Update app.py

app.py

@@ -53,12 +53,12 @@ agent = CodeAgent(
     additional_authorized_imports=["numpy", "pandas", "matplotlib.pyplot", "seaborn"]
 )
 
-# Modify `run_agent` to directly use the cleaned `df_global`
-def run_agent(_):
-    if df_global is None or df_global.empty:
-        return "No data available for analysis."
+def run_agent(file_data):
+    # Ensure that the file data is being used here
+    global df_global  # Use the global df_global if required
+    df_global = file_data  # Set the global df to the uploaded data
 
-    # Use the cleaned data (df_global) for analysis
+    # Run the agent analysis logic
     analysis_result = agent.run(
         """
         You are an expert data analyst. Perform comprehensive analysis including:
@@ -70,11 +70,11 @@ def run_agent(_):
         """,
         additional_args={
             "additional_notes": additional_notes,  # Pass additional notes
-            "source_file": "uploaded_file.csv"  # Use the appropriate file name or path if needed
+            "source_file": df_global  # Use the uploaded file's dataframe directly
         }
     )
-    return analysis_result
 
+    return analysis_result
 
 # Optionally, you can inspect the results
 print(analysis_result)