Integrating model with Streamlit UI

[raj2729]

1. Create a frontend user interface for users to upload and retrieve information about their promotion images.
2. The user interface must be integrated with the machine learning model for processing and data regarding the products and images must be reflected in the result.

[raj2729]

The model has been integrated with the Streamlit user interface using ngrok.

[raj2729]

https://github.com/UCI-SAP-Capstone-2024/Proof-of-Performance-Validation/assets/68227858/48da97a3-415b-42ca-a438-82eff4a4805e

[raj2729]

• Since the integration pipeline is set up now, we will focus more on improving the accuracy of the model for which we are re-training the model on a larger annotated dataset.
• The model is integrated to the client's user interface using ngrok. Ngrok is a globally distributed reverse proxy for securely accessing applications being processed on IP Addresses of a cloud service to our local IP Addresses. It creates secure tunnels from a public internet endpoint to a locally running server.
• This endpoint is then accessed using the client interface where the model is integrated to allow users for interacting with our machine learning model.