Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Gradio is an open-source Python library that lets you build user interfaces for your machine learning models, APIs, or even any Python function with incredible ease. Think of it as a bridge between your code and the outside world, turning them into interactive demos or web applications.
Streamlit is a popular choice for data scientists and engineers because it is easy to learn and use, and it can be used to create beautiful and engaging apps without any prior knowledge of web development. Streamlit is also a dynamically typed language, which means that the types of variables and expressions are not checked at compile time. This makes Streamlit a very flexible language, but it can also make it more difficult to debug.
Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch.
Highlights
- Deploy, share, and collaborate on your ML models in minutes with Gradio - now on AWS Marketplace!
- Build & Deploy Streamlit Apps in Minutes.
Details
Typical total price
$0.146/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
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t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium Recommended | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge | $0.10 | $0.186 | $0.286 |
t2.2xlarge | $0.10 | $0.371 | $0.471 |
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open-source licenses.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Usage Instructions:
- For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ubuntu
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This software does not store any sensitive customer information.
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This software does not require any type of data encryption configuration.
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Programmatic system credentials and cryptographic keys are not required for this product.
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To verify the Gradio, Streamlit installtion follow the commands below: Gradio, Streamlity is installed in the python virtual environment "virtual_env". a) To see the list of directories: ls b) To activate the virtual environment "virtual_env": source virtual_env/bin/activate c) To check the installed version of Gradio: pip show gradio d) To check the installed version of Streamlit: pip show streamlit i) To come out of the virtual environment: deactivate
- Below are the minimum external resources subscriber needs to have to use this product:
- An Internet Connection is required in order for this product to function as expected.
- We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.