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Build a web application
·
Module 7
Integrating the Gemini AI API
1
API Keys: Secure Handling with Environment Variables
Explain the role of an API key and how to handle it securely using environment variables
2
Installing the Google AI Python Library
Install the Google AI Python library to interact with the Gemini API
3
Crafting Effective Text Generation Prompts
Construct a prompt for a specific text generation task (e.g., summarization)
4
Building a Flask Endpoint for Gemini API Calls
Create a Flask endpoint that calls the Gemini API with the user's prompt
5
Extracting Generated Text from Gemini API JSON Responses
Parse the JSON response from the Gemini API to extract the generated text
6
Handling Common API Errors
Implement basic error handling for common API issues like invalid keys or rate limits
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Connecting Frontend to Backend
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Implementing Core Application Features