Update app.py

app.py

@@ -8,229 +8,131 @@ import requests
 import json
 import time
 
+MAX_SEED = 999999
+example_path = os.path.join(os.path.dirname(__file__), 'assets')
+garm_list = os.listdir(os.path.join(example_path, "cloth"))
+garm_list_path = [os.path.join(example_path, "cloth", garm) for garm in garm_list]
+human_list = os.listdir(os.path.join(example_path, "human"))
+human_list_path = [os.path.join(example_path, "human", human) for human in human_list]
+
 def tryon(person_img, garment_img, seed, randomize_seed):
     post_start_time = time.time()
-    
     if person_img is None or garment_img is None:
         gr.Warning("Empty image")
         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')
 
-    # Local server URL with the endpoint
-    url = "http://localhost:7860/Submit"  # Using localhost and port 7860
-    token = os.environ['token']
-    cookie = os.environ['Cookie']
-    referer = os.environ['referer']
-    
-    headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
+    url = "https://huggingface.co/spaces/zaghamrasool/Z-Virtual-Try-On"
     data = {
         "clothImage": encoded_garment_img,
         "humanImage": encoded_person_img,
         "seed": seed
     }
-    
+
+    uuid = None
     try:
-        response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
+        response = requests.post(url, data=json.dumps(data), timeout=50)
         if response.status_code == 200:
-            result = response.json()['result']
-            status = result['status']
-            if status == "success":
-                uuid = result['result']
-            else:
-                gr.Warning("Error in processing")
+            result = response.json().get('result', {})
+            if result.get('status') == "success":
+                uuid = result.get('result')
     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}")
+    print(f"post time used: {post_end_time - post_start_time}")
 
-    # Handling the GET request after the POST to fetch the result
+    # Retry loop
     get_start_time = time.time()
-    time.sleep(9)
-    Max_Retry = 12
+    time.sleep(5)
+    Max_Retry = 20
     result_img = None
     info = ""
     err_log = ""
-    
-    for i in range(Max_Retry):
-        try:
-            # Local URL for Query endpoint
-            url = f"http://localhost:7860/Query?taskId={uuid}"  # Using the correct URL
-            response = requests.get(url, headers=headers, timeout=20)
-            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"
-                    break
-                elif status == "error":
-                    err_log = "Status is Error"
-                    info = "Error"
+
+    if not uuid:
+        err_log = "No task ID received from backend."
+        info = "Failed to get task ID from backend"
+    else:
+        for i in range(Max_Retry):
+            try:
+                url = f"https://huggingface.co/spaces/zaghamrasool/Z-Virtual-Try-On/SubmitQuery?taskId={uuid}"
+                response = requests.get(url, timeout=20)
+                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"
+                        break
+                    elif status == "error":
+                        err_log = "Status is Error"
+                        info = "Error"
+                        break
+                else:
+                    err_log = "URL error, please contact the admin"
+                    info = "URL error, please contact the admin"
                     break
-            else:
-                err_log = "URL error, please contact the admin"
-                info = "URL error, please 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)
-    
+            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(5)
+
     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}")
-    
+    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")
+        gr.Warning(info)
 
     return result_img, seed, info
 
-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')
-
-    # Local server URL without the endpoint for the initial POST request
-    url = "http://localhost:7860"  # Base 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)
-        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 later"
-        else:
-            info = "URL error, please contact the admin"
-    except requests.exceptions.ReadTimeout:
-        info = "Too many users, please try again later"
-        raise gr.Error("Too many users, please try again later")
-    except Exception as 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')
-
-garm_list = os.listdir(os.path.join(example_path,"cloth"))
-garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list]
-
-human_list = os.listdir(os.path.join(example_path,"human"))
-human_list_path = [os.path.join(example_path,"human",human) for human in human_list]
-
-css = """
-#col-left {
-    margin: 0 auto;
-    max-width: 430px;
-}
-#col-mid {
-    margin: 0 auto;
-    max-width: 430px;
-}
-#col-right {
-    margin: 0 auto;
-    max-width: 430px;
-}
-#col-showcase {
-    margin: 0 auto;
-    max-width: 1100px;
-}
-#button {
-    color: blue;
-}
-"""
-
 def load_description(fp):
     with open(fp, 'r', encoding='utf-8') as f:
-        content = f.read()
-    return content
+        return f.read()
 
-def change_imgs(image1, image2):
-    return image1, image2
+css = """
+#col-left { margin: 0 auto; max-width: 430px; }
+#col-mid { margin: 0 auto; max-width: 430px; }
+#col-right { margin: 0 auto; max-width: 430px; }
+#col-showcase { margin: 0 auto; max-width: 1100px; }
+#button { color: blue; }
+"""
 
 with gr.Blocks(css=css) as Tryon:
     gr.HTML(load_description("assets/title.md"))
+
     with gr.Row():
         with gr.Column(elem_id="col-left"):
-            gr.HTML("""
-            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
-                <div>Step 1. Upload a person image ⬇️</div>
-            </div>
-            """)
+            gr.HTML("<div style='text-align: center; font-size: 20px;'>Step 1.  Upload a person image ⬇️</div>")
         with gr.Column(elem_id="col-mid"):
-            gr.HTML("""
-            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
-                <div>Step 2. Upload a garment image ⬇️</div>
-            </div>
-            """)
+            gr.HTML("<div style='text-align: center; font-size: 20px;'>Step 2. Upload a garment image ⬇️</div>")
         with gr.Column(elem_id="col-right"):
-            gr.HTML("""
-            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
-                <div>Step 3. Press “Run” to get try-on results</div>
-            </div>
-            """)
+            gr.HTML("<div style='text-align: center; font-size: 20px;'>Step 3. Press “Run” to get try-on results</div>")
+
     with gr.Row():
         with gr.Column(elem_id="col-left"):
             imgs = gr.Image(label="Person image", sources='upload', type="numpy")
-            example = gr.Examples(inputs=imgs, examples_per_page=12, examples=human_list_path)
+            gr.Examples(inputs=imgs, examples_per_page=12, examples=human_list_path)
         with gr.Column(elem_id="col-mid"):
             garm_img = gr.Image(label="Garment image", sources='upload', type="numpy")
-            example = gr.Examples(inputs=garm_img, examples_per_page=12, examples=garm_list_path)
+            gr.Examples(inputs=garm_img, examples_per_page=12, examples=garm_list_path)
         with gr.Column(elem_id="col-right"):
             image_out = gr.Image(label="Result", show_share_button=False)
             with gr.Row():
@@ -244,20 +146,17 @@ with gr.Blocks(css=css) as Tryon:
     test_button.click(fn=tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name=False, concurrency_limit=45)
 
     with gr.Column(elem_id="col-showcase"):
-        gr.HTML("""
-        <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
-            <div> </div><br>
-            <div>Virtual try-on examples in pairs of person and garment images</div>
-        </div>
-        """)
-        show_case = gr.Examples(
+        gr.HTML("<div style='text-align: center; font-size: 20px;'>Virtual try-on examples in pairs of person and garment images</div>")
+        gr.Examples(
             examples=[
                 ["assets/examples/model2.png", "assets/examples/garment2.png", "assets/examples/result2.png"],
                 ["assets/examples/model3.png", "assets/examples/garment3.png", "assets/examples/result3.png"],
-                ["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"],
+                ["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"]
             ],
-            inputs=[imgs, garm_img, image_out],
-            label=None
+            inputs=[imgs, garm_img, image_out]
         )
 
 Tryon.queue(api_open=False).launch(show_api=False)
+Tryon.launch()
+print("Gradio app is running...")
+print("Please open the link in your browser to access the app.")