Update app.py

app.py

@@ -7,16 +7,12 @@ import base64
 import requests
 import json
 import time
-from dotenv import load_dotenv
 
-# بارگذاری متغیرهای محیطی از فایل .env
-load_dotenv()
-
-MAX_SEED = 999999
 
 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)
@@ -25,10 +21,10 @@ def tryon(person_img, garment_img, seed, randomize_seed):
     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 = os.getenv('tryon_url') + "Submit"
-    token = os.getenv('token')
-    cookie = os.getenv('Cookie')
-    referer = os.getenv('referer')
+    url = "http://" + os.environ['tryon_url'] + "Submit"
+    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,
@@ -37,16 +33,20 @@ def tryon(person_img, garment_img, seed, randomize_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:
-        return None, None, f"Post Exception Error: {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()
+    get_start_time =time.time()
     time.sleep(9)
     Max_Retry = 12
     result_img = None
@@ -54,8 +54,9 @@ def tryon(person_img, garment_img, seed, randomize_seed):
     err_log = ""
     for i in range(Max_Retry):
         try:
-            url = os.getenv('tryon_url') + "Query?taskId=" + uuid
+            url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
             response = requests.get(url, headers=headers, timeout=20)
+            # print("get response code", response.status_code)
             if response.status_code == 200:
                 result = response.json()['result']
                 status = result['status']
@@ -71,8 +72,9 @@ def tryon(person_img, garment_img, seed, randomize_seed):
                     info = "Error"
                     break
             else:
-                err_log = "URL error, please contact the admin"
-                info = "URL error, please contact the admin"
+                # 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"
@@ -81,49 +83,241 @@ def tryon(person_img, garment_img, seed, randomize_seed):
             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":
-        return None, None, f"Error Log: {err_log}"
+        print(f"Error Log: {err_log}")
+        gr.Warning("Too many users, please try again later")
+
+    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')
+
+    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"
+        else:
+            print(response.text)
+            info = "URL error, pleace contact the admin"
+    except requests.exceptions.ReadTimeout:
+        print("timeout")
+        info = "Too many users, please try again later"
+        raise gr.Error("Too many users, please try again later")
+    except Exception as err:
+        print(f"其他错误: {err}")
+        info = "Error, pleace contact the admin"
+    end_time = time.time()
+    print(f"time used: {end_time-start_time}")
 
     return result_img, seed, info
 
-def run_tryon(person_img, garment_img, seed=0, randomize_seed=True):
-    result_img, seed_used, info = tryon(person_img, garment_img, seed, randomize_seed)
-    if result_img is not None:
-        return result_img, f"Seed used: {seed_used}", f"Response: {info}"
-    else:
-        return None, f"Seed used: {seed_used}", f"Response: {info}"
+MAX_SEED = 999999
 
 example_path = os.path.join(os.path.dirname(__file__), 'assets')
+
+# بررسی و ایجاد دایرکتوری‌های مورد نیاز
 cloth_dir = os.path.join(example_path, "cloth")
 human_dir = os.path.join(example_path, "human")
 
+# ایجاد دایرکتوری‌ها اگر وجود ندارند
+if not os.path.exists(example_path):
+    os.makedirs(example_path)
 if not os.path.exists(cloth_dir):
     os.makedirs(cloth_dir)
+    print(f"Created directory: {cloth_dir}")
 if not os.path.exists(human_dir):
     os.makedirs(human_dir)
+    print(f"Created directory: {human_dir}")
 
+# بررسی محتوای دایرکتوری‌ها - اگر خالی هستند، با لیست‌های خالی مقداردهی می‌شوند
 garm_list = os.listdir(cloth_dir) if os.path.exists(cloth_dir) else []
+garm_list_path = [os.path.join(cloth_dir, garm) for garm in garm_list]
+
 human_list = os.listdir(human_dir) if os.path.exists(human_dir) else []
+human_list_path = [os.path.join(human_dir, 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):
+    # بررسی وجود فایل توضیحات
+    if not os.path.exists(fp):
+        print(f"Warning: Description file {fp} not found")
+        return "Welcome to Virtual Try-On"
+        
+    with open(fp, 'r', encoding='utf-8') as f:
+        content = f.read()
+    return content
+
+def change_imgs(image1, image2):
+    return image1, image2
+
+# بررسی وجود دایرکتوری examples
+examples_dir = os.path.join(example_path, "examples")
+if not os.path.exists(examples_dir):
+    os.makedirs(examples_dir)
+    print(f"Created directory: {examples_dir}")
+
+with gr.Blocks(css=css) as Tryon:
+    # بررسی وجود فایل عنوان
+    title_path = os.path.join(example_path, "title.md")
+    if not os.path.exists(title_path):
+        with open(title_path, 'w', encoding='utf-8') as f:
+            f.write("# Virtual Try-On Application\n\nUpload a person image and a garment image to see the virtual try-on result.")
+        print(f"Created title file: {title_path}")
+        
+    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>
+            """)
+        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>
+            """)
+        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>
+            """)
+    with gr.Row():
+        with gr.Column(elem_id = "col-left"):
+            imgs = gr.Image(label="Person image", sources='upload', type="numpy")
+            # category = gr.Dropdown(label="Garment category", choices=['upper_body', 'lower_body', 'dresses'],  value="upper_body")
+            example = 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
+            )
+        with gr.Column(elem_id = "col-right"):
+            image_out = gr.Image(label="Result", show_share_button=False)
+            with gr.Row():
+                seed = gr.Slider(
+                    label="Seed",
+                    minimum=0,
+                    maximum=MAX_SEED,
+                    step=1,
+                    value=0,
+                )
+                randomize_seed = gr.Checkbox(label="Random seed", value=True)
+            with gr.Row():
+                seed_used = gr.Number(label="Seed used")
+                result_info = gr.Text(label="Response")
+            # try_button = gr.Button(value="Run", elem_id="button")
+            test_button = gr.Button(value="Run", elem_id="button")
+
+
+    # try_button.click(fn=start_tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10)
+    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)
+
+    # بررسی وجود فایل‌های نمونه
+    example_files = [
+        ["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"],
+    ]
+    
+    existing_examples = []
+    for example_set in example_files:
+        if all(os.path.exists(path) for path in example_set):
+            existing_examples.append(example_set)
+    
+    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>
+        """)
+        if existing_examples:
+            show_case = gr.Examples(
+                examples=existing_examples,
+                inputs=[imgs, garm_img, image_out],
+                label=None
+            )
+        else:
+            gr.HTML("""
+            <div style="text-align: center;">
+                <p>No example images found. Please add example images to the 'assets/examples' directory.</p>
+            </div>
+            """)
 
-demo = gr.Interface(
-    fn=run_tryon,
-    inputs=[
-        gr.inputs.Image(type="numpy", label="Upload a person image"),
-        gr.inputs.Image(type="numpy", label="Upload a garment image"),
-        gr.inputs.Slider(0, MAX_SEED, step=1, default=0, label="Seed"),
-        gr.inputs.Checkbox(default=True, label="Random seed")
-    ],
-    outputs=[
-        gr.outputs.Image(type="numpy", label="Result Image"),
-        gr.outputs.Textbox(label="Seed used"),
-        gr.outputs.Textbox(label="Response")
-    ],
-    title="Virtual Try-On Application",
-    description="Upload a person image and a garment image to try on the garment virtually."
-)
-
-if __name__ == "__main__":
-    demo.launch()
+Tryon.queue(api_open=False).launch(show_api=False)