Spaces:
Runtime error
Runtime error
File size: 1,340 Bytes
ec3efd7 |
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 |
import os
from flask import Flask, request
import requests
from gradio_client import Client
import base64
base_gradio_url = os.getenv('URL_GRADIO', 'http://localhost:7860')
client = None
app = Flask(__name__, static_url_path='/static')
@app.route('/')
def index():
return app.send_static_file('index.html')
def save_base64_image(base64Image):
image_data = base64.b64decode(base64Image)
path = "input_image.jpg"
with open(path, 'wb') as f:
f.write(image_data)
return path
def encode_image_to_base64(filepath):
with open(filepath, "rb") as image_file:
encoded_image = base64.b64encode(image_file.read()).decode("utf-8")
return encoded_image
@app.route('/predict', methods=['POST'])
def predict():
global client
if not client:
client = Client(base_gradio_url)
data = request.get_json()
base64Image = data['data'][0]
prompt = data['data'][1]
steps = data['data'][2]
seed = data['data'][3]
b64meta, b64_data = base64Image.split(',')
image_path = save_base64_image(b64_data)
result = client.predict(
image_path, prompt, steps, seed, fn_index=0
)
return b64meta + ',' + encode_image_to_base64(result)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=int(
os.environ.get('PORT', 8000)), debug=True)
|