Removed: sidebar and option to run locally

inference.py

@@ -203,14 +203,9 @@ def crop_predictions_to_gdf(field_ids, targets, predictions, transform, crs, cla
     return gdf
 
 def perform_inference(lon, lat, model, config, debug=False):
-    if os.environ.get('USE_LOCAL_DATA') == "True":
-        features_path = "./data/stacked_features_cog.tif"
-        labels_path = "./data/labels_cog.tif"
-        field_ids_path = "./data/field_ids_cog.tif"
-    else:
-        features_path = "https://huggingface.co/datasets/crop-classification/zueri-crop-2/resolve/main/stacked_features_cog.tif"
-        labels_path = "https://huggingface.co/datasets/crop-classification/zueri-crop-2/resolve/main/labels_cog.tif"
-        field_ids_path = "https://huggingface.co/datasets/crop-classification/zueri-crop-2/resolve/main/field_ids_cog.tif"
+    features_path = "https://huggingface.co/datasets/crop-classification/zueri-crop-2/resolve/main/stacked_features_cog.tif"
+    labels_path = "https://huggingface.co/datasets/crop-classification/zueri-crop-2/resolve/main/labels_cog.tif"
+    field_ids_path = "https://huggingface.co/datasets/crop-classification/zueri-crop-2/resolve/main/field_ids_cog.tif"
 
     # Local paths for stats and dataset info
     stats_path = "./data/chips_stats.yaml"

pages/2_Perform_Crop_Classification.py

@@ -31,29 +31,6 @@ def perform_inference_step():
     lat, lon = st.session_state["selected_location"]
 
     # Sidebar
-    st.sidebar.header("Settings")
-
-    # Timestep Slider
-    timestep = st.sidebar.slider("Select Timestep", 1, 9, 5)
-
-    # Band Dropdown
-    band_options = {
-        "RGB": [1, 2, 3],  # Adjust indices based on the actual bands in your GeoTIFF
-        "NIR": [4],
-        "SWIR1": [5],
-        "SWIR2": [6]
-    }
-    vmin_vmax = { 
-        "RGB": (89, 1878),
-        "NIR": (165, 5468),
-        "SWIR1": (120, 3361),
-        "SWIR2": (94, 2700)
-    }
-    selected_band = st.sidebar.selectbox("Select Satellite Band to Display", options=list(band_options.keys()), index=0)
-    
-    # Calculate the band indices based on the selected timestep
-    selected_bands = [band + (timestep - 1) * 6 for band in band_options[selected_band]]
-    
     instructions = """
     Click the button "Perform Crop Classification".