Update app.py

app.py

@@ -18,7 +18,7 @@ trusted_types = [
     "sklearn.ensemble.RandomForestClassifier",
     "numpy.dtype",
 ]
-pipe = sio.load("/content/drive/MyDrive/Aivancity_course/Deployment/drug_pipeline.skops", trusted=trusted_types)
+pipe = sio.load("./Model/drug_pipeline.skops", trusted=trusted_types)
 
 
 def predict_drug(age, sex, blood_pressure, cholesterol, na_to_k_ratio):
@@ -57,11 +57,18 @@ examples = [
 ]
 
 
+title = "Drug Classification"
+description = "Enter the details to correctly identify Drug type?"
+article = "This app is a part of the **[Beginner's Guide to CI/CD for Machine Learning](https://www.datacamp.com/tutorial/ci-cd-for-machine-learning)**. It teaches how to automate training, evaluation, and deployment of models to Hugging Face using GitHub Actions."
+
 
 gr.Interface(
     fn=predict_drug,
     inputs=inputs,
     outputs=outputs,
     examples=examples,
+    title=title,
+    description=description,
+    article=article,
     theme=gr.themes.Soft(),
 ).launch()