Update app.py

app.py

@@ -470,63 +470,66 @@ def convert_to_dataframe(analyzed_articles):
     
     return df[["Sentiment", "Title", "Description", "Date", "Base Score", "Weight", "Total Score"]]
 
-with gr.Blocks() as iface:
-    gr.Markdown("# Trading Asset Sentiment Analysis")
-    gr.Markdown(
-        "Enter the name of a trading asset, and I'll fetch recent articles and analyze their sentiment!"
-    )
-    
-    with gr.Row():
-        input_asset = gr.Textbox(
-            label="Asset Name",
-            lines=1,
-            placeholder="Enter the name of the trading asset...",
+def main():
+    with gr.Blocks() as iface:
+        gr.Markdown("# Trading Asset Sentiment Analysis")
+        gr.Markdown(
+            "Enter the name of a trading asset, and I'll fetch recent articles and analyze their sentiment!"
         )
-    
-    with gr.Row():
-        analyze_button = gr.Button("Analyze Sentiment", size="sm")
-    
-    gr.Examples(
-        examples=[
-            "Bitcoin",
-            "Tesla",
-            "Apple",
-            "Amazon",
-        ],
-        inputs=input_asset,
-    )
-    
-    # 주식 차트 영역 추가
-    with gr.Row():
-        with gr.Column():
-            with gr.Blocks():
-                gr.Markdown("## Stock Chart")
-                with gr.Row():
-                    stock_chart = gr.Image(type="filepath", label="Stock Price Chart")
-                    ticker_info = gr.Textbox(label="Ticker Symbol")
-    
-    with gr.Row():
-        with gr.Column():
-            with gr.Blocks():
-                gr.Markdown("## Sentiment Summary")
-                sentiment_summary = gr.Image(type="filepath", label="Sentiment Analysis Summary")
-    
-    with gr.Row():
-        with gr.Column():
-            with gr.Blocks():
-                gr.Markdown("## Articles and Sentiment Analysis")
-                articles_output = gr.Dataframe(
-                    headers=["Sentiment", "Title", "Description", "Date", "Base Score", "Weight", "Total Score"],
-                    datatype=["markdown", "html", "markdown", "markdown", "number", "markdown", "markdown"],
-                    wrap=False,
-                )
-    
-    # 분석 버튼 콜백 함수 연결
-analyze_button.click(
-        analyze_asset_sentiment,
-        inputs=[input_asset],
-        outputs=[articles_output, sentiment_summary, stock_chart, ticker_info],
-    )
+        
+        with gr.Row():
+            input_asset = gr.Textbox(
+                label="Asset Name",
+                lines=1,
+                placeholder="Enter the name of the trading asset...",
+            )
+        
+        with gr.Row():
+            analyze_button = gr.Button("Analyze Sentiment", size="sm")
+        
+        gr.Examples(
+            examples=[
+                "Bitcoin",
+                "Tesla",
+                "Apple",
+                "Amazon",
+            ],
+            inputs=input_asset,
+        )
+        
+        # 주식 차트 영역 추가
+        with gr.Row():
+            with gr.Column():
+                with gr.Blocks():
+                    gr.Markdown("## Stock Chart")
+                    with gr.Row():
+                        stock_chart = gr.Image(type="filepath", label="Stock Price Chart")
+                        ticker_info = gr.Textbox(label="Ticker Symbol")
+        
+        with gr.Row():
+            with gr.Column():
+                with gr.Blocks():
+                    gr.Markdown("## Sentiment Summary")
+                    sentiment_summary = gr.Image(type="filepath", label="Sentiment Analysis Summary")
+        
+        with gr.Row():
+            with gr.Column():
+                with gr.Blocks():
+                    gr.Markdown("## Articles and Sentiment Analysis")
+                    articles_output = gr.Dataframe(
+                        headers=["Sentiment", "Title", "Description", "Date", "Base Score", "Weight", "Total Score"],
+                        datatype=["markdown", "html", "markdown", "markdown", "number", "markdown", "markdown"],
+                        wrap=False,
+                    )
+        
+        analyze_button.click(
+            analyze_asset_sentiment,
+            inputs=[input_asset],
+            outputs=[articles_output, sentiment_summary, stock_chart, ticker_info],
+        )
+
+    logging.info("Launching Gradio interface")
+    iface.queue().launch()
 
-logging.info("Launching Gradio interface")
-iface.queue().launch()
+if __name__ == "__main__":
+    main()