| import gradio as gr |
| from huggingface_hub import InferenceClient |
| import pandas as pd |
|
|
| df = pd.read_csv("Diemthi2024_processed.csv") |
|
|
| def respond( |
| sbd, khoi |
| ): |
| score = df[df['sbd'] == int(sbd)] |
| count_all = (df[khoi] >= score[khoi].iloc[0]).sum() |
| count_kv = ((df[khoi] >= score[khoi].iloc[0]) & (df['kv'] == score['kv'].iloc[0])).sum() |
| count_tinh = ((df[khoi] >= score[khoi].iloc[0]) & (df['tinh'] == score['tinh'].iloc[0])).sum() |
|
|
| return f"""Your score is {score[khoi].iloc[0]} |
| National Ranking: {count_all} |
| Regional Ranking: {count_kv} |
| Provincal Ranking: {count_tinh}""" |
|
|
| """ |
| Chatbot |
| """ |
| with gr.Blocks() as demo: |
| gr.Markdown( |
| """ |
| <style> |
| .gr-button-secondary { |
| width: 100px; |
| height: 30px; |
| padding: 5px; |
| } |
| .gr-row { |
| display: flex; |
| align-items: center; |
| gap: 10px; |
| } |
| .gr-block { |
| padding: 20px; |
| } |
| .gr-markdown p { |
| font-size: 16px; |
| } |
| </style> |
| <span style='font-family: Arial, sans-serif; font-size: 20px;'>National Graduation Exam Score Ranking</span> |
| <p style='font-family: Arial, sans-serif;'>Input your ID and your combination:</p> |
| """ |
| ) |
| with gr.Row(): |
| id = gr.Textbox(placeholder="Input your ID", label="", lines=1) |
| comb = gr.Dropdown( |
| ["A00", "A01", "B00", "C00", "C03", "D01", "D07"], label="Combination", info="Will add more combinations later!" |
| ) |
| |
| with gr.Row(): |
| check_button = gr.Button("Rank now!", variant="primary") |
|
|
| out = gr.Textbox(label="OUTPUT", placeholder="", lines=2) |
| |
| check_button.click(fn=respond, inputs=[id,comb], outputs=out) |
|
|
| if __name__ == "__main__": |
| demo.launch() |