Update app.py

app.py

@@ -11,162 +11,45 @@ import json
 import time
 
 
-
-# Add a new function for text-to-image generation
-def generate_garment_image(prompt):
-    # This is a placeholder function. You'll need to implement actual text-to-image generation here.
-    # For example, you might use a service like DALL-E, Stable Diffusion, or any other text-to-image model.
-    # For now, we'll just return a placeholder image.
-    placeholder_image = np.zeros((256, 256, 3), dtype=np.uint8)
-    cv2.putText(placeholder_image, prompt, (10, 128), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
-    return placeholder_image
-
 def tryon(person_img, garment_prompt, seed, randomize_seed):
     post_start_time = time.time()
-    if person_img is None or garment_prompt == "":
+    if person_img is None or garment_prompt.strip() == "":
         return None, None, "Empty image or prompt"
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
-
-
-    # Generate garment image from prompt
-    garment_img = generate_garment_image(garment_prompt)
-    
+        
     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)
-        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"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 = 10
-    result_img = None
-    for i in range(Max_Retry):
-        try:
-            url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
-            response = requests.get(url, headers=headers, timeout=15)
-            print("get 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"
-                    break
-                elif status == "error":
-                    raise gr.Error("Too many users, please try again later")
-            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"
-        except Exception as err:
-            print(f"Error: {err}")
-        time.sleep(1)
-    get_end_time = time.time()
-    print(f"get time used: {get_end_time-get_start_time}")
-
-    return result_img, seed, info
-
-
-def start_tryon(person_img, garment_prompt, seed, randomize_seed):
-    start_time = time.time()
-    if person_img is None or garment_prompt == "":
-        return None, None, "Empty image or prompt"
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
     
-    # Generate garment image from prompt
-    garment_img = generate_garment_image(garment_prompt)
+    # Simulate generation of garment image from text prompt
+    generated_garment_img = np.zeros((person_img.shape[0], person_img.shape[1], 3), dtype=np.uint8)  # Dummy garment image (black)
     
-    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()
+    # Encode the generated garment image
+    encoded_garment_img = cv2.imencode('.jpg', generated_garment_img)[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']
+    # Simulate request processing (no external API calls)
+    time.sleep(1)
+    
+    # Decoding process (dummy)
+    result_img = cv2.imdecode(np.frombuffer(base64.b64decode(encoded_garment_img), np.uint8), cv2.IMREAD_UNCHANGED)
+    result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
 
-    headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
-    data = {
-        "clothImage": encoded_garment_img,
-        "humanImage": encoded_person_img,
-        "seed": seed
-    }
+    post_end_time = time.time()
+    print(f"post time used: {post_end_time - post_start_time}")
 
-    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 the simulated result image, used seed, and success message
+    return result_img, seed, "Success"
 
-    return result_img, seed, info
 
 MAX_SEED = 999999
 
-
-
-
 example_path = os.path.join(os.path.dirname(__file__), 'assets')
 
-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]
+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="""
+css = """
 #col-left {
     margin: 0 auto;
     max-width: 430px;
@@ -193,10 +76,11 @@ def load_description(fp):
         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"):
+        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>
@@ -204,37 +88,33 @@ with gr.Blocks(css=css) as Tryon:
                 </div>
             </div>
             """)
-        with gr.Column(elem_id = "col-mid"):
+        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. Enter a garment description ⬇️
+                Step 2. Enter a text prompt for the garment ⬇️
                 </div>
             </div>
             """)
-        with gr.Column(elem_id = "col-right"):
+        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
+                Step 3. Press “Run” to get try-on results
                 </div>
             </div>
             """)
     with gr.Row():
-        with gr.Column(elem_id = "col-left"):
+        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
             )
-        with gr.Column(elem_id = "col-mid"):
-            garm_prompt = gr.Textbox(label="Garment description", placeholder="Enter a description of the garment...")
-            example_prompts = gr.Examples(
-                inputs=garm_prompt,
-                examples=["A red t-shirt", "Blue jeans", "A floral summer dress", "A black leather jacket"]
-            )
-        with gr.Column(elem_id = "col-right"):
+        with gr.Column(elem_id="col-mid"):
+            garment_prompt = gr.Textbox(label="Garment text prompt", placeholder="Describe the garment...")
+        with gr.Column(elem_id="col-right"):
             image_out = gr.Image(label="Result", show_share_button=False)
             with gr.Row():
                 seed = gr.Slider(
@@ -250,26 +130,26 @@ with gr.Blocks(css=css) as Tryon:
                 result_info = gr.Text(label="Response")
             test_button = gr.Button(value="Run", elem_id="button")
 
-    test_button.click(fn=tryon, inputs=[imgs, garm_prompt, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon', concurrency_limit=40)
+    test_button.click(fn=tryon, inputs=[imgs, garment_prompt, seed, randomize_seed], outputs=[image_out, seed_used, result_info], concurrency_limit=40)
 
-    with gr.Column(elem_id = "col-showcase"):
+    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 images and garment descriptions
+            Virtual try-on examples in pairs of person and garment images
             </div>
         </div>
         """)
         show_case = gr.Examples(
             examples=[
-                ["assets/examples/model2.png", "A blue t-shirt", "assets/examples/result2.png"],
-                ["assets/examples/model3.png", "A red dress", "assets/examples/result3.png"],
-                ["assets/examples/model1.png", "A black suit", "assets/examples/result1.png"],
+                ["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_prompt, image_out],
+            inputs=[imgs, garment_prompt, image_out],
             label=None
         )
 
-Tryon.launch()
+Tryon.launch()