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.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

@@ -1,12 +1,6 @@
 ---
-title: Ingredient Parser
-emoji: 📉
-colorFrom: indigo
-colorTo: purple
+title: ingredient-parser
+app_file: app.py
 sdk: gradio
 sdk_version: 5.7.1
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from typing import List, Optional
+import gradio as gr
+from dotenv import load_dotenv
+from pydantic import BaseModel
+from openai import OpenAI
+import instructor
+
+load_dotenv()
+
+QUERY = """
+    extract all singular ingredients from the provided ingredient string. 
+    While doing so, shorten the ingredient name to only the essential part.
+    Do not translate the names.
+    """
+STIMULI = "This is very important to my career."
+
+
+class Ingredient(BaseModel):
+    """
+    Represents an ingredient with a name and an optional amount.
+
+    Attributes:
+        name (str): The name of the ingredient.
+        amount (Optional[float]): The amount of the ingredient. This can be None if the amount is not specified.
+    """
+
+    name: str
+    amount: Optional[float]
+    is_allergen: Optional[bool]
+
+
+class Ingredients(BaseModel):
+    """
+    Ingredients model that contains a list of Ingredient objects.
+
+    Attributes:
+        contains (List[Ingredient]): A list of Ingredient objects.
+    """
+
+    contains: List[Ingredient]
+
+
+# client = instructor.from_openai(OpenAI(), mode=instructor.Mode.JSON)
+
+
+def predict(ingredients: str, openai_key: str) -> Ingredients:
+    """
+    Predicts the ingredients using a GPT-3.5-turbo model.
+
+    Args:
+        ingredients (str): A string containing the ingredients to be parsed.
+
+    Returns:
+        Ingredients: The parsed ingredients in the form of an Ingredients object.
+    """
+
+    client = OpenAI(api_key=openai_key)
+
+    return (
+        client.beta.chat.completions.parse(
+            model="gpt-4o-mini",
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"""
+                {QUERY}
+                {ingredients}
+                {STIMULI}
+                """,
+                },
+            ],
+            response_format=Ingredients,
+            temperature=0.0,
+        )
+        .choices[0]
+        .message.parsed.model_dump_json(exclude_unset=True, exclude_none=True)
+    )
+
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=["text", gr.Text(label="OpenAI API Key", type="password")],
+    outputs="json",
+)
+demo.launch()

requirements.txt

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+openai 
+pydantic