import gradio as gr import pandas as pd # Demo Data employee_data = { "Name": ["Alice Smith", "Bob Johnson", "Charlie Davis"], "Role": ["Case Worker", "Program Manager", "Data Analyst"], "Performance Score": [85, 90, 95], "Engagement Score": [88, 85, 92], "Years of Service": [3, 5, 2], "Languages Spoken": ["English, Spanish", "English, French", "English, Mandarin"] } recruitment_data = { "Candidate Name": ["John Doe", "Jane Roe", "Jim Poe"], "Applied Position": ["Community Outreach Coordinator", "Volunteer Coordinator", "Fundraising Specialist"], "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") gr.Markdown("### Performance Metrics") gr.DataFrame(value=employee_df[['Name', 'Performance Score']], label="Performance Data") gr.Markdown("### Performance Planning") gr.Markdown("- Setting SMART goals and regular performance reviews​``【oaicite:2】``​.") gr.Markdown("### Training and Development Plans") gr.Markdown("Identify training needs and track progress on development plans.") with gr.TabItem("Engagement and Sentiment Analysis"): gr.Markdown("## Engagement and Sentiment Analysis") gr.Markdown("### Engagement Scores") gr.DataFrame(value=employee_df[['Name', 'Engagement Score']], label="Engagement Data") gr.Markdown("### Sentiment Analysis") gr.Markdown("Analyze employee feedback to identify trends​``【oaicite:1】``​.") with gr.TabItem("Learning and Development"): gr.Markdown("## Learning and Development") gr.Markdown("### Personalized Learning Paths") gr.Markdown("- Alice Smith: Advanced Case Management Training") gr.Markdown("- Bob Johnson: Leadership and Management Training") gr.Markdown("- Charlie Davis: Data Analytics and Reporting Workshop") gr.Markdown("### Skill Gap Analysis") gr.Markdown("Identify and address skill gaps within the workforce.") gr.Markdown("### Language Training") gr.Markdown("Offer language courses to enhance communication with diverse immigrant communities.") with gr.TabItem("Admin and Compliance"): gr.Markdown("## Admin and Compliance") gr.Markdown("### Recent Activities") gr.Markdown("No recent activities.") gr.Markdown("### Compliance Checklist") gr.Markdown("- Adherence to employment standards, health and safety regulations, and human rights laws​``【oaicite:0】``​.") gr.Markdown("### Documentation") gr.Markdown("Ensure all employee and organizational documents are up-to-date and comply with regulations.") with gr.TabItem("Programs and Initiatives"): gr.Markdown("## Programs and Initiatives") gr.Markdown("### Ongoing Projects") gr.Markdown("- Community Outreach Program: Engaging local communities to support immigrants.") gr.Markdown("- Volunteer Program: Coordinating volunteer efforts to assist with service delivery.") gr.Markdown("- Fundraising Campaign: Raising funds to support organizational goals and services.") gr.Markdown("### Success Stories") gr.Markdown("Highlight success stories of immigrants who have benefited from the programs.") demo.launch()