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πŸ€– GPT

Advanced Codeless App Dev Made Easy

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TEXT-DAVINCI-003
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πŸš€ Introducing our revolutionary prompt for project management and application development! πŸ€– Say goodbye to tedious coding and file organizing. With our prompt, you'll have a complete process for any project at your fingertips. Perfect for developers of all levels. Upgrade now and streamline your workflow! πŸ’»
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Over 1 month ago

Prompt Details

Model
Completion - GPT-3.5 (text-davinci-003)
Token size
240 ($0.00480 / call)
Example input
creating an online course on home brewing craft beer
Example output
Great! Here is the file structure for your project using emojis: πŸ“ homebrewing_course πŸ“ data πŸ“„ beer_ingredients.csv πŸ“ images πŸ“„ beer_bottle.png πŸ“„ beer_glass.png πŸ“ notebooks πŸ“„ data_exploration.ipynb πŸ“„ beer_recipe_generator.ipynb πŸ“„ beer_tasting_notes.ipynb πŸ“ src πŸ“„ data_processing.py πŸ“„ recipe_generator.py πŸ“„ tasting_notes.py πŸ“„ README.md πŸ“„ requirements.txt For this project, we will use Python as the main programming language and the following libraries and frameworks: Pandas: for data analysis and manipulation. NumPy: for numerical computing. Scikit-learn: for machine learning algorithms. Flask: for building the web application. Bootstrap: for designing the web application. Here is an example code for generating a random beer recipe using the ingredients data file in the data folder and the recipe_generator.py script in the src folder: python Copy code import pandas as pd import numpy as np from src.recipe_generator import generate_recipe # Load the ingredients data file data_file = 'data/beer_ingredients.csv' data = pd.read_csv(data_file) # Generate a random recipe recipe = generate_recipe(data) # Print the recipe print(recipe) And here is the content of the requirements.txt file: Copy code pandas numpy scikit-learn Flask Flask-WTF Bootstrap I hope this helps you get started with your project. Let me know if you have any further questions or if you need any more assistance.
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