Update app.py

app.py

@@ -10,8 +10,8 @@ import requests
 
 from PIL import Image
 
-
-URL = "http://127.0.0.1:8188/prompt"
+print ("1")
+URL = "http://0.0.0.0:8188/prompt"
 INPUT_DIR = "input"
 OUTPUT_DIR = "output"
 
@@ -24,41 +24,51 @@ def get_latest_image(folder):
     latest_image = os.path.join(folder, image_files[-1]) if image_files else None
     return latest_image
 
+print ("2")
 
 def start_queue(prompt_workflow):
     p = {"prompt": prompt_workflow}
     data = json.dumps(p).encode('utf-8')
     requests.post(URL, data=data)
 
+print ("3")
 
 def generate_image(input_image):   
     with open("workflow.json", "r") as file_json:
         prompt = json.load(file_json)
+    print ("4")
 
     prompt["3"]["inputs"]["seed"] = random.randint(1, 1500000)
     global cached_seed
     if cached_seed == prompt["3"]["inputs"]["seed"]:
         return get_latest_image(OUTPUT_DIR)
     cached_seed = prompt["3"]["inputs"]["seed"]
+    print ("5")
     
     image = Image.fromarray(input_image)
     min_side = min(image.size)
     scale_factor = 512 / min_side
     new_size = (round(image.size[0] * scale_factor), round(image.size[1] * scale_factor))
     resized_image = image.resize(new_size)
+    print ("6")
 
     resized_image.save(os.path.join(INPUT_DIR, "test_api.jpg"))
 
     previous_image = get_latest_image(OUTPUT_DIR)
     
     start_queue(prompt)
+    print ("7")
 
     while True:
+        print ("8")
+        
         latest_image = get_latest_image(OUTPUT_DIR)
         if latest_image != previous_image:
             return latest_image
+        print ("9")
 
         time.sleep(1)
 
 demo = gr.Interface(fn=generate_image, inputs=["image"], outputs=["image"])
-demo.launch(share=True)
+demo.launch(share=True)
+print ("10")