Update app.py

app.py

@@ -1,255 +1,153 @@
-import os	
-import cv2	
-import gradio as gr	
-import numpy as np	
-import random	
-import base64	
-import requests	
-import json	
-import time	
-	
-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')	
-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"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)	
-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:	
-# 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")	
-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	
-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	
-def change_imgs(image1, image2):	
-return image1, image2	
-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>	
-""")	
-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)	
-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(	
-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],	
-label=None	
-)	
-Tryon.queue(api_open=False).launch(show_api=False)	
+import os
+import cv2
+import gradio as gr
+import numpy as np
+import random
+import base64
+import requests
+import json
+import time
+
+# সর্বোচ্চ সীড ভ্যালু
+MAX_SEED = 999999
+
+def tryon(person_img, garment_img, seed, randomize_seed):
+    # POST রিকোয়েস্ট শুরু
+    post_start_time = time.time()
+    
+    # যদি ইমেজ না দেওয়া হয়
+    if person_img is None or garment_img is None:
+        gr.Warning("Empty image")
+        return None, None, "Empty image"
+    
+    # র‍্যান্ডম সীড জেনারেট করুন
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    
+    # ব্যক্তির ইমেজ এনকোড করুন
+    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')
+    
+    # পোশাকের ইমেজ এনকোড করুন
+    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')
+    
+    # API URL এবং হেডার সেট করুন
+    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}
+    
+    # ডেটা প্রস্তুত করুন
+    data = {
+        "clothImage": encoded_garment_img,
+        "humanImage": encoded_person_img,
+        "seed": seed
+    }
+    
+    # POST রিকোয়েস্ট পাঠান
+    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 রিকোয়েস্ট শেষ
+    post_end_time = time.time()
+    print(f"POST time used: {post_end_time - post_start_time}")
+    
+    # GET রিকোয়েস্ট শুরু
+    get_start_time = time.time()
+    time.sleep(9)  # কিছু সময় অপেক্ষা করুন
+    Max_Retry = 12  # সর্বোচ্চ রিট্রাই সংখ্যা
+    result_img = None
+    info = ""
+    err_log = ""
+    
+    # রেজাল্ট পেতে রিট্রাই করুন
+    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, 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)
+    
+    # GET রিকোয়েস্ট শেষ
+    get_end_time = time.time()
+    print(f"GET time used: {get_end_time - get_start_time}")
+    print(f"Total time used: {get_end_time - get_start_time + post_end_time - post_start_time}")
+    
+    # যদি কোনো রেজাল্ট না পাওয়া যায়
+    if info == "":
+        err_log = f"No image after {Max_Retry} retries"
+        info = "Too many users, please try again later"
+    
+    # যদি সফল না হয়
+    if info != "Success":
+        print(f"Error Log: {err_log}")
+        gr.Warning("Too many users, please try again later")
+    
+    # রেজাল্ট ইমেজ, সীড, এবং ইনফো রিটার্ন করুন
+    return result_img, seed, info
+
+# Gradio ইন্টারফেস তৈরি করুন
+with gr.Blocks() as Tryon:
+    gr.Markdown("## Virtual Try-On App")
+    
+    with gr.Row():
+        with gr.Column():
+            person_img = gr.Image(label="Person Image", sources='upload', type="numpy")
+        with gr.Column():
+            garment_img = gr.Image(label="Garment Image", sources='upload', type="numpy")
+        with gr.Column():
+            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")
+    
+    run_button = gr.Button(value="Run", variant="primary")
+    
+    # বাটন ক্লিক ইভেন্ট
+    run_button.click(
+        fn=tryon,
+        inputs=[person_img, garment_img, seed, randomize_seed],
+        outputs=[image_out, seed_used, result_info],
+        api_name=False,
+        concurrency_limit=10
+    )
+
+# অ্যাপ্লিকেশন লঞ্চ করুন
+Tryon.queue().launch(share=True)