add stacktrace support for API

app.py

@@ -0,0 +1,88 @@
+# import the necessary packages
+import os
+import sys
+import requests
+import ssl
+from flask import Flask
+from flask import request
+from flask import jsonify
+from flask import send_file
+
+from uuid import uuid4
+
+from os import path
+import torch
+
+import fastai
+from fasterai.visualize import *
+from pathlib import Path
+import traceback
+
+
+torch.backends.cudnn.benchmark=True
+
+image_colorizer = get_image_colorizer(artistic=True)
+video_colorizer = get_video_colorizer()
+
+os.environ['CUDA_VISIBLE_DEVICES']='0'
+
+app = Flask(__name__)
+
+# define a predict function as an endpoint
+
+@app.route("/process_image", methods=["POST"])
+def process_image():
+    try:
+        source_url = request.json["source_url"]
+        render_factor = int(request.json["render_factor"])
+
+        upload_directory = 'upload'
+        if not os.path.exists(upload_directory):
+            os.mkdir(upload_directory)
+
+        random_filename = str(uuid4()) + '.png'
+    
+        image_colorizer.plot_transformed_image_from_url(url=source_url, path=os.path.join(upload_directory, random_filename), figsize=(20,20),
+            render_factor=render_factor, display_render_factor=True, compare=False)
+
+        callback = send_file(os.path.join("result_images", random_filename), mimetype='image/jpeg')
+        
+        return callback
+
+    except:
+        traceback.print_exc()
+        return {message: 'input error'}, 400
+
+    finally:
+        os.remove(os.path.join("result_images", random_filename))
+        os.remove(os.path.join("upload", random_filename))
+
+
+@app.route("/process_video", methods=["POST"])
+def process_video():
+    try:
+        source_url = request.json["source_url"]
+        render_factor = int(request.json["render_factor"])
+
+        upload_directory = 'upload'
+        if not os.path.exists(upload_directory):
+            os.mkdir(upload_directory)
+
+        random_filename = str(uuid4()) + '.mp4'
+
+        video_path = video_colorizer.colorize_from_url(source_url, random_filename, render_factor)
+        callback = send_file(os.path.join("video/result/", random_filename), mimetype='application/octet-stream')
+
+        return callback
+
+    except:
+        traceback.print_exc()
+        return {message: 'input error'}, 400
+
+    finally:
+        os.remove(os.path.join("video/result/", random_filename))
+
+if __name__ == '__main__':
+    port = 5000
+    host = '0.0.0.0'
+    app.run(host=host, port=port, threaded=True)