How might I create an upload & export function within my Azure AI Foundry deployed web app?

Question

How might I create an upload & export function within my Azure AI Foundry deployed web app?

Max Torres 0

Tried deploying web through Python as well as Python Flask app. Unable to deploy. Getting the attached error. Need assistance to deploy the app successfully.

Followed the steps in this documentation link (Quickstart: Deploy a Python (Django, Flask, or FastAPI) web app to Azure - Azure App Service | Microsoft Learn) which were the last steps before the failed attempt to deploy my app.

Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-11T21:01:21.4+00:00

Hi @Max Torres
Thanks for the question and using MS Q&A platform.
Could you please share the exact error message you received during deployment?
May I ask which deployment method you followed?
Max Torres 0 Reputation points

2025-02-12T16:56:21.7766667+00:00

Thank you very much for your help with this. Does MSFT provide support to understand what is limiting a successful app deployment from my Visual Studio account?
Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-17T10:52:44.8666667+00:00

Hi @Max Torres
As for the limitations on a successful app deployment from your Visual Studio account.

Make certain that your Azure account has the necessary roles to facilitate access to your app’s resources such as the Cognitive Services OpenAI User role.

Make sure that your applications settings and configurations along with any necessary environment variables and connection strings are properly set.

Ensure that the resources you intend to deploy are properly provisioned and available for access such as Azure Functions or Blob Storage.
Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-18T08:59:59.12+00:00

Hi @Max Torres
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

2 answers

Your answer

Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-11T21:01:21.4+00:00

Hi @Max Torres
Thanks for the question and using MS Q&A platform.
Could you please share the exact error message you received during deployment?
May I ask which deployment method you followed?
Max Torres 0 Reputation points

2025-02-12T16:56:21.7766667+00:00

Thank you very much for your help with this. Does MSFT provide support to understand what is limiting a successful app deployment from my Visual Studio account?
Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-17T10:52:44.8666667+00:00

Hi @Max Torres
As for the limitations on a successful app deployment from your Visual Studio account.

Make certain that your Azure account has the necessary roles to facilitate access to your app’s resources such as the Cognitive Services OpenAI User role.

Make sure that your applications settings and configurations along with any necessary environment variables and connection strings are properly set.

Ensure that the resources you intend to deploy are properly provisioned and available for access such as Azure Functions or Blob Storage.
Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-18T08:59:59.12+00:00

Hi @Max Torres
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

Answer 1

Max Torres 0

I deployed through Visual Studio using the Azure interface for the last three attempts. All deployment attempts take me the attached screenshot.

The original error screenshot sent was for an app deployed through Azure AI Foundry, but I think this issue might be because of changes made to the app. I say this because, I was able to successfully deploy the same app via Azure AI Foundry and it is working.

Are there issues with deploying via Visual Studio / Azure interface?

Answer 2

Laxman Reddy Revuri 3,655 Microsoft External Staff

Hi @Max Torres
apologize for any inconvenience caused on this.
Deploying via Visual Studio/Azure interface is generally reliable, but certain factors can affect the process. Since your app was successfully deployed via Azure AI Foundry, the issue is likely related to the deployment settings or environment in Visual Studio rather than the code itself.
Azure deployment logs. Go to your Web App in the Azure portal, find the "Deployment Center," and view the logs. Look for specific error messages.

Make sure your application settings in Azure are configured correctly for Python.

Try deploying a very basic Flask app to see if the core deployment process works through Visual Studio. If that works, gradually add complexity back in.

Confirm the Python version configured in your Azure App Service matches the one you're developing with.

Verify your Flask app's app.py file has correctly defined routes and is in the root directory.

Make sure that your code is up-to-date and there are no syntax errors.

If Visual Studio continues to fail, try deploying using the Azure CLI or directly through the Azure portal. In the Azure portal, navigate to App Services, create a new web app, and use the Deployment Center.
If Visual Studio keeps failing, deploy manually using Azure CLI:

az webapp up --name <app-name> --resource-group <resource-group> --sku B1

Or deploy via ZIP:

az webapp deployment source config-zip --name <app-name> --resource-group <resource-group> --src <your_zip_file>.zip

Max Torres 0 Reputation points

2025-02-18T14:34:36.32+00:00

Hello,

After matching my Python versions I was able to deploy the web app. I still am unable to enable the upload and export features which was the original request before deployment became an issue. Can you please help me with this?

Thanks,

Max
Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-20T05:08:56.5033333+00:00

Hi @Max Torres
To create an upload and export function in your Azure AI Foundry deployed web app, you'll need to implement file handling in your Python code.
This usually involves using libraries like Flask for managing file uploads and exports. Utilize Flask's request object to handle file uploads. You can design a form in your HTML template that enables users to upload files. The uploaded files can be accessed in your Flask route through request.files. For exporting files, you can set up a route that generates the file you wish to export and sends it back to the user. Use Flask's send_file function to deliver files to the client.
Be sure to test your upload and export functionality locally before deploying it to Azure. Tools like Postman can help simulate file uploads. Once your upload and export features are functioning correctly locally, you can deploy your updated application to Azure. Make sure your deployment configuration aligns with your local environment, particularly concerning Python versions and dependencies. references:
https://learn.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-python?tabs=managed-identity%2Croles-azure-portal%2Csign-in-azure-cli&pivots=blob-storage-quickstart-scratch
https://github.com/codesagar/Azure-Blobs
Laxman Reddy Revuri 3,655 Reputation points Microsoft External Staff

2025-02-24T07:41:01.4266667+00:00

Hi @Max Torres
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

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How might I create an upload & export function within my Azure AI Foundry deployed web app?

2 answers

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