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 messag...
The purpose of this project is to share knowledge on how awesome Streamlit is and can be - MarcSkovMadsen/awesome-streamlit
Before proceeding, also make sure to run the register-preview-features.sh Bash script in the terraform folder to register any preview feature used by the AKS cluster.OpenAI Terraform ModuleThe following table contains the code from the openai.tf Terraform module used to deploy the Azure OpenAI ...
Additionally, other relevant information or metadata about the image can be stored in other fields within the same document.The full example code can be found in the Jupyter Notebook available in the chapter 5 folder of this book’s GitHub repository at https://github.com/PacktPublishing/Vector...
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. ...
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 ...
Before proceeding, also make sure to run the register-preview-features.sh Bash script in the terraform folder to register any preview feature used by the AKS cluster.OpenAI Terraform ModuleThe following table contains the code from the openai.tf Terraform module used to deploy the Azure OpenAI ...
This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform. - wilsonmar/aks-openai-chainlit-terraform
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...
This sample provides two sets of Terraform modules to deploy the infrastructure and the chat applications. Infrastructure Terraform Modules You can use the Terraform modules in the terraform/infra folder to deploy the infrastructure used by the sample, including the Azure Container Apps Environment, Azu...