Update app.py

app.py

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+import pandas as pd
+import gradio as gr
+
+# Load the CSV file (adjust the file path as necessary)
+data = pd.read_csv("桌遊答案CSV檔.csv")
+
+def query_data(clue_number):
+    try:
+        clue_number = int(clue_number)
+        row = data[data['蛛絲馬跡'] == clue_number]
+        if not row.empty:
+            suspect = row['嫌疑犯'].values[0]
+            direct_evidence = row['直接證據'].values[0]
+            indirect_evidence = row['間接證據'].values[0] if not pd.isna(row['間接證據'].values[0]) else "無間接證據"
+            return f"嫌疑犯: {suspect}\n直接證據: {direct_evidence}", indirect_evidence, gr.update(visible=True)
+        else:
+            return "未找到相關資料，請檢查蛛絲馬跡號碼是否正確。", "", gr.update(visible=False)
+    except ValueError:
+        return "請輸入有效的數字。", "", gr.update(visible=False)
+
+def reset_fields():
+    return "", "", gr.update(visible=False)
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("<h1>嫌疑犯ABC的現身</h1>")
+    gr.Markdown("<h3>法官系統</h3>")
+
+    with gr.Row():
+        input_box = gr.Textbox(label="請輸入蛛絲馬跡號碼", placeholder="例如: 11", lines=1)
+        query_button = gr.Button("查詢")
+
+    output_box = gr.Textbox(label="查詢結果", interactive=False)
+    indirect_button = gr.Button("間接證據", visible=False)
+    indirect_output = gr.Textbox(label="間接證據內容", interactive=False, visible=False)
+    reset_button = gr.Button("重新查詢")
+
+    # Bind actions to functions
+    query_button.click(query_data, inputs=input_box, outputs=[output_box, indirect_output, indirect_button])
+    indirect_button.click(lambda evidence: evidence, inputs=indirect_output, outputs=indirect_output)
+    reset_button.click(reset_fields, inputs=None, outputs=[input_box, output_box, indirect_button])
+
+# Save this script as a Python file and run it to launch the app