Update README.md

README.md

@@ -60,8 +60,8 @@ import joblib
 import pandas as pd
 
 # Download and load the trained pipeline
-pipeline_path = hf_hub_download("HydraSense/waterpotabler-v1", "water_potability_pipeline.pkl")
-pipeline = joblib.load(pipeline_path)
+pipeline_path = hf_hub_download("DarkNeuron-AI/darkneuron-hydrasense-v1", "water_potability_model.pkl")
+model = joblib.load(pipeline_path)
 
 # Example water sample
 sample_data = {
@@ -79,7 +79,7 @@ sample_data = {
 sample_df = pd.DataFrame(sample_data)
 
 # Predict potability
-prediction = pipeline.predict(sample_df)
+prediction = model.predict(sample_df)
 
 print("Prediction:", "💧 Potable" if prediction[0] == 1 else "⚠️ Not Potable")
 ```