Update app.py

app.py

@@ -1,3 +1,35 @@
-import gradio as gr
+from huggingface_hub import hf_hub_url, cached_download
+import joblib
+import pandas as pd
+
+REPO_ID = "julien-c/wine-quality"
+FILENAME = "sklearn_model.joblib"
+
+
+model = joblib.load(cached_download(
+    hf_hub_url(REPO_ID, FILENAME)
+))
+
+# model is a `sklearn.pipeline.Pipeline`
+#GET SAMPLE DATA
+data_file = cached_download(
+    hf_hub_url(REPO_ID, "winequality-red.csv")
+)
+df = pd.read_csv(dataset)
+
+
+X = df.drop(["Target"], axis=1)
+Y = df["Target"]
+
+print(X[:3])
+
+#GET PREDICTIONS
+labels = model.predict(X[:3])
+
+
+#EVALUATE
+model.score(X, Y)
+
+
+
 
-gr.Interface.load("models/templates/tabular-classification").launch()