Update app.py

app.py

@@ -649,15 +649,16 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
     with gr.Tab("Fed data analysis"):
         gr.Markdown("## Sentiment Analysis Overview")
         # Display DataFrame
-        apply_btn = gr.Button("Apply", scale=0)
         df = pd.read_csv("data/2008_2024_minutes.csv", header = 0)
         df['Total_paragraphs']=df['Total_paragraphs']-df['Neutral']
         df['Positive_ratio'] = df['Positive'] / df['Total_paragraphs']*100
         df['Negative_ratio'] = df['Negative'] / df['Total_paragraphs']*100
         df['Date'] = pd.to_datetime(df['Date']) 
+        start_date = df['Date'].min().to_pydatetime()
+        end_date = df['Date'].max().to_pydatetime()
         with gr.Row():
-            start = gr.DateTime(df['Date'].min(), label="Start")
-            end = gr.DateTime(df['Date'].max(), label="End")
+            start = gr.DateTime(start_date, label="Start")
+            end = gr.DateTime(end_date, label="End")
             apply_btn = gr.Button("Apply", scale=0)
             reset_btn = gr.Button("Reset", scale=0)
         # data_table = gr.DataFrame(value=df[['Date', 'Positive_ratio', 'Negative_ratio', 'Total_paragraphs']], label="Sentiment Data", height=500)
@@ -674,5 +675,5 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
             #color = 'Ratio_Type'
         )
         apply_btn.click(lambda start,end: gr.LinePlot(x_lim=[start, end]), [start, end], line_plot)
-        reset_btn.click(lambda : gr.LinePlot(x_lim=[df['Date'].min(), df['Date'].max()]), [], line_plot)
+        reset_btn.click(lambda : gr.LinePlot(x_lim=[start_date, end_date]), [], line_plot)
 demo.launch()