Update app.py

app.py

@@ -194,12 +194,12 @@ def analyze_data(csv_file, additional_notes=""):
     raw_output = agent.run("""
         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.
+        2. Analyze the data 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 steps and return output in less than a minute.
-        7. DO NOT include any natural language (e.g., "Thoughts:", "Code:", explanations).
+        7. ONLY include natural language as observation value or insight value.
         8. ONLY output a single, valid JSON block. No markdown or extra text.
         9. Output ONLY the following JSON code block format, exactly:
         {
@@ -592,7 +592,7 @@ with gr.Blocks() as demo:
         with gr.Column():
             insights_output = gr.HTML(label="Insights from SmolAgent")
             visual_output = gr.Gallery(label="Visualizations (Auto-generated by Agent)", columns=2)
-            agent_btn = gr.Button("Run AI Agent (5 Insights + 5 Visualizations)")
+            agent_btn = gr.Button("Run AI Agent (3 Insights + 3 Visualizations)")
 
     with gr.Row():
         train_btn = gr.Button("Train Model with Optuna + WandB")