Set `library_name` to `tf-keras`.

Model 'alifalhasan/epl-top5-emblem-classifier' seems to be compatible only with "Keras 2" and not "Keras 3". To distinguish them, models compatible with legacy Keras 2.x should be tagged as `tf-keras` while models compatible with Keras 3.x are tagged as `keras`.

This PR updates the model card to replace the explicit `library_name: keras` metadata which is now outdated by `library_name: tf-keras`. Updating this metadata will facilitate its discoverability and usage.

For more information about `keras` and `tf-keras` library names, check out this pull request: https://github.com/huggingface/huggingface.js/pull/774.

README.md

@@ -1,15 +1,11 @@
 ---
-title: EPL Top 5 Emblem Classifier
-emoji: 📉
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 4.12.0
-app_file: app.py
-pinned: false
-license: mit
 language:
 - en
+library_name: tf-keras
+license: mit
+metrics:
+- accuracy
+pipeline_tag: image-classification
 tags:
 - sports
 - soccer
@@ -20,10 +16,14 @@ tags:
 - man city
 - man united
 - image-classification
-metrics:
-- accuracy
-library_name: keras
-pipeline_tag: image-classification
+title: EPL Top 5 Emblem Classifier
+emoji: 📉
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.12.0
+app_file: app.py
+pinned: false
 ---
 
 # Model Card