flowchart LR
A((Start))
B{New project?}
C[Discuss requirements with AI]
D[Discuss feature/scope with AI]
E([Generate PRD & Dev Plan])
F([Generate Dev Plan])
G([Create tickets])
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| import sys | |
| sys.path.append("..") | |
| from prompts.prompt_manager import PromptManager | |
| support_prompt = PromptManager.get_prompt( | |
| "ticket_analysis", pipeline="support", ticket={} | |
| ) |
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| #! /usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """This module's docstring summary line. | |
| This is a multi-line docstring. Paragraphs are separated with blank lines. | |
| Lines conform to 79-column limit. | |
| Module and packages names should be short, lower_case_with_underscores. | |
| Notice that this in not PEP8-cheatsheet.py |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman