Time Conversion Assistant
mcp server with amazon bedrock agent
what is Time Conversion Assistant?
Time Conversion Assistant is a Streamlit-based web application designed to help users with time-related queries and conversions using Amazon Bedrock.
how to use Time Conversion Assistant?
To use the Time Conversion Assistant, set up a virtual environment, install the required dependencies, and run the application using Streamlit. The application will open in your default web browser.
key features of Time Conversion Assistant?
- User-friendly interface for time conversions
- Integration with Amazon Bedrock for accurate results
- Supports various time-related queries
use cases of Time Conversion Assistant?
- Converting time zones for international meetings
- Calculating time differences between locations
- Assisting users with daylight saving time adjustments
FAQ from Time Conversion Assistant?
- What are the prerequisites to use the application?
You need Python 3.8 or higher, Podman installed, access to Amazon Bedrock, and valid AWS credentials.
- Is the application free to use?
Yes! The Time Conversion Assistant is free to use, but you need to have access to Amazon Bedrock.
- How do I run the application?
After setting up the virtual environment and installing dependencies, run the command 'streamlit run ui.py' to start the application.
Time Conversion Assistant
A Streamlit-based web application that helps users with time-related queries and conversions using Amazon Bedrock.
Prerequisites
- Python 3.8 or higher
- Podman installed and configured
- Access to Amazon Bedrock
- Valid AWS credentials configured
Installation
- Create and activate a virtual environment:
# Create virtual environment
python -m venv venv
# Activate virtual environment
# For Windows
venv\Scripts\activate
# For macOS/Linux
source venv/bin/activate
2. pip install -r requirements.txt
3. streamlit run ui.py
4. The application will start and open in your default web browser, typically at http://localhost:8501
5. And any other dependencies your application needs. You can create a requirements.txt file by running:
```bash
pip freeze > requirements.txt