Update app.py

app.py

@@ -8,7 +8,6 @@ import sys
 from subprocess import call
 
 
-torch.hub.download_url_to_file('https://i.imgur.com/tXrot31.jpg', 'cpu.jpg')
 
 torch.hub.download_url_to_file('http://people.csail.mit.edu/billf/project%20pages/sresCode/Markov%20Random%20Fields%20for%20Super-Resolution_files/100075_lowres.jpg', 'bear.jpg')
   
@@ -44,27 +43,13 @@ def inference(img):
     return os.path.join(OUTPUT_DIR, "1_out.jpg")
 
 
-inferences_running = 0
-def throttled_inference(image):
-    global inferences_running
-    current = inferences_running
-    if current >= 5:
-        print(f"Rejected inference when we already had {current} running")
-        return "cpu.jpg"
-    print(f"Inference starting when we already had {current} running")
-    inferences_running += 1
-    try:
-        return inference(image)
-    finally:
-        print("Inference finished")
-        inferences_running -= 1
         
 title = "Real-ESRGAN"
 description = "Gradio demo for Real-ESRGAN. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/xinntao/Real-ESRGAN'>Github Repo</a></p>"
 
 gr.Interface(
-    throttled_inference, 
+    inference, 
     [gr.inputs.Image(type="pil", label="Input")], 
     gr.outputs.Image(type="file", label="Output"),
     title=title,