#LiveAPI

[govindhtech]

Google Magic Mirror Experience Driven by Gemini Models

Google Magic Mirror

The new “Google Magic Mirror” showcases the JavaScript GenAI SDK and Gemini API's interactivity. A mirror, a common object, becomes a discussion interface in this idea.

The Google Magic Mirror optimises real-time communication. Interactivity relies on the Live API, which allows real-time voice interactions. The mirror participates in a genuine back-and-forth discussion in text or voice by digesting speech as you speak, unlike systems that merely listen for one order.

The Live API powers bidirectional, real-time audio streaming and communication. One of Live API's most dynamic features is speech detection during playback. This interruption can dynamically change the tale and dialogue, enabling text and aural dialogue, depending on the user's actions.

Google Magic Mirror can be a “enchanted storyteller” and a communication tool. This feature uses the Gemini model's advanced generating capabilities. The storytelling component can be customised by delivering system commands that affect the AI's tone and conversational style. By modifying speech configurations during initialisation, the AI can respond with different voices, accents, dialects, and other traits. AI language and voice are changed by speech setting.

The project combines the model's real-world connection for contemporary information seekers. The Google Magic Mirror may use Grounding with Google Search to provide real-time, grounded news. This ensures that the mirror's responses are not limited to its training material. Starting with Google Search ensures current, reliable information.

Image generation by the mirror adds a touch of “visual alchemy” to the experience. Function Calling from the Gemini API lets the mirror create images from user descriptions. This strengthens the engagement and deepens storytelling. The Gemini model determines whether a user request creates an image and triggers a function based on provided features.

The picture production service receives a detailed prompt from the user's spoken words. Function Calling is a more extensive feature that allows Gemini models to speak with publically accessible external tools and services, such as picture generation or bespoke actions, based on the discussion.

The user experience hides the technology intricacies, while strong Gemini model aspects provide this “magical experience” in the background. Among these technical traits:

Live API controls bidirectional, real-time audio streaming and communication.

Gemini models can call functions from external tools and services like picture production or bespoke actions based on the discussion.

Using Google Search for current, accurate information.

System directives shape AI tone and conversation.

Speech configuration changes AI responses' tone and vocabulary.

Modality control lets the Gemini API anticipate output modalities or respond in text or voice.

The inventors say their Gemini-enabled Google Magic Mirror is more than a gimmick. It shows how advanced AI may be blended into real life to create helpful, fascinating, and even miraculous interactions. Flexibility allows the Gemini API to enable many more applications. Immersive entertainment platforms, dynamic educational tools, and personalised assistants are possible applications.

The Google Magic Mirror's code is available on GitHub for those interested in its technical operation. Hackster.io also provides a detailed build tutorial. The founders of X and LinkedIn want the community to imagine what their Google magic mirror could do and contribute ideas and other Gemini-enabled products.

According to Senior Developer Relations Engineer Paul Ruiz on the Google Developers Blog, this effort celebrates generative AI's ability to turn everyday objects into interactive portals.

[devnews]

LiveAPI: The GPS for Your Organization’s APIs

Imagine trying to drive across a city without GPS. Every turn requires asking for directions, relying on outdated maps, or digging through vague notes. Inefficient, frustrating, and slow. Now, imagine your engineering team navigating a vast, interconnected system of internal APIs without a real-time, searchable map. How much time is wasted hunting for endpoints, deciphering legacy documentation,…

[liveapiin]

At LiveAPI, we provide cutting-edge API solutions for a wide range of applications, including commodities, stocks, URL shorteners, and flight search. Our platform is designed to offer developers seamless integration and access to real-time data, empowering them to build innovative and efficient solutions.

Commodities: Stay ahead in the commodities market with our comprehensive API solutions. Access real-time data on a variety of commodities including precious metals, agricultural products, energy resources, and more. Whether you're a trader, analyst, or researcher, our APIs provide the insights you need to make informed decisions and capitalize on market opportunities.

Stocks: Gain a competitive edge in the stock market with our powerful stock market APIs. Access live stock prices, historical data, company fundamentals, and more. Whether you're building a trading platform, conducting market research, or developing investment tools, our APIs offer the reliability and accuracy you need to succeed in today's dynamic stock market.

URL Shorteners: Simplify your link management with our URL shortener API. Create short, custom links on the fly, track clicks, and monitor engagement in real-time. Whether you're looking to streamline your marketing campaigns, track social media performance, or enhance user experience, our URL shortener API has you covered.

[weusegadgets]

Announcing Browserling's Live API https://t.co/fMGu8dfuCk #liveapi #ci #automate #demo #sandbox #api #qa #rebranding #browserling #sandboxing #browser #javascript #browsing #qualityassurance #automating #whitelabeling #reselling #embed #continuousintegration #browsers

[maxforlive]

via MaxforLive.com New Devices

[500ok]

cPanel

Location of cpsrvd socket for liveApi:

/usr/local/cpanel/var/cpwrapd.sock

cpsrvd - cPanel Service Daemon (answers API calls amongst other features)

Acquiring system resource usage for LVE

Using “lveinfo” command:

lveinfo -l 0 -d --period 24h

-d - display username instead of numerical id

-l 0 - display results for all LVEs

--period 24 - display averages for last 24 hours

Using cPanel’s API (shell tool for api requests):

cpapi2 --user=<username> LVEInfo getUsage

Refs.: (1) https://documentation.cpanel.net/display/SDK/Guide+to+UAPI (2) https://documentation.cpanel.net/display/SDK/Guide+to+cPanel+API+2

[govindhtech]

Vertex AI Gemini Live API Creates Real-Time Voice Commands

Gemini Live API

Create live voice-driven agentic apps using Vertex AI Gemini Live API. All industries seek aggressive, effective solutions. Imagine frontline personnel using voice and visual instructions to diagnose issues, retrieve essential information, and initiate processes in real time. A new agentic industrial app may be created with the Gemini 2.0 Flash Live API.

This API extends these capabilities to complex industrial processes. Instead of using one data type, it uses text, audio, and visual in a continuous livestream. This allows intelligent assistants to understand and meet the demands of manufacturing, healthcare, energy, and logistics experts.

The Gemini 2.0 Flash Live API was used for industrial condition monitoring, notably motor maintenance. Live API allows low-latency phone and video communication with Gemini. This API lets users have natural, human-like audio chats and halt the model's answers with voice commands. The model processes text, audio, and video input and outputs text and audio. This application shows how APIs outperform traditional AI and may be used for strategic alliances.

Multimodal intelligence condition monitoring use case

Presentation uses Gemini 2.0 Flash Live API-powered live, bi-directional, multimodal streaming backend. It can interpret audio and visual input in real time for complex reasoning and lifelike speech. Google Cloud services and the API's agentic and function calling capabilities enable powerful live multimodal systems with a simplified, mobile-optimized user experience for factory floor operators. An obviously flawed motor anchors the presentation.

A condensed smartphone flow:

Gemini points the camera at motors for real-time visual identification. It then quickly summaries relevant handbook material, providing users with equipment details.

Real-time visual defect detection: Gemini listens to a verbal command like “Inspect this motor for visual defects,” analyses live video, finds the issue, and explains its source.

When it finds an issue, the system immediately prepares and sends an email with the highlighted defect image and part details to start the repair process.

Real-time audio defect identification: Gemini uses pre-recorded audio of healthy and faulty motors to reliably identify the issue one based on its sound profile and explain its results.

Multimodal QA on operations: Operators can ask complex motor questions by pointing the camera at certain sections. Gemini effectively combines motor manual with visual context for accurate voice-based replies.

The tech architecture

The demonstration uses Google Cloud Vertex AI's Gemini Multimodal Livestreaming API. The API controls workflow and agentic function calls while the normal Gemini API extracts visual and auditory features.

A procedure includes:

Function calling by agents: The API decodes audio and visual input to determine intent.

The system gathers motor sounds with the user's consent, saves them in GCS, and then begins a function that employs a prompt with examples of healthy and faulty noises. The Gemini Flash 2.0 API examines sounds to assess motor health.

The Gemini Flash 2.0 API's geographical knowledge is used to detect and highlight errors by recognising the intent to detect visual defects, taking photographs, and invoking a method that performs zero-shot detection with a text prompt.

Multimodal QA: The API recognises the objective of information retrieval when users ask questions, applies RAG to the motor manual, incorporates multimodal context, and uses the Gemini API to provide exact replies.

After recognising the intention to repair and extracting the component number and defect image using a template, the API sends a repair order via email.

Key characteristics and commercial benefits from cross-sector usage cases

This presentation highlights the Gemini Multimodal Livestreaming API's core capabilities and revolutionary industrial benefits:

Real-time multimodal processing: The API can evaluate live audio and video feeds simultaneously, providing rapid insights in dynamic circumstances and preventing downtime.

Use case: A remote medical assistant might instruct a field paramedic utilising live voice and video to provide emergency medical aid by monitoring vital signs and visual data.

Gemini's superior visual and auditory reasoning deciphers minute aural hints and complex visual settings to provide exact diagnoses.

Utilising equipment noises and visuals, AI can predict failures and eliminate manufacturing disruptions.

Agentic function invoking workflow automation: Intelligent assistants can start reports and procedures proactively due to the API's agentic character, simplifying workflows.

Use case: A voice command and visual confirmation of damaged goods can start an automated claim procedure and notify the required parties in logistics.

Scalability and seamless integration: Vertex AI-based API interfaces with other Google Cloud services ensure scalability and reliability for large deployments.

Use case: Drones with cameras and microphones may send real-time data to the API for bug identification and crop health analysis across huge farms.

The mobile-first design ensures that frontline staff may utilise their familiar devices to interact with the AI assistant as needed.

Store personnel may use speech and image recognition to find items, check stocks, and get product information for consumers on the store floor.

Real-time condition monitoring helps industries switch from reactive to predictive maintenance. This will reduce downtime, maximise asset use, and improve sectoral efficiency.

Use case: Energy industry field technicians may use the API to diagnose faults with remote equipment like wind turbines without costly and time-consuming site visits by leveraging live audio and video feeds.

Start now

Modern AI interaction with the Gemini Live API is shown in this solution. Developers may leverage its interruptible streaming audio, webcam/screen integration, low-latency speech, and Cloud Functions modular tool system as a basis. Clone the project, tweak its components, and develop conversational, multimodal AI solutions. Future of intelligent industry is dynamic, multimodal, and accessible to all industries.