Update app.py

app.py

@@ -13,7 +13,6 @@ import numpy as np
 from tensorflow.keras.models import load_model
 from tensorflow.keras.preprocessing import image
 import matplotlib.pyplot as plt
-from huggingface_hub import hf_hub_download
 
 
 # ------------------------- PAGE CONFIG -------------------------
@@ -50,12 +49,8 @@ elif app_mode == "🩻 X-ray Classifier":
     if uploaded_image:
         with st.spinner("🔍 Predicting..."):
             try:
-                # ✅ Download model from Hugging Face Hub (only once, then cached)
-                model_path = hf_hub_download(
-                    repo_id="nehda10/covid-xray-model",  # 👈 Your HF model repo
-                    filename="covid_xray_model.keras"
-                )
-                model = load_model(model_path)
+                # ✅ Load model from local models/ folder (no download, no 403 error)
+                model = load_model("models/covid_xray_model.keras")
                 st.success("✅ Model loaded successfully!")
     
                 # ✅ Process image and predict