Update README.md

README.md

@@ -1,79 +1,48 @@
----
-metadata:
-  language: en
-  library_name: scikit-learn
-  tags:
-    - classification
-    - machine-learning
-    - tabular-data
-    - sklearn
-    - diabetes-prediction
-  license: mit
-  datasets:
-    - custom
-  model-type: multi-model-repository
-  author: Thyagharajan K K
-  pipeline_tag: tabular-classification
-  inference: true
-  app_file: app.py
-  flags:
-    - cpu
-    - allow_fork
-    - allow_metrics
-  emoji: 📊
-  colorFrom: blue
-  colorTo: indigo
----
-
-# 📊 KKT-HF-MachineLearning-Models  
-### 🔧 Ready-to-Use Machine Learning Models for Tabular Classification  
-Created by **Thyagharajan K K**
-
-**Hugging Face Hub License:** MIT  
-**Made with:** Scikit-Learn · Python · KKT_DL_Package  
-**Supports:** CPU · Forking · HF Metrics  
-
----
-
-## 📘 Overview  
-This repository contains a collection of **pretrained classical Machine Learning models** for **tabular data classification**, such as diabetes prediction.
-
-Each model directory includes:
-
-- 🧠 Trained `.pkl` ML model  
-- 🏷️ Label file: `class_names.txt`  
-- 📂 Example test CSVs in `Test/`  
-- ⚡ Fully ready for programmatic inference + UI apps
-
----
-
-## 🧩 Programmatic Usage  
-
-```python
-from KKT_DL_Package.utils.KKT_predictions import (
-    tabular_prediction_return,
-    display_results_gui,
-    get_hf_model_tabular_labels_local_path,
-)
-
-model_full_path, test_folder_path, class_names = (
-    get_hf_model_tabular_labels_local_path(
-        "kkthyagharajan/KKT-HF-MachineLearning-Models",
-        force_refresh=False,
-    )
-)
-
-# Run predictions
-all_test_data, all_predicted_labels, all_confidences = (
-    tabular_prediction_return(
-        model_full_path,
-        test_folder_path,
-        class_names,
-    )
-)
-
-# Display results
-display_results_gui(
-    all_test_data,
-    all_predicted_labels,
-)
+---
+metadata:
+  language: en
+  library_name: scikit-learn
+  tags:
+    - classification
+    - machine-learning
+    - tabular-data
+    - sklearn
+    - diabetes-prediction
+  license: mit
+  datasets:
+    - custom
+  model-type: multi-model-repository
+  author: Thyagharajan K K
+  pipeline_tag: tabular-classification
+  inference: true
+  app_file: app.py
+  flags:
+    - cpu
+    - allow_fork
+    - allow_metrics
+  emoji: 📊
+  colorFrom: blue
+  colorTo: indigo
+---
+
+# 📊 KKT-HF-MachineLearning-Models  
+### 🔧 Ready-to-Use Machine Learning Models for Tabular Classification  
+Created by **Thyagharajan K K**
+
+**Hugging Face Hub License:** MIT  
+**Made with:** Scikit-Learn · Python  
+**Supports:** CPU · Forking · HF Metrics  
+
+---
+
+## 📘 Overview  
+This repository contains a collection of **pretrained classical Machine Learning models** for **tabular data classification**, such as diabetes prediction.
+
+Each model directory includes:
+
+- 🧠 Trained `.pkl` ML model  
+- 🏷️ Label file: `class_names.txt`  
+- 📂 Example test CSVs in `Test/`  
+- ⚡ Fully ready for programmatic inference + UI apps
+
+---