Update app.py

app.py

@@ -88,10 +88,6 @@ def clean_data(df):
     return df
 
 
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 # Add a extraction of JSON if CodeAgent Output is not in format
 
 import json
@@ -195,13 +191,13 @@ def analyze_data(csv_file, additional_notes=""):
 
     # Run agent on cleaned CSV
     raw_output = agent.run("""
-        You are a data analysis agent. Output in JSON only. Follow these instructions EXACTLY:
+        You are a data analysis agent. Output in JSON only. Follow these instructions EXACTLY without any deviation:
         1. Load the data from the given `source_file` ONLY. DO NOT create your OWN DATA.
         2. Analyze the data structure and generate up to 3 visualizations and 3 insights.
         3. Save all figures to `./figures` as PNG using matplotlib or seaborn.
         4. Use only authorized imports: `pandas`, `numpy`, `matplotlib.pyplot`, `seaborn`, `json`.
         5. DO NOT return any explanations, thoughts, or narration outside the final JSON block
-        6. Run only 5 iteration and return output quickly.
+        6. Run only 5 steps and return output in less than a minute.
         7. DO NOT include any natural language (e.g., "Thoughts:", "Code:", explanations).
         8. ONLY output a single, valid JSON block. No markdown or extra text.
         9. Output ONLY the following JSON code block format, exactly:
@@ -424,10 +420,6 @@ def compare_models():
 
     return results_df, plot_path
 
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 # 1. prepare_data should come first
 def prepare_data(df):