Add model card

.gitignore

@@ -0,0 +1,7 @@
+.idea/
+__pycache__/
+*.pyc
+*.log
+.env
+venv/
+*.DS_Store

README.md

@@ -0,0 +1,26 @@
+---
+language: en
+license: mit
+tags:
+- text-classification
+- good-vs-bad
+- sentiment
+---
+
+# 🐦 PigeonAIModel1
+
+This is a simple text classification model trained to detect whether an input sentence is **positive (good)** or **negative (bad)**, based on labeled examples of common good and bad expressions.
+
+## 🧠 How it works
+
+- Fine-tuned on a synthetic dataset of 1000 labeled sentences.
+- Uses `distilbert-base-uncased` architecture from Hugging Face Transformers.
+
+## 🧪 Example Usage
+
+```python
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="tapigeon/PigeonAIModel1")
+print(classifier("You are amazing!"))      # → Good
+print(classifier("You're so stupid!"))     # → Bad