rm examples and debug prints

app.py

@@ -2,8 +2,6 @@ import glob
 import gradio as gr
 import numpy as np
 from PIL import Image
-import psutil
-from threading import Timer
 from transformers import MaskFormerForInstanceSegmentation, MaskFormerImageProcessor
 
 
@@ -75,15 +73,6 @@ def query_image(image_path):
     return mask_img, dataframe
 
 
-def get_system_memory():
-    memory = psutil.virtual_memory()
-    memory_percent = memory.percent
-    memory_used = memory.used / (1024.0 ** 3)
-    memory_total = memory.total / (1024.0 ** 3)
-    print({"used": f"{memory_used:.3f}GB", "total": f"{memory_total:.3f}GB", "percent": f"{memory_percent}%"})
-    return ""
-
-
 demo = gr.Interface(
     title="Maskformer (large-coco)",
     description="Using [facebook/maskformer-swin-large-coco](https://huggingface.co/facebook/maskformer-swin-large-coco) model to calculate percentage of pixels in an image that belong to vegetation.",
@@ -102,36 +91,4 @@ demo = gr.Interface(
     analytics_enabled=None
 )
 
-
-class RepeatedTimer(object):
-    def __init__(self, interval, function, *args, **kwargs):
-        self._timer     = None
-        self.interval   = interval
-        self.function   = function
-        self.args       = args
-        self.kwargs     = kwargs
-        self.is_running = False
-        self.start()
-
-    def _run(self):
-        self.is_running = False
-        self.start()
-        self.function(*self.args, **self.kwargs)
-
-    def start(self):
-        if not self.is_running:
-            self._timer = Timer(self.interval, self._run)
-            self._timer.start()
-            self.is_running = True
-
-    def stop(self):
-        self._timer.cancel()
-        self.is_running = False
-
-rt = RepeatedTimer(1, get_system_memory)
-
-try:
-    print("launch")
-    demo.queue().launch(show_api=False, debug=True)
-finally:
-    rt.stop()
+demo.launch(show_api=False)

requirements.txt

@@ -1,5 +1,4 @@
 Pillow
-psutil
 scipy
 torch
 transformers