with crs and shx changes in the top

app.py

@@ -10,14 +10,22 @@ from sentence_transformers import SentenceTransformer
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import streamlit as st
 
-# Set the environment variables for GPU usage in Hugging Face
-os.environ["CUDA_VISIBLE_DEVICES"] = "0"  # Hugging Face uses GPU 0 by default
-os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
-# Set device to GPU if available
+# Set the SHAPE_RESTORE_SHX configuration option to YES (from previous fix)
+os.environ['SHAPE_RESTORE_SHX'] = 'YES'
+
+# Set device to GPU if available, otherwise CPU
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 st.write(f"Using device: {device}")
 
+# # Set the environment variables for GPU usage in Hugging Face
+# os.environ["CUDA_VISIBLE_DEVICES"] = "0"  # Hugging Face uses GPU 0 by default
+# os.environ["TOKENIZERS_PARALLELISM"] = "false"
+
+# # Set device to GPU if available
+# device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+# st.write(f"Using device: {device}")
+
 # Step 1: Load and Process Floodland Data
 conn = sqlite3.connect('NY.db')
 cursor = conn.cursor()
@@ -25,12 +33,27 @@ cursor = conn.cursor()
 # Load shapefile
 gdf = gpd.read_file('S_FLD_HAZ_AR.shp')
 
+#NEW PART
+
+shapefile_path = os.path.join(os.path.dirname(__file__), 'S_FLD_HAZ_AR.shp')
+gdf = gpd.read_file(shapefile_path)
+
+
+# Check the initial CRS
+st.write("Initial CRS:", gdf.crs)
+
+# If the CRS is None, set it to WGS84 (EPSG:4326), which is common for FEMA shapefiles
+if gdf.crs is None:
+    gdf.set_crs(epsg=4326, inplace=True)
+    st.write("CRS was missing; set to EPSG:4326 (WGS84).")
+
 # Validate geometries
 gdf['geometry'] = gdf['geometry'].apply(lambda geom: geom if geom.is_valid else None)
 gdf = gdf.dropna(subset=['geometry'])
 
 # Convert CRS to UTM Zone 18N (New York)
 gdf = gdf.to_crs(epsg=32618)
+st.write("CRS after reprojection:", gdf.crs)
 
 # Calculate acreage (1 square meter = 0.000247105 acres)
 gdf['acreage'] = gdf.geometry.area * 0.000247105