Update app.py

app.py

@@ -1,8 +1,5 @@
 import gradio as gr
 import pandas as pd
-import dash
-from dash import dcc, html
-from dash.dependencies import Input, Output
 import plotly.express as px
 
 # Function to get exam data
@@ -23,62 +20,31 @@ def get_exam_data():
     df['Exam Date'] = pd.to_datetime(df['Exam Date'])
     return df
 
-# Dash App
-app = dash.Dash(__name__)
-
+# Load exam data
 df = get_exam_data()
 
-app.layout = html.Div([
-    dcc.DatePickerRange(
-        id='date-picker-range',
-        min_date_allowed=df['Exam Date'].min(),
-        max_date_allowed=df['Exam Date'].max(),
-        initial_visible_month=df['Exam Date'].min(),
-        start_date=df['Exam Date'].min(),
-        end_date=df['Exam Date'].max()
-    ),
-    html.Div(id='output-container-date-picker-range'),
-    html.Div(id='exam-details', style={'marginTop': 20})
-])
-
-@app.callback(
-    Output('output-container-date-picker-range', 'children'),
-    [Input('date-picker-range', 'start_date'),
-     Input('date-picker-range', 'end_date')]
-)
-def update_output(start_date, end_date):
-    dff = df[(df['Exam Date'] >= start_date) & (df['Exam Date'] <= end_date)]
-    if dff.empty:
-        return "No exams scheduled for the selected period."
-    return dcc.Graph(
-        id='calendar',
-        figure=px.timeline(dff, x_start="Exam Date", x_end="Exam Date", y="Exam Name", 
-                           color="Exam Name", hover_data=["Details"],
-                           title="Exams Scheduled")
-    )
-
-@app.callback(
-    Output('exam-details', 'children'),
-    [Input('calendar', 'clickData')]
-)
-def display_exam_details(clickData):
-    if clickData:
-        exam_name = clickData['points'][0]['y']
-        details = df[df['Exam Name'] == exam_name]['Details'].values[0]
-        return f"Details for {exam_name}: {details}"
-    return "Click on an exam to see the details."
-
-def launch_dash():
-    app.run_server(debug=True, use_reloader=False)
-
-# Create a Gradio interface to launch the Dash app
-interface = gr.Interface(
-    fn=launch_dash,
-    inputs=[],
-    outputs=gr.HTML(value="Launching Dash App..."),  # Minimal output to satisfy Gradio
-    title="Indian Government Exams Calendar",
-    description="Explore upcoming Indian government exams on a month-wise calendar."
-)
+# Function to filter exams by month and generate plot
+def filter_exams(month_year):
+    filtered_df = df[df['Exam Date'].dt.strftime('%B %Y') == month_year]
+    if not filtered_df.empty:
+        fig = px.timeline(filtered_df, x_start="Exam Date", x_end="Exam Date", y="Exam Name", color="Exam Name", hover_data=["Details"])
+        fig.update_layout(xaxis_title="Date", yaxis_title="Exam")
+        return fig, f"Exams scheduled for {month_year}"
+    else:
+        return None, f"No exams scheduled for {month_year}"
+
+# List of unique months in the dataset
+months = df['Exam Date'].dt.strftime('%B %Y').unique().tolist()
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Indian Government Exams Calendar")
+    month_dropdown = gr.Dropdown(choices=months, label="Select Month")
+    plot_output = gr.Plot(label="Exam Timeline")
+    text_output = gr.Textbox(label="Exam Details")
+    
+    month_dropdown.change(fn=filter_exams, inputs=month_dropdown, outputs=[plot_output, text_output])
 
+# Launch the Gradio app
 if __name__ == "__main__":
-    interface.launch()
+    demo.launch()