Create model

model

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+import gradio as gr
+import skops.io as sio
+
+pipe = sio.load("./Model/drug_pipeline.skops", trusted=True)
+
+
+def predict_drug():
+    predicted_drug = pipe.score()
+
+   
+    return predicted_drug
+
+
+outputs = [gr.Label(num_top_classes=5)]
+
+
+
+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. It teaches how to automate training, evaluation, and deployment of models to Hugging Face using GitHub Actions."
+
+
+gr.Interface(
+    fn=predict_drug,
+    outputs=outputs,
+    title=title,
+    description=description,
+    article=article,
+    theme=gr.themes.Soft(),
+).launch()