Upload app.py with huggingface_hub

app.py

@@ -4,14 +4,30 @@ import plotly.graph_objects as go
 import gradio as gr
 import os
 
-# Get the current directory
-current_dir = os.path.dirname(os.path.abspath(__file__))
+# Debugging information
+print("Current working directory:", os.getcwd())
+print("Contents of current directory:", os.listdir())
 
-# Construct the file path
-file_path = os.path.join(current_dir, 'INSTITUTIONAL_INVESTORS_SCORE.csv')
+# Try multiple possible locations for the CSV file
+possible_locations = [
+    'INSTITUTIONAL_INVESTORS_SCORE.csv',
+    '/home/user/app/INSTITUTIONAL_INVESTORS_SCORE.csv',
+    '/content/INSTITUTIONAL_INVESTORS_SCORE.csv',
+    os.path.join(os.getcwd(), 'INSTITUTIONAL_INVESTORS_SCORE.csv')
+]
 
-# Load the data
-df = pd.read_csv(file_path)
+df = None
+for location in possible_locations:
+    try:
+        print(f"Trying to read from: {location}")
+        df = pd.read_csv(location)
+        print(f"Successfully read from: {location}")
+        break
+    except FileNotFoundError:
+        print(f"File not found at: {location}")
+
+if df is None:
+    raise FileNotFoundError("Could not find the CSV file in any of the expected locations.")
 
 # Clean the data
 df = df.dropna(subset=['final_score'])