Adds basic dataflow to generate an image from a prompt

This is a simple wrapper over openAI, but forms components that are nice
and reusable.

contrib/hamilton/contrib/user/elijahbenizzy/generate_images/README.md

@@ -0,0 +1,14 @@
+# Purpose of this module
+This module provides a simple dataflow to generate an image using openAI DallE generation capabilities.
+
+# Configuration Options
+This module can be configured with the following options:
+[list options]
+
+- `base_prompt` -- prompt to generate from a string
+- `style` -- string for the style of the image to generate, defaults to "realist"
+- `size` -- string for the size of the image to generate, defaults to "1024x1024"
+- `hd` -- Whether to use high definition, defaults to False
+
+# Limitations
+Write limitations/assumptions/known issues here.

contrib/hamilton/contrib/user/elijahbenizzy/generate_images/__init__.py

@@ -0,0 +1,65 @@
+import logging
+
+logger = logging.getLogger(__name__)
+
+from hamilton import contrib
+
+with contrib.catch_import_errors(__name__, __file__, logger):
+    # non-hamilton imports go here
+    import openai
+
+    pass
+
+
+def prompt(base_prompt: str, style: str = None, additional_prompt: str = None) -> str:
+    """Returns the prompt used to generate an image"""
+    prompt_out = base_prompt
+    if style is not None:
+        prompt_out += f" The image should be in the {style} style."
+    if additional_prompt is not None:
+        prompt_out += f" {additional_prompt}"
+    return prompt_out
+
+
+def generated_image(prompt: str, size: str = "1024x1024", hd: bool = False) -> str:
+    """Returns the generated image"""
+    client = openai.OpenAI()
+
+    response = client.images.generate(
+        model="dall-e-3",
+        prompt=prompt,
+        size=size,
+        quality="standard" if not hd else "hd",
+        n=1,
+    )
+    image_url = response.data[0].url
+    return image_url
+
+
+if __name__ == "__main__":
+    import __init__ as generate_images
+
+    from hamilton import base, driver
+
+    dr = driver.Driver(
+        {},
+        generate_images,
+        adapter=base.DefaultAdapter(),
+    )
+    # saves to current working directory creating dag.png.
+    dr.display_all_functions("dag", {"format": "png", "view": False})
+    # out = dr.execute(
+    #     ["generated_image"],
+    #     inputs={
+    #         "base_prompt": "Aerial view of a sprawling two-story residential home nestled in a verdant landscape, with clusters of mature oak trees dotting the terrain. The large house presents a "
+    #         "mix of architectural details with a primarily beige color scheme and white trim accents. The upper level features a row of regular double-hung windows flanked by darker "
+    #         "shutters and a prominent deck area with a wood railing, providing an intimate outdoor space. A sizable terrace extends from the lower level boasting an expansive "
+    #         "outdoor entertaining area with a variety of patio furniture arranged for dining and relaxation, overlooking the sloping lawn.\n\nTo the left, a smaller, "
+    #         "single-story structure with a red gable roof and similar beige siding hints at additional living quarters or perhaps a guest house, complete with its own petite wooden "
+    #         "porch adorned with a bench. The natural and manicured elements of the landscape harmonize to create a secluded retreat atmosphere; terraced garden beds and low "
+    #         "vegetation patches add texture to the otherwise unruly native greenery.\n\nIn the background, perched on an adjacent hill, another house peeks through the tree canopy, "
+    #         "only partially visible, indicating a neighborhood that balances privacy with a sense of community. The tranquil blue sky above the panoramic scene suggests a serene and "
+    #         "pleasant day. The property as a whole exudes a feeling of comfortable country living combined with luxurious outdoor leisure spaces."
+    #     },
+    # )
+    # print(out)

contrib/hamilton/contrib/user/elijahbenizzy/generate_images/dag

@@ -0,0 +1,16 @@
+// Dependency Graph
+digraph {
+	graph [compound=true concentrate=true rankdir=LR ranksep=0.4]
+	image_generated [label=<<b>image_generated</b><br /><br /><i>str</i>> fillcolor="#b4d8e4" fontname=Helvetica margin=0.15 shape=rectangle style="rounded,filled"]
+	prompt [label=<<b>prompt</b><br /><br /><i>str</i>> fillcolor="#b4d8e4" fontname=Helvetica margin=0.15 shape=rectangle style="rounded,filled"]
+	prompt -> image_generated
+	_image_generated_inputs [label=<<table border="0"><tr><td>size</td><td>str</td></tr><tr><td>hd</td><td>bool</td></tr></table>> fontname=Helvetica margin=0.15 shape=rectangle style=dashed]
+	_image_generated_inputs -> image_generated
+	_prompt_inputs [label=<<table border="0"><tr><td>base_prompt</td><td>str</td></tr><tr><td>style</td><td>str</td></tr></table>> fontname=Helvetica margin=0.15 shape=rectangle style=dashed]
+	_prompt_inputs -> prompt
+	subgraph cluster__legend {
+		graph [fontname=helvetica label=Legend rank=same]
+		input [fontname=Helvetica margin=0.15 shape=rectangle style=dashed]
+		function [fillcolor="#b4d8e4" fontname=Helvetica margin=0.15 shape=rectangle style="rounded,filled"]
+	}
+}

contrib/hamilton/contrib/user/elijahbenizzy/generate_images/requirements.txt

@@ -0,0 +1,2 @@
+# put non-hamilton requirements here
+openai

contrib/hamilton/contrib/user/elijahbenizzy/generate_images/tags.json

@@ -0,0 +1,7 @@
+{
+  "schema": "1.0",
+  "use_case_tags": ["example"],
+  "secondary_tags": {
+    "language": "English"
+  }
+}

contrib/hamilton/contrib/user/elijahbenizzy/generate_images/valid_configs.jsonl

@@ -0,0 +1 @@
+{}