Update app.py

app.py

@@ -122,6 +122,23 @@ def explain_usage(app_content: str):
     except Exception as e:
         return f"사용법 설명 생성 중 오류 발생: {str(e)}"
 
+def adjust_lines_for_code(code_content: str, min_lines: int = 10, max_lines: int = 100) -> int:
+    """
+    코드 내용에 따라 lines 수를 동적으로 조정합니다.
+    
+    Parameters:
+    - code_content (str): 코드 텍스트 내용
+    - min_lines (int): 최소 lines 수
+    - max_lines (int): 최대 lines 수
+    
+    Returns:
+    - int: 설정된 lines 수
+    """
+    # 코드의 줄 수 계산
+    num_lines = len(code_content.split('\n'))
+    # 줄 수가 min_lines보다 적다면 min_lines 사용, max_lines보다 크면 max_lines 사용
+    return min(max(num_lines, min_lines), max_lines)
+
 def analyze_space(url: str, progress=gr.Progress()):
     try:
         space_id = url.split('spaces/')[-1]
@@ -148,12 +165,15 @@ def analyze_space(url: str, progress=gr.Progress()):
         progress(0.9, desc="사용법 설명 생성 중...")
         usage = explain_usage(app_content)
         
+        # 줄 수 계산하여 lines 설정
+        app_py_lines = adjust_lines_for_code(app_content)
+        
         progress(1.0, desc="완료")
-        return app_content, tree_view, tree_structure, space_id, summary, analysis, usage
+        return app_content, tree_view, tree_structure, space_id, summary, analysis, usage, app_py_lines
     except Exception as e:
         print(f"Error in analyze_space: {str(e)}")
         print(traceback.format_exc())
-        return f"오류가 발생했습니다: {str(e)}", "", None, "", "", "", ""
+        return f"오류가 발생했습니다: {str(e)}", "", None, "", "", "", "", 10
 
 def respond(message: str, chat_history: List[Dict[str, str]], max_tokens: int, temperature: float, top_p: float) -> str:
     system_message = """당신은 허깅페이스에 특화된 AI 코딩 전문가입니다. 사용자의 질문에 친절하고 상세하게 답변해주세요. 
@@ -280,47 +300,25 @@ def create_ui():
 
             space_id_state = gr.State()
             tree_structure_state = gr.State()
+            app_py_content_lines = gr.State()
 
             analyze_button.click(
                 analyze_space,
                 inputs=[url_input],
-                outputs=[app_py_content, tree_view_output, tree_structure_state, space_id_state, summary_output, analysis_output, usage_output]
+                outputs=[app_py_content, tree_view_output, tree_structure_state, space_id_state, summary_output, analysis_output, usage_output, app_py_content_lines]
             ).then(
                 lambda space_id: get_file_content(space_id, "requirements.txt"),
                 inputs=[space_id_state],
                 outputs=[requirements_content]
             )
 
+            # lines 수를 동적으로 설정
+            app_py_content.change(lambda lines: gr.update(lines=lines), inputs=[app_py_content_lines], outputs=[app_py_content])
+
         return demo
 
     except Exception as e:
         print(f"Error in create_ui: {str(e)}")
         print(traceback.format_exc())
         raise
-
-if __name__ == "__main__":
-    try:
-        print("Starting HuggingFace Space Analyzer...")
-        demo = create_ui()
-        print("UI created successfully.")
-        
-        print("Configuring Gradio queue...")
-        demo.queue()
-        print("Gradio queue configured.")
-        
-        print("Launching Gradio app...")
-        demo.launch(
-            server_name="0.0.0.0",
-            server_port=7860,
-            share=False,
-            debug=True,
-            show_api=False
-        )
-        print("Gradio app launched successfully.")
-    except Exception as e:
-        print(f"Error in main: {str(e)}")
-        print("Detailed error information:")
-        print(traceback.format_exc())
-        raise
-
-print("Script execution completed.")                        
+