Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import io
+import plotly.express as px
+import plotly.graph_objects as go
+import os
+
+# Define admin credentials
+ADMIN_EMAIL = os.environ["ACCOUNT"]
+ADMIN_PASSWORD = os.environ["PASSWORD"]
+
+# Variable to store uploaded grades file in memory
+grades_df = None
+
+# Admin login function
+def admin_login_function(email, password):
+    if (email == ADMIN_EMAIL and password == ADMIN_PASSWORD):
+        return gr.update(visible=False), gr.update(visible=True),
+    else:
+        raise gr.Error("wrong password 💥!", duration=5)
+
+
+# Intern login function
+def intern_login(email):
+    results = intern_view(email)
+    return gr.update(visible=False), gr.update(visible=True), results[0], results[1]
+
+# Admin upload function
+def admin_upload(file):
+    global grades_df
+    if file is not None:
+        grades_df = pd.read_excel(file.name)
+        return "File uploaded and processed successfully."
+    else:
+        return "Please upload a valid Excel file."
+
+# Function to generate performance analysis charts
+def performance_analysis():
+    if grades_df is not None:
+        # Ensure 'Created At' is datetime
+        grades_df['Created At'] = pd.to_datetime(grades_df['Created At'])
+        grades_df['Date'] = grades_df['Created At'].dt.date
+
+        # Group by date and calculate sum of grades
+        daily_performance = grades_df.groupby('Date')['Grade'].sum().reset_index()
+
+        # Line chart for daily performance
+        line_chart = px.line(daily_performance, x='Date', y='Grade', title='Daily Performance (Total Grades)')
+        
+        email_performance = grades_df.groupby('Email')['Grade'].sum().reset_index()
+        # Histogram of grades
+        histogram = px.histogram(email_performance, x='Grade', nbins=20, title='Grade Distribution')
+
+        # Box plot for grade statistics
+        box_plot = px.box(email_performance, y='Grade', title='Grade Statistics')
+
+        # Create a summary table
+        summary_stats = email_performance['Grade'].describe().reset_index()
+        summary_table = go.Figure(data=[go.Table(
+            header=dict(values=['Statistic', 'Value']),
+            cells=dict(values=[summary_stats['index'], summary_stats['Grade']])
+        )])
+        
+        return line_chart, histogram, box_plot, summary_table
+    else:
+        return None, None, None, None
+
+MAX_SCORE = 25*2  # Assuming the maximum possible score is 100
+
+def intern_view(email):
+    if grades_df is not None:
+        intern_grades = grades_df[grades_df['Email'] == email]
+        daily_performance =  intern_grades.groupby('Date')['Grade'].sum().reset_index()
+        line_chart = px.line(daily_performance, x='Date', y='Grade', title='Daily Performance (Total Grades)')
+        if not intern_grades.empty:
+            total_grade = intern_grades['Grade'].sum()
+            average_grade = intern_grades['Grade'].mean()
+            num_records = intern_grades.shape[0]
+
+            # Normalize the score to MAX_SCORE
+            normalized_score = min(total_grade / MAX_SCORE, 1)
+
+            # Determine the color level
+            if normalized_score <= 0.8:
+                color = "red"
+            else:
+                color = "green"
+# <div style="background-color:{color}; padding:10px; border-radius:5px;">
+#     **Performance Level**: {color.capitalize()}
+# </div>
+
+# - Quá 3 assignment đạt level đỏ sẽ phải liên hệ manager để giải trình 
+            # Return as a Markdown formatted string
+            return f"""
+### Grade Analysis for {email}
+
+- **Tổng điểm**: {normalized_score}
+- **số lần upload**: {num_records}
+""", line_chart
+        else:
+            return gr.Error("No records found for this email. 💥!", duration=5) 
+    else:
+        return gr.Error("No grades file uploaded. Please contact the admin.", duration=5)
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    with gr.Tab("Admin Login"):
+        with gr.Column(visible=True) as admin_login_section:
+            admin_email = gr.Textbox(label="Admin Email")
+            admin_password = gr.Textbox(label="Admin Password", type="password")
+            admin_login_button = gr.Button("Login")
+            admin_login_output = gr.Textbox(label="Admin Output")
+        
+        with gr.Column(visible=False) as admin_upload_section:
+            with gr.Column() as update_file_section:
+                admin_file = gr.File(label="Upload Grades Excel File")
+                admin_submit = gr.Button("Submit")
+                admin_file_output = gr.Textbox(label="File Upload Output")
+            
+            admin_analyze = gr.Button("Analyze")
+            admin_charts = gr.Plot()
+            admin_histogram = gr.Plot()
+            admin_box_plot = gr.Plot()
+            admin_summary_table = gr.Plot()
+
+        admin_login_button.click(
+            admin_login_function,
+            inputs=[admin_email, admin_password],
+            outputs=[admin_login_section, admin_upload_section],
+            show_progress=True,
+        )
+        admin_submit.click(
+            admin_upload,
+            inputs=[admin_file],
+            outputs=admin_file_output,
+        )
+        admin_analyze.click(
+            performance_analysis,
+            outputs=[admin_charts, admin_histogram, admin_box_plot, admin_summary_table],
+        )
+    
+    with gr.Tab("Intern Login"):
+        with gr.Column(visible=True) as intern_login_section:
+            intern_email = gr.Textbox(label="Intern Email")
+            intern_login_button = gr.Button("Find")
+            intern_login_output = gr.Textbox(label="Intern Output")
+        
+        with gr.Column(visible=False) as intern_info_section:
+            intern_output = gr.Markdown(label="Grade Analysis")
+            intern_charts = gr.Plot()
+
+        intern_login_button.click(
+            intern_login,
+            inputs=[intern_email],
+            outputs=[intern_login_section, intern_info_section, intern_output, intern_charts],
+            show_progress=True,
+        )
+        
+        # intern_submit.click(
+        #     intern_view,
+        #     inputs=[intern_email],
+        #     outputs=intern_output,
+        # )
+
+# Launch the app
+demo.launch(debug=True)