[PAID] :google:emini Extension to interact with the Gemini-pro and PaLM 2 models from :google:oogle

[AyanDeveloper]

@_Ahmed

tools that you use to add code

I made my own extension to extract code from response and I use html for code viewer

https://codepen.io/andy0130tw/pen/RwNayaL

[charlesaccount (CharlesKoder93)]

Hi, this is nice work. What is the exact quota of use for free user? Or is it paid, and how many tokens/uses are given? I would like to know so that I do not accidentally use 1000s of $. I’m hoping for something mostly free even if it’s just a low level ai.

[_Ahmed ((Mr. Koder)‬‏)]

See this pricing plans

أسعار Gemini API  |  Google AI for Developers

[charlesaccount (CharlesKoder93)]

Hi Ahmed,

I have been using this extension for awhile. It’s great and working. But all of a sudden tonight there is no response from the model. I am using it correctly, as mentioned it’s been working for a while already, but I logged onto kodular tonight and for some reason no response. Please could you look into it, also I pm you. Thanks

[_Ahmed ((Mr. Koder)‬‏)]

it still working

Method of Blocks:

[charlesaccount (CharlesKoder93)]

Thanks. I did try every block and was working before, but I will test again soon. I’m thinking now maybe it’s the limit of quota.

[_Ahmed ((Mr. Koder)‬‏)]

The quote is limited daily quote

[charlesaccount (CharlesKoder93)]

I have a suggestion (paid) for this extension, please check pm of chat I bough ext. last time​

[charlesaccount (CharlesKoder93)]

Yes, my Gemini has not been responding for a few days though already.

[_Ahmed ((Mr. Koder)‬‏)]

That is strange I checked all things and
it’s working for me in my project

[charlesaccount (CharlesKoder93)]

Been a bit busy, but now I’ve tested it again. It’s actually the regular GenerateGeminiContent giving no response. I was using it a lot up till now and was working then one day not anymore. I see that the GeminiStreamContent is working though as you posted this example here, but I would like to use regular Generate. Please see my previously working blocks, maybe something has change with the accepted JSON/block structure?

[_Ahmed ((Mr. Koder)‬‏)]

Ok , I will create a simple demo app and send it for you at pm messages

[_Ahmed ((Mr. Koder)‬‏)]

New Update for adding a new models from Gemini called “gemini-2.0-flash-exp” , “gemini-2.0-flash-thinking-exp” , “gemini-2.0-flash-thinking-exp-1219”, “gemini-exp-1206” ,
“learnlm-1.5-pro-experimental”

is a powerful model that will handle more complex tasks try it now using the Extension of Gemini

Gemini 2.0 Flash Thinking  |  Gemini API  |  Google AI...

Gemini Extension

[PAID] emini Extension to interact with the Gemini-pro and PaLM 2 models from oogle

[Gemini] The Gemini extension for AI2 allows you to interact with the Google Gemini-Pro and Gemini-Pro-Vesion models and these models that Bard is based on to generate text and control a stream of text generation. Features of the Gemini Extension for AI2: Text Generation with Gemini API: Leverage the power of Google Gemini API for advanced text generation within your AI2 applications. Includes support for various Gemini models. Streaming Text Generation: Experience real-ti…

Experimental models

Experimental models  |  Gemini API  |  Google AI for...

Gemini 2.0 Flash Thinking  |  Gemini API  |  Google AI...

[techxsarthak (Sarthak Gupta)]

@_Ahmed free limit of ai?

[_Ahmed ((Mr. Koder)‬‏)]

NEW BIG UPDATE FOR GEMINI EXTENSION

@_Ahmed

Function: StreamGenerateGeminiContent

@_Ahmed

enableCodeExecution (boolean): Enable code execution capability (true/false).

@_Ahmed

Function: GenerateGeminiThinkingContent

@_Ahmed

Function: StreamGenerateGeminiThinkingContent

@_Ahmed

Function: StreamGenerateContentFromPdfUrl

@_Ahmed

Function: StreamGenerateGeminiStructuredContent

-----------------------

@_Ahmed

Function: CreateJsonSchema

[_Ahmed ((Mr. Koder)‬‏)]

The Most Powerful AI Extension for MIT App Inventor!

This web app showcases just a few of the incredible features of the Gemini API extension—but there’s so much more!

Key Features:
Generate human-like responses
Understand and process natural language
Perform AI-powered text analysis
Enhance your app’s interactivity with smart AI
Create customizable data APIs using the Structured Response feature

And that’s just the beginning! This extension empowers your app with cutting-edge AI capabilities like never before.

Try the Demo Now: https://astounding-beijinho-4cd939.netlify.app/

[_Ahmed ((Mr. Koder)‬‏)]

New Update

Gemini extension now allows you to create and modify images via instructions using Google’s Gemini AI models directly within your App Inventor projects!

@_Ahmed

GenerateImage

Creates a new image from a text description.

• prompt (Text): Description of the desired image.
• apiKey (Text): Google API Key.
• modelName (Text): Image generation model (e.g., “gemini-1.5-flash”). Check Google docs.

EditImage

Modifies an existing image provided as Base64.

• prompt (Text): Instructions for changes.
• inputImageBase64 (Text): Image to edit (Base64 string).
• inputMimeType (Text): MIME type of input image (e.g., “image/jpeg”).
• apiKey (Text): Google API Key.
• modelName (Text): Image editing model.

EditImageFromPath

Modifies an existing image using its file path.

• prompt (Text): Instructions for changes.
• inputImagePath (Text): Full path to the image file on device.
• apiKey (Text): Google API Key.
• modelName (Text): Image editing model.

EditMultipleImagesSimple

Advanced editing/generation using multiple input images (URL/Path/Base64) and text.

• prompt (Text): Instructions involving the images.
• imageSourceStrings (List): List of image sources (URLs, paths, or Base64 strings).
• apiKey (Text): Google API Key.
• modelName (Text): Multi-image capable model.

DisplayBase64Image

Helper block to display Base64 image data on an Image component.

• base64Data (Text): Base64 image data (from GotImageResponse).
• mimeType (Text): Image MIME type (from GotImageResponse).
• imageComponent (Component): The Image component to display on.

Event: GotImageResponse

Fires when image generation/editing succeeds.

• imageBase64 (Text): Resulting image as Base64. Empty on failure.
• mimeType (Text): MIME type of the result (e.g., “image/png”).
• responseText (Text): Any text from the API (e.g., errors if blocked).
• rawApiResponse (Text): Full JSON response (for debugging).
• imagePath (Text): Path where the result image was saved in app storage (ASD). Empty on failure.

Examples of generating and editing with Gemini

[_Ahmed ((Mr. Koder)‬‏)]

New Update: You can now use the Gemini AI model to analyze any video, even from a local path or any Youtube video URL

@_Ahmed

• StreamGenerateContentFromLocalVideoPath
  • Parameters:
    • videoPath (String): The local file path to a video file.
    • prompt (String): The text prompt related to the video content.
    • apiKey (String): Your Google AI API Key.
    • modelName (String): The Gemini model to use.
    • systemInstructionsValue (String): Optional system instructions.
    • jsonSchemaString (String): Optional JSON schema for structured output.
  • Description: Uploads a local video file using the File API, polls until the file is processed (“ACTIVE”), and then starts a streaming request based on the video content and prompt. Optionally includes system instructions and/or requests structured output via a JSON schema. Response chunks arrive via GotGeminiStream. Triggers StreamFinished when done or ErrorOccurred on failure.

• StreamGenerateContentFromLocalVideoPathWithInstructions
  • Parameters:
    • videoPath (String): The local file path to a video file.
    • prompt (String): The text prompt related to the video content.
    • apiKey (String): Your Google AI API Key.
    • modelName (String): The Gemini model to use.
    • systemInstructionsValue (String): Optional system instructions.
  • Description: Similar to StreamGenerateContentFromLocalVideoPath, but only includes the option for system instructions (no structured output schema). Uploads the video, waits for processing, then starts the streaming request. Response chunks arrive via GotGeminiStream. Triggers StreamFinished when done or ErrorOccurred on failure. Uses standard Designer Properties for generation config.

• StreamGenerateContentFromYouTubeUrl (Overload 1 - Basic)
  • Parameters:
    • youtubeUrl (String): Public URL of a YouTube video (including Shorts).
    • prompt (String): Text prompt relating to the video.
    • apiKey (String): Your Google AI API Key.
    • modelName (String): The Gemini model to use.
  • Description: Starts a streaming analysis request using a YouTube URL and prompt. Uses default generation settings from Designer Properties. Response chunks arrive via GotGeminiStream. Triggers StreamFinished when done or ErrorOccurred on failure.

• StreamGenerateStructuredContentFromYouTubeUrl (Overload 2 - Advanced)
  • Parameters:
    • youtubeUrl (String): Public URL of a YouTube video (including Shorts).
    • prompt (String): Text prompt relating to the video.
    • apiKey (String): Your Google AI API Key.
    • modelName (String): The Gemini model to use.
    • systemInstructionsValue (String): Optional system instructions.
    • jsonSchemaString (String): Optional JSON schema for structured output.
  • Description: Starts a streaming analysis request using a YouTube URL and prompt. Optionally includes system instructions and/or requests structured output via a JSON schema. Response chunks arrive via GotGeminiStream. Triggers StreamFinished when done or ErrorOccurred on failure.

[_Ahmed ((Mr. Koder)‬‏)]

New blocks added that will enhance the UX

Files Upload Manager

Uploads a local file, waits for it to be processed (ACTIVE), " +
"and returns detailed metadata via the ‘GotFileMetadata’ event. " +
"Also reports progress via ‘FileUploadProgress’.

Reports the progress of a file upload (e.g., video, audio, pdf)."

Retrieves the direct download URI for the content of a file identified by its resource name (e.g., ‘files/your_file_id’). " +
"Use this URI to download the file content directly (e.g., with Web component).

image understanding

Analyzes multiple images (from URLs/Paths) based on prompt, streaming results. Optionally provide system instructions and/or JSON schema. Results via GotGeminiStream/StreamFinished events.

Analyzes an image from URL based on prompt, streaming results. Optionally provide system instructions and/or a JSON schema for structured output. Results via GotGeminiStream/StreamFinished events.

video understanding

Note:
the blocks of processing local video fires the event of uploading progress function to track the upload progress , also these blocks enable Gemini AI model process videos up to 2GB size