Update app.py

app.py

@@ -52,12 +52,18 @@ def extract_text_from_excel(file_obj: Union[str, os.PathLike, BinaryIO]) -> str:
     """Extract text from Excel file which can be a path, file-like object, or Gradio file object."""
     all_text = []
     try:
-        # Handle Gradio file object which has .name attribute
-        if hasattr(file_obj, 'name'):
+        # Handle different file input types
+        if hasattr(file_obj, 'name'):  # Gradio file object
             file_path = file_obj.name
-        else:
+        elif isinstance(file_obj, (str, os.PathLike)):  # Path string or Path object
+            file_path = file_obj
+        else:  # File-like object
             file_path = file_obj
             
+        # Verify file exists
+        if not os.path.exists(file_path):
+            raise ValueError(f"File not found at path: {file_path}")
+            
         xls = pd.ExcelFile(file_path)
     except Exception as e:
         raise ValueError(f"❌ Error reading Excel file: {e}")
@@ -73,7 +79,6 @@ def extract_text_from_excel(file_obj: Union[str, os.PathLike, BinaryIO]) -> str:
             continue
             
     return "\n".join(all_text)
-
 def split_text_into_chunks(text: str, max_tokens: int = MAX_CHUNK_TOKENS, max_chunks: int = 30) -> List[str]:
     effective_max = max_tokens - PROMPT_OVERHEAD
     lines, chunks, curr_chunk, curr_tokens = text.split("\n"), [], [], 0
@@ -143,6 +148,16 @@ def stream_report(agent, input_file: Union[str, BinaryIO], full_output: str) ->
             yield "❌ Please upload a valid Excel file.", None, ""
             return
 
+        # Verify file exists before processing
+        if hasattr(input_file, 'name'):
+            if not os.path.exists(input_file.name):
+                yield "❌ The uploaded file could not be found. Please try uploading again.", None, ""
+                return
+        elif isinstance(input_file, str):
+            if not os.path.exists(input_file):
+                yield "❌ The specified file path does not exist.", None, ""
+                return
+
         text = extract_text_from_excel(input_file)
         chunks = split_text_into_chunks(text)
 
@@ -184,7 +199,6 @@ def stream_report(agent, input_file: Union[str, BinaryIO], full_output: str) ->
 
     except Exception as e:
         yield f"❌ Error: {str(e)}", None, ""
-
 def create_ui(agent):
     with gr.Blocks(css="""
         body {