Spaces:
Runtime error
Runtime error
File size: 9,818 Bytes
875ad8c 5bc7631 875ad8c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 | import streamlit as st
import requests
import base64
import io
import os
import time
from PIL import Image as PILImage
from dotenv import load_dotenv
load_dotenv()
import base64
from io import BytesIO
from PIL import Image as PILImage
def image_to_base64(image_file) -> str :
image_bytes = image_file.getvalue()
img = PILImage.open(BytesIO(image_bytes))
img_format : str = img.format.lower() if img.format else 'jpeg'
base64_str = base64.b64encode(image_bytes).decode('utf-8')
return f'data:image/{img_format};base64,{base64_str}'
def base64_to_image(base64_str : str) :
if ',' in base64_str :
base64_str = base64_str.split(',')[1]
image_bytes = base64.b64decode(base64_str)
return PILImage.open(BytesIO(image_bytes))
api_key : str = os.environ['FASHN_API_KEY']
col1 , col2 = st.columns(2)
with col1 :
st.subheader("Model Image")
model_file = st.file_uploader(
'Upload model/person image' ,
type = ['png' , 'jpg' , 'jpeg'] ,
key = 'model_uploader'
)
if model_file is not None :
model_image = PILImage.open(model_file)
st.image(model_image , caption = 'Uploaded Model Image' , use_container_width = True)
with col2 :
st.subheader('Garment Image')
garment_file = st.file_uploader(
'Upload garment/clothing image' ,
type = ['png' , 'jpg' , 'jpeg'] ,
key = 'garment_uploader'
)
if garment_file is not None :
garment_image = PILImage.open(garment_file)
st.image(garment_image , caption = 'Uploaded Garment Image' , use_container_width = True)
st.markdown('---')
if st.button('🎨 Generate Virtual Try-On', type = 'primary' , use_container_width = True) :
if not api_key :
st.error("⚠️ Please enter your Fashn.ai API key in the sidebar!")
elif model_file is None or garment_file is None :
st.error("⚠️ Please upload both model and garment images!")
else :
try :
model_base64 : str = image_to_base64(model_file)
garment_base64 : str = image_to_base64(garment_file)
with st.spinner('Making this person wear something else') :
url = 'https://api.fashn.ai/v1/run'
headers = {
'Authorization' : f'Bearer {api_key}' ,
'Content-Type' : 'application/json'
}
payload = {
'model_name' : 'tryon-v1.6' ,
'inputs' : {
'model_image' : model_base64 ,
'garment_image' : garment_base64 ,
'category' : 'auto' ,
'segmentation_free' : True ,
'moderation_level' : 'conservative' ,
'garment_photo_type' : 'auto' ,
'mode' : 'balanced' ,
'seed' : 42 ,
'num_samples' : 1 ,
'output_format' : 'png' ,
'return_base64' : True
}
}
response = requests.post(url , headers = headers , json = payload)
if response.status_code == 200 :
result = response.json()
if 'id' in result :
job_id = result['id']
max_attempts = 60
attempt = 0
progress_bar = st.progress(0)
status_text = st.empty()
while attempt < max_attempts:
attempt += 1
progress_bar.progress(min(attempt / max_attempts, 0.99))
status_text.text(f"Polling for results... Attempt {attempt}/{max_attempts}")
# Get job status
status_response = requests.get(
f"https://api.fashn.ai/v1/status/{job_id}",
headers={"Authorization": f"Bearer {api_key}"}
)
if status_response.status_code == 200:
status_result = status_response.json()
status = status_result.get("status")
if status == "completed":
progress_bar.progress(1.0)
status_text.empty()
progress_bar.empty()
# Display the result
st.success("✅ Virtual try-on generated successfully!")
st.subheader("Result")
# Get the generated image from base64
if "output" in status_result and len(status_result["output"]) > 0:
base64_image = status_result["output"][0]
generated_image = base64_to_image(base64_image)
# Display the generated image
st.image(generated_image, caption="Virtual Try-On Result", use_container_width=True)
# Convert to bytes for download
img_byte_arr = io.BytesIO()
generated_image.save(img_byte_arr, format='PNG')
img_byte_arr = img_byte_arr.getvalue()
# Download button
st.download_button(
label="📥 Download Result",
data=img_byte_arr,
file_name="virtual_tryon_result.png",
mime="image/png"
)
else:
st.error("No output image found in the response")
with st.expander("View API Response"):
st.json(status_result)
break
elif status == "failed":
progress_bar.empty()
status_text.empty()
st.error(f"❌ Job failed: {status_result.get('error', 'Unknown error')}")
with st.expander("View API Response"):
st.json(status_result)
break
elif status in ["processing", "queued"]:
# Still processing, continue polling
time.sleep(2)
continue
else:
# Unknown status
st.warning(f"Unknown status: {status}")
with st.expander("View API Response"):
st.json(status_result)
time.sleep(2)
else:
progress_bar.empty()
status_text.empty()
st.error(f"Failed to get status: {status_response.status_code}")
st.error(status_response.text)
break
if attempt >= max_attempts:
progress_bar.empty()
status_text.empty()
st.error("⏱️ Timeout: Job took too long to complete. Please try again.")
elif "output" in result:
# Direct response with output (synchronous)
st.success("✅ Virtual try-on generated successfully!")
st.subheader("Result")
base64_image = result["output"][0]
generated_image = base64_to_image(base64_image)
st.image(generated_image, caption="Virtual Try-On Result", use_container_width=True)
img_byte_arr = io.BytesIO()
generated_image.save(img_byte_arr, format='PNG')
img_byte_arr = img_byte_arr.getvalue()
st.download_button(
label="📥 Download Result",
data=img_byte_arr,
file_name="virtual_tryon_result.png",
mime="image/png"
)
else:
st.error("Unexpected response format")
with st.expander("View API Response"):
st.json(result)
else:
st.error(f"❌ API Error: {response.status_code}")
st.error(f"Message: {response.text}")
except Exception as e:
st.error(f"❌ An error occurred: {str(e)}")
import traceback
with st.expander("View Error Details"):
st.code(traceback.format_exc())
|