Update app.py

app.py

@@ -22,7 +22,7 @@ agent = ReactCodeAgent(
 
 base_prompt = """You are an expert data analyst.
 According to the features you have and the data structure given below, determine which feature should be the target.
-Then list 3 interesting questions that could be asked on this data, for instance about specific correlations with target variable.
+Then list 5 interesting questions that could be asked on this data, for instance about specific correlations with target variable.
 Then answer these questions one by one, by finding the relevant numbers.
 Meanwhile, plot some figures using matplotlib/seaborn and save them to the (already existing) folder './figures/': take care to clear each figure with plt.clf() before doing another plot.
 
@@ -101,11 +101,11 @@ def interact_with_agent(file_input, additional_notes):
 
 with gr.Blocks(
     theme=gr.themes.Soft(
-        primary_hue=gr.themes.colors.yellow,
+        primary_hue=gr.themes.colors.green,
         secondary_hue=gr.themes.colors.blue,
     )
 ) as demo:
-    gr.Markdown("""# Llama-3.1 Data analyst 📊🤔
+    gr.Markdown("""# Agentville Data analyst 📊
 
 Drop a `.csv` file below, add notes to describe this data if needed, and **Llama-3.1-70B will analyze the file content and draw figures for you!**""")
     file_input = gr.File(label="Your file to analyze")