Update app.py

app.py

@@ -136,14 +136,16 @@ def analyze_data(csv_file, additional_notes=""):
     
     agent = CodeAgent(tools=[], model=model, additional_authorized_imports=["numpy", "pandas", "matplotlib.pyplot", "seaborn", "sklearn", "json"])
     analysis_result = agent.run("""
-        You are a helpful data analysis agent. Just return insight information and visualization.
-        Load the data that is passed.do not create your own.
-        Automatically detect numeric columns and names.
-        2. 5 data visualizations
-        3. at least 5 insights from data
-        5. Generate publication-quality visualizations and save to './figures/'.
-        Do not use 'open()' or write to files. Just return variables and plots.
-        The dictionary should have the following structure:
+        You are a helpful data analysis agent. Follow these instructions EXACTLY:
+
+        1. Load the data from the given `source_file` ONLY.
+        2. Analyze the data structure and generate up to 5 visualizations and 5 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 output block.
+        6. Run only 5 iteration and return output quickly.
+
+        ⚠️ Output ONLY the following code block format, exactly:
         {
             'observations': {
                 'observation_1_key': 'observation_1_value',