Update app.py

app.py

@@ -53,12 +53,15 @@ agent = CodeAgent(
     additional_authorized_imports=["numpy", "pandas", "matplotlib.pyplot", "seaborn"]
 )
 
-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
+def run_agent(_):
+    global df_global
+    if df_global is None:
+        return "No data available. Please upload a file first."
+
+    # Save the cleaned DataFrame to a temp file for SmolAgent
+    temp_path = "./temp_cleaned_data.csv"
+    df_global.to_csv(temp_path, index=False)
 
-    # Run the agent analysis logic
     analysis_result = agent.run(
         """
         You are an expert data analyst. Perform comprehensive analysis including:
@@ -69,13 +72,14 @@ def run_agent(file_data):
         Generate publication-quality visualizations and save them to './figures/'.
         """,
         additional_args={
-            "additional_notes": additional_notes,  # Pass additional notes
-            "source_file": df_global  # Use the uploaded file's dataframe directly
+            "additional_notes": additional_notes,
+            "source_file": temp_path  # This is the key fix — pass the CSV file path
         }
     )
 
     return analysis_result
 
+
 # Optionally, you can inspect the results
 print(analysis_result)