interface: The user-friendly Streamlit interface allows seamless interaction with the application, making it easy for users to input their dream descriptions and view the generated analyses.
Gemini API Integration: Powered by Gemini API for language models, DreamAnalyzer delivers accurate and contextually relevant interpretations of users' dreams, enhancing the overall user experience.
## How to Use
Clone the repository to your local machine.
Install the necessary dependencies using pip install -r requirements.txt.
Run the Streamlit application using streamlit run app.py.
Input your dream description in the provided text box and submit.
View the generated emotional and mental analyses based on your dream description.
## Contributing
Contributions to DreamAnalyzer are welcome! Whether it's adding new features, improving existing functionality, or fixing bugs, feel free to fork the repository and submit pull requests. Please ensure that your contributions align with the project's goals and follow the established coding standards.
## License
This project is licensed under the MIT License. See the LICENSE file for details.
## Acknowledgements
DreamAnalyzer utilizes the Gemini API for language models, Streamlit for the user interface, and various prompt engineering techniques. Special thanks to the developers and contributors of these tools for their invaluable contributions to the project.