remove gr.load

.gradio/flagged/dataset1.csv

@@ -0,0 +1,2 @@
+name,output,timestamp
+,,2024-12-20 23:48:03.557001

.gradio/flagged/dataset2.csv

@@ -0,0 +1,2 @@
+Type name here:,output,timestamp
+raaa,Helloraaa,2024-12-20 23:56:47.403516

app.py

@@ -3,12 +3,10 @@ from huggingface_hub import hf_hub_download
 from PIL import Image
 import torch
 from transformers import AutoImageProcessor, AutoModelForObjectDetection
-
-gr.load("models/microsoft/table-transformer-structure-recognition").launch()
+#gr.load("models/microsoft/table-transformer-structure-recognition").launch()
 # Load the processor and model for table structure recognition
 processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-structure-recognition")
 model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-structure-recognition")
-
 # Define the inference function
 def predict(image):
     # Preprocess the input image