Google Gemini
Google Gemini is an advanced AI model developed by Google, designed for natural language understanding, content generation, and multimodal processing, including text, images, and code. It powers applications like chatbots, AI assistants, and creative tools, offering capabilities similar to large language models. Gemini comes in different versions, including Gemini Pro for text-based tasks and Gemini Pro Vision for analyzing both text and images, making it a versatile AI solution for various industries.
How to Integrate Google Gemini with ZBrain Flow
To integrate Google Gemini with ZBrain Flow:
Click the ‘+’ button in ZBrain Flow to add a new integration.
Type "Google Gemini" in the search bar and select it from the available options.
Choose an action (such as content generation, image processing, or chat) to begin the setup process.
How to Connect Google Gemini to ZBrain Flow
To enable seamless interaction between Google Gemini and ZBrain Flow, you need to establish a secure connection using an API key.
Connection Establishment Steps
Enter a Connection Name
Provide a unique name to identify your Google Gemini connection in ZBrain Flow.
Enter the API Key
You will need an API key from Google Gemini to authenticate your requests.
How to Get an API Key for Google Gemini
Sign in to Your Google Account
Ensure you’re logged into your Google account.
Access Google AI Studio
Navigate to Google AI Studio.
Generate an API Key
Click on ‘Get API Key’ in Google AI Studio.
Review and accept the Terms of Service.
Follow the prompts to generate your API key.
Secure Your API Key
Keep your API key confidential. Avoid sharing it publicly or storing it in unsecured locations. 3. Click ‘Save’
After entering the API key, click ‘Save’ to complete the connection setup.
Actions Available in Google Gemini Integration
1. Generate Content (Using Gemini Pro)
Generates AI-driven content based on a text prompt.
Configuration Steps:
Enter the API key.
Input the prompt to generate content.
Select the model to generate the content.
2. Generate Content from Image (Using Gemini Pro Vision)
Generates AI-driven content based on an image input and text prompt.
Configuration Steps:
Enter the API key.
Input the prompt to generate content.
Upload the image to analyze and generate the response.
Select the model to process the image.
3. Chat with Gemini
Engage in AI-powered conversational interactions using Google Gemini.
Steps:
Enter the API key.
Select the model to generate the response.
Enter the prompt (question or conversation starter).
Enter the memory key to retain chat history.
Leave it empty if you do not want Gemini to remember past messages.
4. Custom API Call
Make custom API requests to the Google Gemini API for advanced operations.
Configuration Steps:
Enter the API key.
Enter the URL: You can use the full URL or the relative path to the Google Gemini API.
Select the HTTP Method: Choose the appropriate request type:
GET – Retrieve AI-generated data.
POST – Send new requests for AI processing.
PATCH – Modify existing configurations.
PUT – Update AI-generated responses.
DELETE – Remove AI-generated data.
HEAD – Fetch response headers only.
Additional Settings:
Add Headers – Define custom headers for the request. Authorization headers are automatically included. Click '+ Add Item' to include more headers.
Add Query Parameters – Customize API requests by adding filters or specific options. Click '+ Add Item' to add more parameters.
Enter JSON Body – Provide structured request data in JSON format.
Set Timeout (in Seconds) – Define a timeout duration to prevent long-running requests from stalling.
Note: Click 'f' to insert dynamic values for flexible configurations.
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