Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+
+# Demo Data
+employee_data = {
+    "Name": ["Alice Smith", "Bob Johnson", "Charlie Davis"],
+    "Role": ["Software Engineer", "Product Manager", "Data Scientist"],
+    "Performance Score": [85, 90, 95],
+    "Engagement Score": [88, 85, 92]
+}
+
+recruitment_data = {
+    "Candidate Name": ["John Doe", "Jane Roe", "Jim Poe"],
+    "Applied Position": ["DevOps Engineer", "UX Designer", "Backend Developer"],
+    "Status": ["Interview Scheduled", "Under Review", "Offer Extended"]
+}
+
+# Convert to DataFrames
+employee_df = pd.DataFrame(employee_data)
+recruitment_df = pd.DataFrame(recruitment_data)
+
+# Functions to display data
+def display_employee_data():
+    return employee_df
+
+def display_recruitment_data():
+    return recruitment_df
+
+# Create Gradio Interface
+with gr.Blocks() as demo:
+    with gr.Tabs():
+        with gr.TabItem("Dashboard"):
+            gr.Markdown("## HR System Dashboard")
+            with gr.Row():
+                gr.Markdown("### Key Metrics")
+                gr.Markdown("Total Employees: 3")
+                gr.Markdown("Average Performance Score: 90")
+                gr.Markdown("Average Engagement Score: 88.33")
+
+        with gr.TabItem("Employee Management"):
+            gr.Markdown("## Employee Management")
+            employee_table = gr.DataFrame(value=employee_df, label="Employee Data")
+            refresh_button = gr.Button("Refresh Data")
+            refresh_button.click(display_employee_data, outputs=employee_table)
+
+        with gr.TabItem("Recruitment"):
+            gr.Markdown("## Recruitment")
+            recruitment_table = gr.DataFrame(value=recruitment_df, label="Recruitment Data")
+            refresh_button = gr.Button("Refresh Data")
+            refresh_button.click(display_recruitment_data, outputs=recruitment_table)
+
+        with gr.TabItem("Performance Tracking"):
+            gr.Markdown("## Performance Tracking")
+            with gr.Row():
+                gr.Markdown("### Employee Performance")
+                gr.DataFrame(value=employee_df[['Name', 'Performance Score']], label="Performance Data")
+
+        with gr.TabItem("Engagement and Sentiment Analysis"):
+            gr.Markdown("## Engagement and Sentiment Analysis")
+            with gr.Row():
+                gr.Markdown("### Employee Engagement")
+                gr.DataFrame(value=employee_df[['Name', 'Engagement Score']], label="Engagement Data")
+
+        with gr.TabItem("Learning and Development"):
+            gr.Markdown("## Learning and Development")
+            gr.Markdown("### Personalized Learning Paths")
+            gr.Markdown("- Alice Smith: Advanced Python Course")
+            gr.Markdown("- Bob Johnson: Leadership Training")
+            gr.Markdown("- Charlie Davis: Machine Learning Workshop")
+
+        with gr.TabItem("Admin and Compliance"):
+            gr.Markdown("## Admin and Compliance")
+            gr.Markdown("### Recent Activities")
+            gr.Markdown("No recent activities.")
+
+demo.launch()