Update app.py

app.py

@@ -310,9 +310,7 @@ def read_fasta_file(file_obj):
     except Exception as e:
         logger.error(f"Failed to read FASTA file: {e}", exc_info=True)
         return ""
-import gradio as gr
 
-@gr.queue()
 def run_pipeline(dna_input, similarity_score=95.0, build_ml_tree=False):
     try:
         dna_input = dna_input.upper().strip()
@@ -404,7 +402,6 @@ Tree Analysis: {'✅ OK' if 'Found' in simplified_ml_output else '❌ Failed'}
         error_msg = f"❌ Pipeline Error: {str(e)}"
         return error_msg, "", "", "", "", None, None, None, None, error_msg, error_msg, None, None
 
-@gr.queue()
 async def run_pipeline_from_file(fasta_file_obj, similarity_score, build_ml_tree):
     temp_file_path = None
     try:
@@ -433,6 +430,7 @@ async def run_pipeline_from_file(fasta_file_obj, similarity_score, build_ml_tree
                 os.unlink(temp_file_path)
             except Exception as e:
                 logger.warning(f"Failed to delete temp file {temp_file_path}: {e}")
+
 # --- Pydantic Models ---
 class AnalysisRequest(BaseModel):
     sequence: str
@@ -760,10 +758,14 @@ def create_gradio_interface():
 
 # --- Application Startup ---
 def run_application():
+    e = None  # Predefine e to avoid free variable error
+    fallback_error = None  # Predefine fallback_error for clarity
+    gradio_app = None  # Predefine gradio_app for cleanup
     try:
         gradio_app = create_gradio_interface()
         gradio_app = gr.mount_gradio_app(app, gradio_app, path="/gradio")
         logger.info("🚀 Starting Gene Analysis Pipeline...")
+        logger.warning("⚠️ Running without request queuing. Concurrent requests may block.")
         logger.info("📊 FastAPI docs available at: http://localhost:7860/docs")
         logger.info("🧬 Gradio interface available at: http://localhost:7860/gradio")
         uvicorn.run(
@@ -777,6 +779,7 @@ def run_application():
         try:
             logger.info("🔄 Falling back to Gradio-only mode...")
             gradio_app = create_gradio_interface()
+            logger.warning("⚠️ Running without request queuing in fallback mode.")
             gradio_app.launch(
                 server_name="0.0.0.0",
                 server_port=7860,
@@ -786,6 +789,18 @@ def run_application():
         except Exception as fallback_error:
             logger.error(f"Fallback failed: {fallback_error}", exc_info=True)
             print("❌ Application failed to start. Check logs for details.")
+        finally:
+            if gradio_app:
+                try:
+                    gradio_app.close()
+                except Exception as close_error:
+                    logger.warning(f"Failed to close Gradio app in fallback: {close_error}")
+    finally:
+        if gradio_app:
+            try:
+                gradio_app.close()
+            except Exception as close_error:
+                logger.warning(f"Failed to close Gradio app: {close_error}")
 
 # --- Main Entry Point ---
 if __name__ == "__main__":