https://github.com/vignesh1507/streamlit-applications

This repository contains streamlit applications/interfaces which i have developed using python and LLMs.
https://github.com/vignesh1507/streamlit-applications

groq hacktoberfest hacktoberfest2024 ollama python streamlit

Last synced: about 2 months ago
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This repository contains streamlit applications/interfaces which i have developed using python and LLMs.

• Host: GitHub
• URL: https://github.com/vignesh1507/streamlit-applications
• Owner: vignesh1507
• License: gpl-3.0
• Created: 2024-09-24T18:35:10.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-10-17T18:22:56.000Z (4 months ago)
• Last Synced: 2024-10-18T13:53:40.405Z (4 months ago)
• Topics: groq, hacktoberfest, hacktoberfest2024, ollama, python, streamlit
• Language: Python
• Homepage:
• Size: 73.2 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Streamlit Applications 

 

This repository showcases a collection of innovative Streamlit applications and user interfaces that I have developed using Python and advanced Large Language Models (LLMs). Each application is designed to leverage the power of AI and provide users with intuitive, interactive experiences.  

 

## Key Features: 

- **User-Friendly Interfaces**: All applications are built with a focus on ease of use, allowing users to engage with complex models without needing deep technical knowledge.

  

- **LLM Integration**: These apps utilize state-of-the-art language models to perform tasks such as natural language understanding, text generation, web scraping, and more, making them versatile tools for various applications.

  

- **Real-World Applications**: The projects aim to solve practical problems or enhance productivity in areas like data analysis, content generation, and automated responses, demonstrating the potential of AI in everyday tasks.

  

- **Open Source**: Each application is open source, encouraging collaboration and contributions from the community. You can explore the code, suggest improvements, or use it as a foundation for your projects.

Feel free to explore the applications and dive into the code to see how these models can be effectively utilized in real-world scenarios!