Update main.py

main.py

@@ -1,63 +1,63 @@
-import uvicorn
-from fastapi import FastAPI
-from fastapi.middleware.wsgi import WSGIMiddleware
-from dash_plotly_QC_scRNA import app as dashboard1
-#from app2 import app as dashboard2
-
-#########################################################
-import dash
-from dash import dcc, html, Output, Input
-import plotly.express as px
-import dash_callback_chain
-import yaml
-import polars as pl
-pl.enable_string_cache(False)
-
-# Set custom resolution for plots:
-config_fig = {
-  'toImageButtonOptions': {
-    'format': 'svg',
-    'filename': 'custom_image',
-    'height': 600,
-    'width': 700,
-    'scale': 1,
-  }
-}
-
-config_path = "./app/azure/config.yaml"
-
-# Add the read-in data from the yaml file
-def read_config(filename):
-    with open(filename, 'r') as yaml_file:
-        config = yaml.safe_load(yaml_file)
-    return config
-
-config = read_config(config_path)
-path_parquet = config.get("path_parquet")
-conditions = config.get("conditions")
-col_features = config.get("col_features")
-col_counts = config.get("col_counts")
-col_mt = config.get("col_mt")
-
-# Import the data from one .parquet file
-df = pl.read_parquet(path_parquet)
-#df = df.rename({"__index_level_0__": "Unnamed: 0"})
-
-# Setup the app
-external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
-
-######################################################################
-# Define the FastAPI server
-app = FastAPI()
-# Mount the Dash app as a sub-application in the FastAPI server
-app.mount("/dashboard1", WSGIMiddleware(dashboard1.server))
-#app.mount("/dashboard2", WSGIMiddleware(dashboard2.server))
-
-# Define the main API endpoint
-@app.get("/")
-def index():
-    return "Hello"
-
-# Start the FastAPI server
-if __name__ == "__main__":
+import uvicorn
+from fastapi import FastAPI
+from fastapi.middleware.wsgi import WSGIMiddleware
+from dash_plotly_QC_scRNA import app as dashboard1
+#from app2 import app as dashboard2
+
+#########################################################
+import dash
+from dash import dcc, html, Output, Input
+import plotly.express as px
+import dash_callback_chain
+import yaml
+import polars as pl
+pl.enable_string_cache(False)
+
+# Set custom resolution for plots:
+config_fig = {
+  'toImageButtonOptions': {
+    'format': 'svg',
+    'filename': 'custom_image',
+    'height': 600,
+    'width': 700,
+    'scale': 1,
+  }
+}
+
+config_path = "./azure/config.yaml"
+
+# Add the read-in data from the yaml file
+def read_config(filename):
+    with open(filename, 'r') as yaml_file:
+        config = yaml.safe_load(yaml_file)
+    return config
+
+config = read_config(config_path)
+path_parquet = config.get("path_parquet")
+conditions = config.get("conditions")
+col_features = config.get("col_features")
+col_counts = config.get("col_counts")
+col_mt = config.get("col_mt")
+
+# Import the data from one .parquet file
+df = pl.read_parquet(path_parquet)
+#df = df.rename({"__index_level_0__": "Unnamed: 0"})
+
+# Setup the app
+external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
+
+######################################################################
+# Define the FastAPI server
+app = FastAPI()
+# Mount the Dash app as a sub-application in the FastAPI server
+app.mount("/dashboard1", WSGIMiddleware(dashboard1.server))
+#app.mount("/dashboard2", WSGIMiddleware(dashboard2.server))
+
+# Define the main API endpoint
+@app.get("/")
+def index():
+    return "Hello"
+
+# Start the FastAPI server
+if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0")