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  • google-generativeai·PyPI
    pip install -U google-generativeai Import the SDK and configure your API key import google generativeai as genai import os genai configure ( api_key = os environ [ "GEMINI_API_KEY" ])
  • GitHub - mytechnotalent Gemini: Google Gemini AI model w speech . . .
    Google Gemini AI model w speech recognition and voice source venv bin active genai configure (api_key=GOOGLE_GEMINI_API_KEY) model = genai GenerativeModel ('gemini-pro') while True: r = sr Recognizer () mic = sr Microphone () with mic as source: print ("Speak now to Gemini ") audio = r listen (source) text = r recognize_google (audio)
  • ModuleNotFoundError: No module named google. generative
    pip install google-generativeai and the correct import import google generativeai as genai Link to doc: https: ai google dev api python google generativeai
  • ChatGoogleGenerativeAI | ️ LangChain
    Access Google's Generative AI models, including the Gemini family, directly via the Gemini API or experiment rapidly using Google AI Studio The langchain-google-genai package provides the LangChain integration for these models
  • Google Colab
    # Install the client library and import necessary modules import google generativeai as genai import base64 import io import json import mimetypes import pathlib import pprint import requests
  • google-genai·PyPI
    Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications It supports the Gemini Developer API and Vertex AI APIs Please run one of the following code blocks to create a client for different services (Gemini Developer API or Vertex AI)
  • How to Set Up and Use Google Generative AI in Python
    Next, import the required libraries and configure the Generative AI model using your API key: Python Code import google generativeai as genai import os from dotenv import load_dotenv # Load API key from env file load_dotenv() google_api_key = os getenv('API_KEY') # Configure the Generative AI model genai configure(api_key=google_api_key)
  • A chatbot implemented on streamlit that performs both text-to-speech . . .
    This project is a Streamlit-based chatbot application that uses Google's Gemini Generative Model to generate responses The application can take user inputs via text or speech, process them, and provide responses both in text and audio formats
  • Generating content | Gemini API | Google AI for Developers
    Make sure to include the following import: import {GoogleGenAI} from '@google genai'; const ai = new GoogleGenAI ({apiKey: process env GEMINI_API_KEY}); const response = await ai models generateContent ({model: "gemini-2 0-flash", contents: "Write a story about a magic backpack ",}); console log (response text);





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