streamlit run main.py to check if everything works as planned. Prepare requirements.txt file by running, e.g., pip freeze > requirements.txt. Go to the parent directory (with respect to MyApplication folder) and publish the application using: If you’re lucky, you will see a message...
The Terraform modules in the terraform/infra folder deploy the following resources: azurerm_virtual_network: an Azure Virtual Network with two subnets: ContainerApps: this subnet hosts the Azure Container Apps Environment. PrivateEndpoints: this subnet contains the Azure Private Endpoints to the ...
Simple Chat: This simple chat application utilizes OpenAI's language models to generate real-time completion responses. Documents QA Chat: This chat application goes beyond simple conversations. Users can upload up to 10 .pdf and .docx documents, which are then processed to create vector embeddings...
a company could upload product its documentation and company procedures and be on the way to creating a customer service chatbot; a developer could grab the complete set of Streamlit documentation to build an expert coder for data science apps (note that while the Streamlit...
In regard to thefolder structure, I put 4 fundamental elements on root level: application folder: where all the dash code is going to be, in dash.py file python folder: where I place the logic of the model settings folder: where there are all the configurations ...
Overview of our final Speech-To-Text application Objective In theprevious article, we have created a form where the user can select the options he wants to interact with. Now that this form is created, it’s time todeploy the features!
If you don’t see the (venv) label in a later step, run the activate.ps1 script to enter the virtual environment. Step 3: Remove the triton package in requirements In theFile ExplorerApp, navigate to the foldergenerative-models > requirements. ...
You can find the architecture.vsdx file used for the diagram under the visio folder.Azure ProviderThe Azure Provider can be used to configure infrastructure in Microsoft Azure using the Azure Resource Manager API's. For more information on the data sources and resources supported by the Azure Pro...
The purpose of this project is to share knowledge on how awesome Streamlit is and can be - MarcSkovMadsen/awesome-streamlit
We will be working with python and some frameworks such as FastAPI, Flask, Streamlit etc and we will need to install their various dependencies. In each folder I've created specific requirements.txt files for installing the dependencies needed for each project. For example you can install the ...