Update app.py

app.py

@@ -0,0 +1,120 @@
+import streamlit as st
+import cv2
+import numpy as np
+import base64
+import requests
+import json
+import time
+import random
+import os
+
+# Function to handle the try-on process
+def tryon(person_img, garment_img, seed, randomize_seed):
+    if person_img is None or garment_img is None:
+        st.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)
+        if response.status_code == 200:
+            result = response.json()['result']
+            status = result['status']
+            if status == "success":
+                uuid = result['result']
+    except Exception as err:
+        st.error(f"Post Exception Error: {err}")
+        return None, None, "Too many users, please try again later"
+
+    time.sleep(9)
+    Max_Retry = 12
+    result_img = None
+    info = ""
+    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":
+                    info = "Error"
+                    break
+            else:
+                info = "URL error, please contact the admin"
+                break
+        except requests.exceptions.ReadTimeout:
+            info = "Http Timeout, please try again later"
+        except Exception as err:
+            info = f"Get Exception Error: {err}"
+        time.sleep(1)
+    
+    if info == "":
+        info = f"No image after {Max_Retry} retries"
+    if info != "Success":
+        st.warning("Too many users, please try again later")
+
+    return result_img, seed, info
+
+MAX_SEED = 999999
+
+# Set up the Streamlit app
+st.set_page_config(page_title="Virtual Try-On", page_icon=":guardsman:", layout="wide")
+
+st.title("Virtual Try-On")
+st.markdown("""
+**Step 1:** Upload a person image ⬇️  
+**Step 2:** Upload a garment image ⬇️  
+**Step 3:** Press “Run” to get try-on results
+""")
+
+col1, col2 = st.columns(2)
+
+with col1:
+    person_img = st.file_uploader("Person Image", type=["jpg", "jpeg", "png"])
+    
+with col2:
+    garment_img = st.file_uploader("Garment Image", type=["jpg", "jpeg", "png"])
+
+if person_img and garment_img:
+    person_img = np.array(bytearray(person_img.read()), dtype=np.uint8)
+    garment_img = np.array(bytearray(garment_img.read()), dtype=np.uint8)
+    person_img = cv2.imdecode(person_img, cv2.IMREAD_COLOR)
+    garment_img = cv2.imdecode(garment_img, cv2.IMREAD_COLOR)
+    
+    st.sidebar.header("Options")
+    seed = st.sidebar.slider("Seed", 0, MAX_SEED, 0)
+    randomize_seed = st.sidebar.checkbox("Random seed", value=True)
+
+    if st.sidebar.button("Run"):
+        result_img, seed_used, result_info = tryon(person_img, garment_img, seed, randomize_seed)
+        if result_info == "Success":
+            st.image(result_img, caption="Result", channels="BGR")
+            st.sidebar.text(f"Seed used: {seed_used}")
+        else:
+            st.sidebar.error(result_info)
+else:
+    st.sidebar.warning("Please upload both images to proceed.")