Update app.py

app.py

@@ -1,32 +1,24 @@
 import gradio as gr
-from modules.sentiment import sentiment_function  # โมดูลวิเคราะห์ความรู้สึก
-from modules.financial_analyst import financial_analysis_function  # โมดูลวิเคราะห์การเงิน
-from modules.translator import text_translator  # โมดูลแปลภาษา
-from modules.personal_info_identifier import identify_personal_info  # โมดูลตรวจสอบข้อมูลส่วนบุคคล
-from modules.churn_analysis import churn_prediction  # โมดูลทำนายการเลิกบริการ
 
-def run_all_functions(input_text):
-    sentiment_result = sentiment_function(input_text)
-    financial_result = financial_analysis_function(input_text)
-    translation_result = text_translator(input_text, "English")
-    personal_info_result = identify_personal_info(input_text)
-    churn_result = churn_prediction(input_text)
-    return sentiment_result, financial_result, translation_result, personal_info_result, churn_result
+# นำเข้าโมดูลแต่ละตัวจากโฟลเดอร์ modules
+from modules import sentiment, financial_analyst, translator, personal_info_identifier, churn_analysis
 
-with gr.Blocks() as demo:
-    gr.Markdown("# Multi-Function App")
-    gr.Markdown("### Combine various AI tasks into one platform")
+with gr.Blocks(title="All-in-One AI App") as app:
+    gr.Markdown("# 🤖 All-in-One AI Utilities App")
 
-    text_input = gr.Textbox(label="Enter text to analyze")
+    with gr.Tab("🌍 Text Translator"):
+        translator.demo.render()
 
-    sentiment_output = gr.Textbox(label="Sentiment Analysis")
-    financial_output = gr.Textbox(label="Financial Analysis")
-    translation_output = gr.Textbox(label="Translation Result")
-    personal_info_output = gr.Textbox(label="Personal Info Detection")
-    churn_output = gr.Textbox(label="Customer Churn Prediction")
+    with gr.Tab("😊 Sentiment Analysis"):
+        sentiment.demo.render()
 
-    run_button = gr.Button("Run All Functions")
+    with gr.Tab("📊 Financial Analyst AI"):
+        financial_analyst.demo.render()
 
-    run_button.click(fn=run_all_functions, inputs=text_input, outputs=[sentiment_output, financial_output, translation_output, personal_info_output, churn_output])
+    with gr.Tab("🔍 Personal Info Identifier"):
+        personal_info_identifier.demo.render()
 
-demo.launch()
+    with gr.Tab("📈 Customer Churn Prediction"):
+        churn_analysis.app.render()
+
+app.launch()