remove tensorflow until model is ready - get space live

requirements.txt

@@ -1,5 +1,4 @@
 streamlit
 pandas
 numpy
-tensorflow-cpu==2.21.0
-scipy
+scipy

src/streamlit_app.py

@@ -35,12 +35,7 @@ EXPLANATIONS = {
 
 @st.cache_resource
 def load_model():
-    try:
-        import tensorflow as tf
-        model = tf.keras.models.load_model("model.keras")
-        return model
-    except Exception:
-        return None
+    return None, "no_model"
 
 # ── Page config ─────────────────────────────────────────────────────────────
 
@@ -78,9 +73,9 @@ with st.sidebar:
 
 # ── Model status ─────────────────────────────────────────────────────────────
 
-model = load_model()
+model, model_status = load_model()
 
-if model is None:
+if model_status == "no_model":
     st.warning(
         "⚠️ Model not yet available. "
         "The interface is fully built — predictions will activate once "
@@ -129,7 +124,7 @@ with tab1:
             st.metric("Feature count", len(feature_vector))
 
         if st.button("🔍 Classify this sample", type="primary"):
-            if model is None:
+            if model_status == "no_model":
                 st.error("Model not loaded — cannot predict yet.")
             else:
                 arr = feature_vector.reshape(1, -1)