Update app.py (#1)

- Update app.py (749920ae927167ee9ab243d4f26f2b86622be7ec)


Co-authored-by: David Berenstein <[email protected]>

app.py

@@ -1,9 +1,25 @@
-import os
+# Copyright 2024-present, David Berenstein, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import io
+import os
 import random
+import time
 
 import requests
 from PIL import Image
+
 from dataset_viber import AnnotatorInterFace
 
 HF_TOKEN = os.environ["HF_TOKEN"]
@@ -32,10 +48,17 @@ def get_rows():
 
 
 def generate_response(prompt):
-    payload = {
-        "inputs": prompt,
-    }
-    response = requests.post(MODEL_URL, headers=HEADERS, json=payload)
+    def _get_response(prompt):
+        payload = {
+            "inputs": prompt,
+        }
+        response = requests.post(MODEL_URL, headers=HEADERS, json=payload)
+        if response.status_code != 200:
+            time.sleep(10)
+            return _get_response(prompt)
+        return response
+
+    response = _get_response(prompt)
     image = Image.open(io.BytesIO(response.content))
     return image
 
@@ -46,9 +69,9 @@ def next_input(_prompt, _completion_a, _completion_b):
     generated_image = generate_response(prompt)
     return (prompt, img_url, generated_image)
 
+
 if __name__ == "__main__":
     interface = AnnotatorInterFace.for_image_generation_preference(
-        fn=next_input,
-        dataset_name=None,
+        interactive=False, fn_next_input=next_input
     )
     interface.launch()