Sync App files

README.md

@@ -1,7 +1,3 @@
----
-license: mit
-sdk: gradio
----
 title: Drug Classification
 emoji: 📉
 colorFrom: purple

app.py

@@ -1,17 +1,12 @@
-
 import gradio as gr
-import skops.io as sio
 import warnings
 from sklearn.exceptions import InconsistentVersionWarning
 
-import subprocess
-import sys
 
-try:
-    import skops.io as sio
-except ModuleNotFoundError:
-    subprocess.check_call([sys.executable, "-m", "pip", "install", "skops"])
-    import skops.io as sio  # Retry import after installation
+import joblib
+
+
+
 
 # Suppress the version warnings
 warnings.filterwarnings("ignore", category=InconsistentVersionWarning)
@@ -28,7 +23,8 @@ trusted_types = [
     "sklearn.ensemble.RandomForestClassifier",
     "numpy.dtype",
 ]
-pipe = sio.load("./Model/drug_pipeline.skops", trusted=trusted_types)
+
+pipe = joblib.load("model.pkl", trusted=trusted_types)
 
 
 def predict_drug(age, sex, blood_pressure, cholesterol, na_to_k_ratio):

requirements.txt

@@ -1,4 +1,3 @@
---upgrade pip
+joblib
 scikit-learn
-skops
 gradio