Contrib/logogenerator

contrib/wordlyworks/.env.example

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+NOUN_PROJECT_KEY=  c87a8c5fb6354664af47395db447cc72
+NOUN_PROJECT_SECRET= 3809573e72fc4125b4c33782b0c74229

contrib/wordlyworks/README.md

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+# Setup
+
+```
+git clone https://github.com/MLDSAI/OpenAdapt.git
+cd OpenAdapt/contrib/wordlyworks
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+cp .env.example .env  # open .env and fill in the values
+```
+
+# Run
+```
+python main.py
+```

contrib/wordlyworks/main.py

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+"""
+Use named entity recognition to extract entities from text description (e.g. Spacy)
+Download SVGs from https://thenounproject.com/
+Ask large language model to arrange
+Generate combined SVG
+Run through e.g. Stable Diffusion and/or ask large language model to generate animation code
+"""
+
+from pprint import pformat
+from requests_oauthlib import OAuth1
+import os
+import requests
+from contrib.wordlyworks import ner.ner
+
+from dotenv import load_dotenv
+from loguru import logger
+import ner
+#from TheNounProjectAPI import API
+
+
+load_dotenv()
+
+
+def main():
+    key = os.environ["NOUN_PROJECT_KEY"]
+    secret = os.environ["NOUN_PROJECT_SECRET"]
+    logger.info(f"{key=} {secret=}")
+
+
+    auth = OAuth1(key, secret)
+    endpoint = "https://api.thenounproject.com/v2/icon/1"
+
+    response = requests.get(endpoint, auth=auth)
+    logger.info(f"response=\n{pformat(response.json())}")
+
+    if 0:
+        api = API(key=key, secret=secret)
+        icons = api.get_icons_by_term("goat", public_domain_only=True, limit=2)
+        for icon in icons:
+            print("Icon's term:", icon.term)
+            print("This icon's tags:", ", ".join(tag.slug for tag in icon.tags))
+            print("Uploader's username:", icon.uploader.username)
+
+
+if __name__ == "__main__":
+    main()

contrib/wordlyworks/ner.py

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+import spacy
+
+
+def ner():
+    nlp = spacy.load("en_core_web_sm")
+
+    text_description = '''
+    Apple Inc. is planning to open a new factory in Austin, Texas. 
+    The plan will reportedly cost $1 billion and create jobs for 5,000 people. 
+    Apple's CEO, Tim Cook, will oversee the new project.
+    '''
+
+    document_object = nlp(text_description)
+
+    for entity in document_object.ents:
+        print(f"{entity.text}, ({entity.label_})")
+
+
+if __name__ == "__main__":
+    ner()
+
+
+
+

contrib/wordlyworks/requirements.txt

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+loguru==0.7.0
+python-dotenv==1.0.0
+#TheNounProjectAPI==1.0.5
+
+
+