Update app.py

app.py

@@ -4,74 +4,35 @@ import traceback
 import tempfile
 import os
 import gradio as gr
-from typing import Tuple, Optional, Any # Added Any for file_data_binary
+from typing import Tuple, Optional, Any  # Added Any for file_data_binary
 
 # Import config first to ensure JAVA_HOME is set early
-import config 
+import config
 
-from main_analyzer import analyze_pdf 
+from main_analyzer import analyze_pdf
 # Import language_tool_python only for the test in __main__ if needed
-# import language_tool_python 
-
-def process_upload(file_data_binary: Optional[Any]) -> Tuple[str, Optional[str]]: # Use Optional[Any] for Gradio File type="binary"
-    if file_data_binary is None or not hasattr(file_data_binary, 'read'): # Check if it's a file-like object
-        # Gradio's binary type for gr.File returns a tempfile._TemporaryFileWrapper object
-        # If it's None, no file was uploaded.
-        # If it's not None but doesn't have 'read', it's an unexpected type.
-        # However, gradio usually passes the bytes directly if type="binary" was used in older versions
-        # or a TemporaryFileWrapper which is file-like.
-        # For robustness, let's check if it's bytes.
-        if isinstance(file_data_binary, bytes):
-             pass # Good, it's bytes
-        elif file_data_binary is None:
-             return json.dumps({"error": "No file uploaded or file data is None"}, indent=2), None
-        elif not hasattr(file_data_binary, 'read'): # It's not None, not bytes, not file-like
-             return json.dumps({"error": f"Unexpected file data type: {type(file_data_binary)}"}), None
-        # If it has 'read', it's a file-like object, proceed.
-
-    # analyze_pdf now handles stream-to-temp-file logic internally via original_pdf_access_path
-    # So we can pass the file_data_binary (which is a file-like object from Gradio) directly.
-
-
-
-
-
+# import language_tool_python
 
 
+def process_upload(file_data_binary: Optional[Any]) -> Tuple[str, Optional[str]]:
+    if file_data_binary is None or not hasattr(file_data_binary, 'read'):
+        if isinstance(file_data_binary, bytes):
+            pass  # Good, it's bytes
+        elif file_data_binary is None:
+            return json.dumps({"error": "No file uploaded or file data is None"}, indent=2), None
+        elif not hasattr(file_data_binary, 'read'):
+            return json.dumps({"error": f"Unexpected file data type: {type(file_data_binary)}"}), None
 
     try:
         print(f"App: Processing uploaded file...")
-        # If file_data_binary is bytes, wrap it in BytesIO for file-like interface
-        # analyze_pdf expects a path or a file-like object with read() and seek()
-        
-        # Gradio with type="binary" gives a tempfile._TemporaryFileWrapper.
-        # This object is already file-like and can be passed directly.
-        # No need to create another temp file here in app.py if main_analyzer handles it.
-        
-        # analyze_pdf will create its own temp file if it receives a stream.
-        results_dict, _ = analyze_pdf(file_data_binary) 
-        
-
-
-
-
-
-
+        results_dict, _ = analyze_pdf(file_data_binary)
         results_json = json.dumps(results_dict, indent=2, ensure_ascii=False)
-        return results_json, None 
+        return results_json, None
 
     except Exception as e:
         print(f"Error in process_upload: {e}\n{traceback.format_exc()}")
         error_message = json.dumps({"error": str(e), "traceback": traceback.format_exc()}, indent=2)
-
-
-
-
-
-
         return error_message, None
-    # No finally block needed here for temp file, as analyze_pdf handles its own if it creates one
-    # and Gradio handles the temp file wrapper it provides.
 
 
 def create_interface():
@@ -79,41 +40,50 @@ def create_interface():
         with gr.Row():
             file_input = gr.File(
                 label="Upload PDF",
-                file_types=[".pdf"],
-                # type="binary" # Gradio's File component returns a TemporaryFileWrapper which is file-like
-
+                file_types=[".pdf"]
+                # type="binary"
             )
-        
+
         with gr.Row():
-        
+            analyze_btn = gr.Button("Analyze PDF")
+
         with gr.Row():
             results_output = gr.JSON(
-                label="Analysis Results", # Simplified label
+                label="Analysis Results",
                 show_label=True
             )
-        
-            pdf_output = gr.File( 
+
+            pdf_output = gr.File(
                 label="Annotated PDF (Placeholder - View Coordinates in JSON)",
                 show_label=True,
-                interactive=False # Not interactive as it's a placeholder
+                interactive=False
             )
-        
+
         analyze_btn.click(
+            fn=process_upload,
+            inputs=file_input,
+            outputs=[results_output, pdf_output]
+        )
+
+    return interface
+
+
+if __name__ == "__main__":
     print("\n--- Launching Gradio Interface ---")
     # config.set_java_home() is called when config.py is imported.
 
     # Optional: Test LanguageTool initialization
     try:
-        import language_tool_python # Import here for the test
+        import language_tool_python
         lt_test = language_tool_python.LanguageTool('en-US')
         lt_test.close()
         print("App: LanguageTool initialized successfully for test.")
     except Exception as lt_e:
         print(f"App: Warning: Could not initialize LanguageTool for test. Language checks might fail: {lt_e}")
         print("Please ensure Java is installed and JAVA_HOME is correctly set (see config.py).")
-    
+
     app_interface = create_interface()
     app_interface.launch(
-        share=False, # Set to True for public link if ngrok is installed and desired
-        # server_port=7860 # Optionally specify a port
-    )
+        share=False,
+        # server_port=7860
+    )