feat: Creating Career AI repository

.env.example

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+OPENAI_API_KEY=

.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/
+
+tmp/*.png
+
+.DS_Store

README.md

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+# Career AI
+
+This is an application of Generative AI developed by the Wizeline team for the activities made in Bogotá, Colombia, with the students of San José de Castilla School and Villemar El Carmen School.
+
+The application creates a story about the professional career of the students, based on their interests.
+
+## Technology Stack :computer:
+
+- Python: 3.9.6
+- Gradio: 4.19.2
+- Openai: 1.35.15
+- Pydantic: 2.8.2
+- Requests: 2.26.0
+
+## Installation :wrench:
+
+Create a virtual environment
+
+```bash
+python3 -m venv venv
+```
+
+Activate the virtual environment
+
+```bash
+source venv/bin/activate
+```
+
+Install the dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+Assign the value of the environment variable in the .env file
+
+## Usage :rocket:
+
+Run the application
+
+```bash
+python main.py
+```
+
+Access the application in your browser: http://localhost:7860/
+
+You will see the following screen:
+
+![image](resources/empty_fields.png)
+
+Fill the fields with the information of the student and click the button "Submit".
+The application will generate a story about the professional career of the student of today, in 5 years and in 15 years.
+
+![image](resources/today_story.png)
+
+![image](resources/some_years.png)
+
+![image](resources/many_years.png)
+
+## Demo :tv:
+
+In this link, you can see a demo of the application: [Career AI](https://drive.google.com/file/d/1RuJClFehM0FUOrMpM6oq8HLValp0XKHF/view?usp=drive_link)
+
+Cheers!

app/api_logic.py

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+from openai import AsyncOpenAI
+from dotenv import load_dotenv
+
+from app.prompts import SYSTEM_ROLE
+
+load_dotenv()
+
+client = AsyncOpenAI()
+
+GENERAL_MESSAGE = [
+    {
+        "role": "system",
+        "content": SYSTEM_ROLE
+    }
+]
+
+COMMON_SETTINGS = {
+    'max_tokens': 500,
+    'top_p': 1,
+    'frequency_penalty': 0,
+    'presence_penalty': 0,
+}
+
+
+async def get_completion_text(prompt: str, model: str = 'gpt-4-turbo', temperature: float = 0.5) -> str:
+    messages = GENERAL_MESSAGE + [
+        {
+            'role': 'user',
+            'content': prompt
+        }
+    ]
+
+    response = await client.chat.completions.create(
+        model=model,
+        messages=messages,
+        temperature=temperature,
+        **COMMON_SETTINGS,
+    )
+
+    return response.choices[0].message.content
+
+
+async def get_completion_image(prompt: str, model: str = 'dall-e-3') -> str:
+    response = await client.images.generate(
+        model=model,
+        n=1,
+        prompt=prompt,
+        size='1024x1024',
+    )
+
+    return response.data[0].url