diff --git a/python/veo.py b/python/veo.py
new file mode 100644
index 0000000..4353dbe
--- /dev/null
+++ b/python/veo.py
@@ -0,0 +1,105 @@
+# -*- coding: utf-8 -*-
+# Copyright 2025 Google LLC
+#
+# 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 pathlib
+from absl.testing import absltest
+
+media = pathlib.Path(__file__).parents[1] / "third_party"
+
+
+class UnitTests(absltest.TestCase):
+
+    def video_gen_text_to_video_prompt(self):
+        # [START video_gen_text_to_video_prompt]
+        from google import genai
+        from google.genai import types
+        import time
+
+
+        client = genai.Client()
+
+        operation = client.models.generate_videos(
+            model="veo-2.0-generate-001",
+            prompt="a video of a unicorn flying through rainbows",
+            config=types.GenerateVideosConfig(
+                # At the moment the config must not be empty
+                person_generation = "allow_adult", # allow_adult or dont_allow
+                aspect_ratio = "9:16",  # 16:9 or 9:16
+                number_of_videos = 1, # 1-2
+                negative_prompt = "dragons",
+                durationSeconds = 8, # 5-8
+            ),
+        )
+      
+        # Waiting for the videos to be generated
+        while not operation.done:
+            time.sleep(20)
+            operation = client.operations.get(operation)
+            print(operation)
+      
+        print(operation.result.generated_videos)
+      
+        for n, generated_video in enumerate(operation.result.generated_videos):
+            client.files.download(file=generated_video.video)
+            generated_video.video.save(f'video{n}.mp4') # Saves the video
+        
+        # [END video_gen_text_to_video_prompt]
+
+    def video_gen_image_to_video_prompt(self):
+        # [START video_gen_image_to_video_prompt]
+        from google import genai
+        from google.genai import types
+        import PIL.Image
+        import time
+        import io
+
+        client = genai.Client()
+        organ = PIL.Image.open(media / "Cajun_instruments.jpg")
+        
+        # converting the image to bytes
+        image_bytes_io = io.BytesIO()
+        organ.save(image_bytes_io, format=organ.format)
+        image_bytes = image_bytes_io.getvalue()
+
+        operation = client.models.generate_videos(
+            model="veo-2.0-generate-001",
+            prompt="The instruments come to life and start dancing",
+            image=types.Image(image_bytes=image_bytes, mime_type=organ.format),
+            config=types.GenerateVideosConfig(
+                # At the moment the config must not be empty
+                person_generation = "dont_allow", # allow_adult or dont_allow
+                aspect_ratio = "16:9",  # 16:9 or 9:16
+                number_of_videos = 1, # 1-2
+                negative_prompt = "hands",
+                durationSeconds = 8, # 5-8
+            ),
+        )
+      
+        # Waiting for the videos to be generated
+        while not operation.done:
+            time.sleep(20)
+            operation = client.operations.get(operation)
+            print(operation)
+      
+        print(operation.result.generated_videos)
+      
+        for n, generated_video in enumerate(operation.result.generated_videos):
+            client.files.download(file=generated_video.video)
+            generated_video.video.save(f'video{n}.mp4') # Saves the video
+        
+        # [END video_gen_image_to_video_prompt]
+
+if __name__ == "__main__":
+    absltest.main()