restored the anatomically correct labeling logic

with comments

Adapted to follow the logic from the provided Django api/views.py

removed enhance_image_unsharp_mask function

mao nani

this is it

1

with enhanced_eye_crop

Update app.py

identation of for loop fixed

added log messages to properly debug

fix labeling and results

Update app.py

fix inconsistent labeling

show the exact image that the model analyzed1

show the exact image that the model analyzed

fix mirrored picture problem

Update app.py

error handling if two eyes not detected

fixed the left and right pov

added import base64

Update app.py

updated app.py

add the Base64-encoded images to the final JSON response

using temporary files for every Roboflow call

debugged the vercel, render, and huggingface connection

remove display error

removed the Gradio UI

fixed resp = iris bug

used the old views.py logic as guide

debug resp = iris

convert the cropped eye images to grayscale

debugged

included the Roboflow calls and image manipulation logic

Add a block to run the server

updated with UI

command to run the server

app.py using a manual FastAPI endpoint

added block 5. To run the server. app.py

creates a FastAPI server and "mounts" our Gradio app inside

kapoyag update aning app.py uy

added "predict" line in app.py

simplified app.py

updated app.py

create app.py