python-docs-samples
generative-ai-swift
| python-docs-samples | generative-ai-swift | |
|---|---|---|
| 17 | 4 | |
| 7,010 | 837 | |
| 1.2% | 8.1% | |
| 9.9 | 8.9 | |
| 3 days ago | 8 days ago | |
| Jupyter Notebook | Swift | |
| Apache License 2.0 | Apache License 2.0 |
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python-docs-samples
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Gemini API 102: Next steps beyond "Hello World!"
QuickStart code
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Moving my app to Google cloud
Thanks, this is helpful. Do you have any github repo that I can follow? I have found this and this. There are a million folders within both of them. Even after narrowing it down after your kind suggestion there is still so much material out there and it's a bit bewildering for a newbie.
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I'm starting to work on a project on HTR on natural museum artefacts. I need guidance on how to go about it, and I'd also need to know If my ideas are feasible.
Python code samples : https://github.com/GoogleCloudPlatform/python-docs-samples/blob/HEAD/vision/snippets/detect/detect.py
- Cloud Functions + Pub/Sub + Dataproc
- Does not have the required permissions to perform the operation and may have invalid credentials
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free app projects I can deploy on GCP
Python
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GCP Project Ideas
Google has a lot of sample projects that you can play around with/start with. For example, this is a link to sample Apps based on Python from Google. They also have similar links for other languages - PHP, NodeJS.
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Is there a repository of GCP script examples?
For example, here is their repo with Python examples https://github.com/GoogleCloudPlatform/python-docs-samples
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Which Should I Choose: App Engine or Firebase?
- I would say that building a basic web app in Python is not complicated. Worst case, you can start off with the template of an already working App and then make changes as you deem fit. Google has sample apps. If those are too complicated, our App has templates for `````'Hello World' that can get you up and running. We also have a blog series on building a blogging app on GAE
- QUESTION: HTTP Triggered Google Cloud Functions?
generative-ai-swift
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Gemini API 102: Next steps beyond "Hello World!"
The previous post kicked off the conversation about generative AI, presenting "Hello World!" examples that help you get started with the Gemini API in a more user-friendly way than in Google's documentation. It presented code samples showing you how to use the API from both Google AI as well as GCP Vertex AI. This post follows up with a multimodal example, one that supports streaming output, and another one that supports multi-turn conversations ("chat"), and how to upgrade to the latest 1.0 and 1.5 models, the latter of which is in public preview at the time of this writing.
- Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author
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Power your Flutter App with Gemini AI ✨
Get your API Key here
- The Google AI SDK for Swift
What are some alternatives?
nodejs-docs-samples - Node.js samples for Google Cloud Platform products.
vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
python-firestore
Alamofire - Elegant HTTP Networking in Swift
professional-services - Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
open-source-mac-os-apps - 🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
java-docs-samples - Java and Kotlin Code samples used on cloud.google.com
swift-algorithm-club - Algorithms and data structures in Swift, with explanations!
documentation - A general GCP documentation, FAQ, and how-to repository, maintained by the /r/googlecloud community on Reddit.
ShadowsocksX-NG - Next Generation of ShadowsocksX
functions-framework-python - FaaS (Function as a service) framework for writing portable Python functions
open-source-ios-apps - :iphone: Collaborative List of Open-Source iOS Apps