Update app.py

app.py

@@ -9,148 +9,109 @@ import json
 import time
 
 
+import os
+import cv2
+import base64
+import random
+import requests
+import json
+import time
+import numpy as np
+import gradio as gr
+
+MAX_SEED = 999999
+
 def tryon(person_img, garment_img, seed, randomize_seed):
-    post_start_time = time.time()
+    start_time = time.time()
+    
+    # Check if images are provided
     if person_img is None or garment_img is None:
-        gr.Warning("Empty image")
         return None, None, "Empty image"
+    
+    # Handle seed randomization
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
+    
+    # Encode images to base64
     encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
     encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
     encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
     encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8')
 
-    url = "http://" + os.environ['tryon_url'] + "Submit"
+    # Load environment variables for API details
+    url = "http://" + os.environ['tryon_url']
     token = os.environ['token']
+    cookie = os.environ.get('Cookie', '')  # Optional cookie fallback
+    referer = os.environ.get('referer', '')  # Optional referer fallback
 
-# Safely handle cookie and referer — defaults to empty string if missing
-    cookie = os.environ.get('Cookie', '')  
-    referer = os.environ.get('referer', '')
+    # Define headers and data payload
     headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
     data = {
         "clothImage": encoded_garment_img,
         "humanImage": encoded_person_img,
         "seed": seed
     }
-    try:
-        response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
-        # print("post response code", response.status_code)
-        if response.status_code == 200:
-            result = response.json()['result']
-            status = result['status']
-            if status == "success":
-                uuid = result['result']
-                # print(uuid)
-    except Exception as err:
-        print(f"Post Exception Error: {err}")
-        raise gr.Error("Too many users, please try again later")
-    post_end_time = time.time()
-    print(f"post time used: {post_end_time-post_start_time}")
 
-    get_start_time =time.time()
-    time.sleep(9)
-    Max_Retry = 12
     result_img = None
-    info = ""
-    err_log = ""
-    for i in range(Max_Retry):
-        try:
-            url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
-            response = requests.get(url, headers=headers, timeout=20)
-            # print("get response code", response.status_code)
+    max_retries = 5  
+    retry_delay = 5  # 5 seconds between retries  
+
+    try:
+        session = requests.Session()
+        
+        # Retry loop for "Too many users" error
+        for attempt in range(max_retries):
+            response = session.post(url, headers=headers, data=json.dumps(data), timeout=60)
+            print("response code", response.status_code)
+
             if response.status_code == 200:
                 result = response.json()['result']
                 status = result['status']
+
                 if status == "success":
+                    # Decode the result image
                     result = base64.b64decode(result['result'])
                     result_np = np.frombuffer(result, np.uint8)
                     result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
                     result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
                     info = "Success"
-                    break
-                elif status == "error":
-                    err_log = f"Status is Error"
-                    info = "Error"
-                    break
-            else:
-                # print(response.text)
-                err_log = "URL error, pleace contact the admin"
-                info = "URL error, pleace contact the admin"
-                break
-        except requests.exceptions.ReadTimeout:
-            err_log = "Http Timeout"
-            info = "Http Timeout, please try again later"
-        except Exception as err:
-            err_log = f"Get Exception Error: {err}"
-        time.sleep(1)
-    get_end_time = time.time()
-    print(f"get time used: {get_end_time-get_start_time}")
-    print(f"all time used: {get_end_time-get_start_time+post_end_time-post_start_time}")
-    if info == "":
-        err_log = f"No image after {Max_Retry} retries"
-        info = "Too many users, please try again later"
-    if info != "Success":
-        print(f"Error Log: {err_log}")
-        gr.Warning("Too many users, please try again later")
+                    break  # ✅ Exit the loop when successful!
 
-    return result_img, seed, info
+                else:
+                    info = "Try again later"
+                    print("Status returned:", status)
 
-def start_tryon(person_img, garment_img, seed, randomize_seed):
-    start_time = time.time()
-    if person_img is None or garment_img is None:
-        return None, None, "Empty image"
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-    encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
-    encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
-    encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
-    encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8')
-
-    url = "http://" + os.environ['tryon_url']
-    token = os.environ['token']
-    cookie = os.environ['Cookie']
-    referer = os.environ['referer']
-
-    headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
-    data = {
-        "clothImage": encoded_garment_img,
-        "humanImage": encoded_person_img,
-        "seed": seed
-    }
-
-    result_img = None
-    try:
-        session = requests.Session()
-        response = session.post(url, headers=headers, data=json.dumps(data), timeout=60)
-        print("response code", response.status_code)
-        if response.status_code == 200:
-            result = response.json()['result']
-            status = result['status']
-            if status == "success":
-                result = base64.b64decode(result['result'])
-                result_np = np.frombuffer(result, np.uint8)
-                result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
-                result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
-                info = "Success"
             else:
-                info = "Try again latter"
+                print(response.text)
+                if "Too many users" in response.text:
+                    print(f"Attempt {attempt + 1}/{max_retries}: API busy. Retrying in {retry_delay} seconds...")
+                    time.sleep(retry_delay)
+                else:
+                    info = "URL error, please contact the admin"
+                    break  # ❌ If it's a different error, stop retrying  
+
         else:
-            print(response.text)
-            info = "URL error, pleace contact the admin"
+            # If all retries fail, return this message
+            info = "API still overloaded — please try again later."
+
+    # Handle timeouts specifically
     except requests.exceptions.ReadTimeout:
         print("timeout")
         info = "Too many users, please try again later"
         raise gr.Error("Too many users, please try again later")
+
+    # Handle any other unexpected errors
     except Exception as err:
-        print(f"其他错误: {err}")
-        info = "Error, pleace contact the admin"
+        print(f"Other error: {err}")
+        info = "Error, please contact the admin"
+
     end_time = time.time()
     print(f"time used: {end_time-start_time}")
 
     return result_img, seed, info
 
-MAX_SEED = 999999
+
+
 
 example_path = os.path.join(os.path.dirname(__file__), 'assets')