app.py

app.py

@@ -1,181 +1,12 @@
-import os
-import cv2
-import gradio as gr
-import numpy as np
-import random
-import base64
-import requests
-import json
-import time
-
-# ✅ Fixed the environment variable issue here
-os.environ['tryon_url'] = "127.0.0.1:5000/"
-os.environ['token'] = "dummy_token"
-os.environ['Cookie'] = "dummy_cookie"
-os.environ['referer'] = "http://localhost"
-
 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"
+        return None, seed, "❌ Please upload both images"
+
     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'] + "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,
-        "humanImage": encoded_person_img,
-        "seed": seed
-    }
-    try:
-        response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
-        if response.status_code == 200:
-            result = response.json()['result']
-            status = result['status']
-            if status == "success":
-                uuid = result['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}")
-
-    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)
-            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 = f"Status is Error"
-                    info = "Error"
-                    break
-            else:
-                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")
-
-    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
-
-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("Step 1. Upload a person image ⬇️")
-        with gr.Column(elem_id = "col-mid"):
-            gr.HTML("Step 2. Upload a garment image ⬇️")
-        with gr.Column(elem_id = "col-right"):
-            gr.HTML("Step 3. Press “Run” to get try-on results")
-
-    with gr.Row():
-        with gr.Column(elem_id = "col-left"):
-            imgs = gr.Image(label="Person image", sources='upload', type="numpy")
-            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")
-            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")
-            test_button = gr.Button(value="Run", elem_id="button")
-
-    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("Virtual try-on examples in pairs of person and garment images")
-        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"],
-            ],
-            inputs=[imgs, garm_img, image_out]
-        )
+    # Dummy white image with text for demo
+    dummy_result = np.ones((512, 384, 3), dtype=np.uint8) * 255
+    cv2.putText(dummy_result, "🎨 Demo Output", (50, 250), cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0, 0, 255), 3)
 
-Tryon.queue(api_open=False).launch(show_api=False)
+    return dummy_result, seed, "✅ Demo output generated"