Update README.md

README.md

@@ -22,6 +22,42 @@ This model can detect:
 - ✅ Monetization criticism (e.g., "The pay-to-win mechanics ruin the game")
 - ✅ Other significant gameplay problems
 
+## Quick Start
+
+```python
+from transformers import pipeline
+import torch
+
+# Load the model
+classifier = pipeline("text-classification", 
+                     model="FutureMa/game-issue-review-detection",
+                     device=0 if torch.cuda.is_available() else -1)
+
+# Define review examples
+reviews = [
+    "Great game ruined by the worst final boss in history. Such a slog that has to be cheesed to win.",
+    "Great game, epic story, best gameplay and banger music. Overall very good jrpg games for me also i hope gallica is real"
+]
+
+# Label explanations
+LABEL_MAP = {
+    "LABEL_0": "Non Game Issue Review",
+    "LABEL_1": "Game Issue Review"
+}
+
+# Classify and display results
+print("🔍 Game Issue Review Analysis Results:\n")
+print("-" * 80)
+for i, review in enumerate(reviews, 1):
+    pred = classifier(review)
+    label_explanation = LABEL_MAP[pred[0]['label']]
+    print(f"Review {i}:")
+    print(f"Text: {review}")
+    print(f"Classification: {label_explanation}")
+    print(f"Confidence: {pred[0]['score']:.4f}")
+    print("-" * 80)
+```
+
 ## Supported Languages
 🌐 English