Update app.py

app.py

@@ -212,29 +212,33 @@ with st.sidebar:
     current_example = st.session_state.get('current_example', {})
     
     with tab1:
-        # Числовые признаки
-        for i in range(0, len(numeric_features), 2):
-            col1, col2 = st.columns(2)
-            with col1:
-                if i < len(numeric_features):
-                    feature = numeric_features[i]
-                    default_value = current_example.get(feature, float(numeric_defaults[feature]))
-                    input_data[feature] = st.number_input(
-                        f'{feature}',
-                        value=default_value,
-                        format="%.2f",
-                        help=f"Среднее: {numeric_defaults[feature]:.2f}"
-                    )
-            with col2:
-                if i + 1 < len(numeric_features):
-                    feature = numeric_features[i + 1]
-                    default_value = current_example.get(feature, float(numeric_defaults[feature]))
-                    input_data[feature] = st.number_input(
-                        f'{feature}',
-                        value=default_value,
-                        format="%.2f",
-                        help=f"Среднее: {numeric_defaults[feature]:.2f}"
-                    )
+    # Числовые признаки
+    for i in range(0, len(numeric_features), 2):
+        col1, col2 = st.columns(2)
+        with col1:
+            if i < len(numeric_features):
+                feature = numeric_features[i]
+                # Явно преобразуем значение в float
+                default_value = float(current_example.get(feature, numeric_defaults[feature]))
+                input_data[feature] = st.number_input(
+                    f'{feature}',
+                    value=default_value,
+                    step=0.01,  # Добавляем шаг
+                    format="%.2f",
+                    help=f"Среднее: {float(numeric_defaults[feature]):.2f}"
+                )
+        with col2:
+            if i + 1 < len(numeric_features):
+                feature = numeric_features[i + 1]
+                # Явно преобразуем значение в float
+                default_value = float(current_example.get(feature, numeric_defaults[feature]))
+                input_data[feature] = st.number_input(
+                    f'{feature}',
+                    value=default_value,
+                    step=0.01,  # Добавляем шаг
+                    format="%.2f",
+                    help=f"Среднее: {float(numeric_defaults[feature]):.2f}"
+                )
     
     with tab2:
         # Категориальные признаки