Update app.py

app.py

@@ -204,24 +204,31 @@ class UnifiedAudioConverter:
     def extract_text_from_pdf(self, pdf_file) -> str:
         """Extract text content from PDF file"""
         try:
-            # 임시 파일로 저장
-            with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_file:
-                tmp_file.write(pdf_file.read())
-                tmp_path = tmp_file.name
+            # Gradio returns file path, not file object
+            if isinstance(pdf_file, str):
+                pdf_path = pdf_file
+            else:
+                # If it's a file object (shouldn't happen with Gradio)
+                with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_file:
+                    tmp_file.write(pdf_file.read())
+                    pdf_path = tmp_file.name
             
             # PDF 로드 및 텍스트 추출
-            loader = PyPDFLoader(tmp_path)
+            loader = PyPDFLoader(pdf_path)
             pages = loader.load()
             
             # 모든 페이지의 텍스트를 결합
             text = "\n".join([page.page_content for page in pages])
             
-            # 임시 파일 삭제
-            os.unlink(tmp_path)
+            # 임시 파일인 경우 삭제
+            if not isinstance(pdf_file, str) and os.path.exists(pdf_path):
+                os.unlink(pdf_path)
             
             return text
         except Exception as e:
             raise RuntimeError(f"Failed to extract text from PDF: {e}")
+    
+
 
     def _get_messages_formatter_type(self, model_name):
         """Get appropriate message formatter for the model"""
@@ -680,6 +687,7 @@ async def synthesize(article_input, input_type: str = "URL", mode: str = "Local"
         else:  # PDF
             if not article_input:
                 return "Please upload a PDF file.", None
+            # Gradio returns the file path as a string
             text = converter.extract_text_from_pdf(article_input)
         
         # Limit text to max words