Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Refund Request Classifier
|
| 2 |
+
|
| 3 |
+
This repository contains a logistic regression model developed to classify whether an email is a **response to a refund request** or **not**.
|
| 4 |
+
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
## 🚀 Quick Start
|
| 8 |
+
|
| 9 |
+
```python
|
| 10 |
+
from huggingface_hub import hf_hub_download
|
| 11 |
+
import joblib
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
# Load Model
|
| 15 |
+
model_path = hf_hub_download(
|
| 16 |
+
repo_id="Settlemate/refund-request-classifier",
|
| 17 |
+
filename="refund_request_classifier.pkl"
|
| 18 |
+
)
|
| 19 |
+
|
| 20 |
+
# Get Pipeline and Threshold
|
| 21 |
+
bundle = joblib.load(model_path)
|
| 22 |
+
pipeline = bundle["pipeline"]
|
| 23 |
+
threshold = bundle["threshold"]
|
| 24 |
+
|
| 25 |
+
# Functions to use the classifier
|
| 26 |
+
def classify_refund_request(subject: str, body: str) -> bool:
|
| 27 |
+
text = f"{subject} {body}"
|
| 28 |
+
proba = pipeline.predict_proba([text])[0, 1]
|
| 29 |
+
return "refund-request" if proba >= threshold else "non-refund-request"
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
# Example usage
|
| 33 |
+
if __name__ == "__main__":
|
| 34 |
+
subject = "Order Order #210023: protocol REF-7701 assigned"
|
| 35 |
+
body = """<html><body><p>Protocol generated: REF-7701</p><p>Protocol REF-7701 has been issued for your refund request.</p><p>Status updates will be provided within 4 business days.</p><p>Check for updates by logging into our website.</p><p>Our customer care team is available for clarifications.</p><p>Sincerely,<br>QuickMart Support Team</p></body></html>"""
|
| 36 |
+
print(classify_refund_request(subject, body))
|