Update README.md

README.md

@@ -1,39 +1 @@
-readme = f"""---
-library_name: scikit-learn
-tags:
-- spam-detection
-- classic-ml
-- tfidf
-- random-forest
-task: text-classification
-license: mit
----
-
-# Spam Detector – RandomForest + TF-IDF (Classical ML)
-
-**Labels:** 0 = ham, 1 = spam  
-**Training features:** TF-IDF (1k unigrams)  
-**Final model:** RandomForestClassifier
-
-## Usage
-
-```python
-import joblib
-from huggingface_hub import hf_hub_download
-
-repo_id = "<YOUR_USERNAME>/spam-detector-rf-tfidf"
-
-vec_path = hf_hub_download(repo_id, "vectorizer.pkl")
-mdl_path = hf_hub_download(repo_id, "rf_model.pkl")
-
-vectorizer = joblib.load(vec_path)
-model = joblib.load(mdl_path)
-
-texts = [
-    "Congratulations! You've won a free prize, click here!",
-    "Are we still on for lunch today?"
-]
-X = vectorizer.transform(texts)
-proba = model.predict_proba(X)[:, 1]  # probability spam
-pred = (proba >= 0.5).astype(int)
-print(list(zip(texts, pred, proba)))
+license: apache-2.0