Update app.py

app.py

@@ -3,25 +3,33 @@ import pandas as pd
 import joblib
 from huggingface_hub import hf_hub_download
 
-# تحميل الموديل والأعمدة
+# Download model + columns from your repo
 model_path = hf_hub_download(repo_id="MAZEN00/Player", filename="modeel.joblib")
 columns_path = hf_hub_download(repo_id="MAZEN00/Player", filename="columns.pkl")
 
+# Load them
 model = joblib.load(model_path)
 model_columns = joblib.load(columns_path)
 
-# دالة التوقع بتاخد JSON واحد
+# Prediction function
 def predict_player(player: dict):
-    df = pd.DataFrame([player])
-    df = df[model_columns]  # ترتيب الأعمدة زي ما اتدرب الموديل
-    prediction = model.predict(df)
-    return int(prediction[0])
+    try:
+        df = pd.DataFrame([player])
+        df = df[model_columns]  # align with training columns
+        prediction = model.predict(df)
+        return float(prediction[0])  # float is safer than int for regression
+    except Exception as e:
+        return {"error": str(e)}
 
-# Gradio واجهة
+# Gradio Interface
 iface = gr.Interface(
     fn=predict_player,
     inputs=gr.JSON(label="Player Features"),
     outputs=gr.Number(label="Predicted Rating"),
+    title="⚽ Player Rating Predictor",
+    description="Enter player features (JSON) to get predicted rating."
 )
 
-iface.launch(server_name="0.0.0.0", server_port=7860, share=True)
+# Hugging Face Spaces expects launch like this
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)