Update: README

README.md

@@ -1,11 +1,14 @@
-# Kvasir Gastrointestinal Endoscopy Classifier 
-
-Upload an endoscopy image and select a model to classify it into one of
-
-**8 GI tract categories**: esophagitis, polyps, ulcerative colitis,
-dyed lifted polyps, dyed resection margins, normal cecum, pylorus, or z-line.
-
-> The models in use were trained on [Kvasir endoscopy images](https://www.kaggle.com/datasets/meetnagadia/kvasir-dataset) only .
-> Uploading unrelated images will produce unreliable predictions.
-
-- Here is a link to the working application: [App](https://huggingface.co/spaces/Livewirez/image_classification_v2)
+---
+title: DeepLearning
+emoji: 🏢
+colorFrom: green
+colorTo: yellow
+sdk: gradio
+sdk_version: 6.14.0
+python_version: '3.13'
+app_file: app.py
+pinned: false
+license: gpl-3.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference