This project is a web application that utilizes Google GenerativeAI to predict content based on a user's question and an optional uploaded file. Users can submit a question and upload a text file (.txt), CSV file (.csv), PDF document (.pdf), or docx document (.docx) for the model to consider when generating content.

Clone this repository:

git clone https://github.com//.git

Use code with caution. Install dependencies:

cd pip install requirements.txt Use code with caution.

Prerequisites

A Google Cloud project with the GenerativeAI API enabled. Refer to Google Cloud documentation on how to enable GenerativeAI: [invalid URL removed] An API key for the GenerativeAI API. Refer to Google Cloud documentation on how to create an API key: https://cloud.google.com/docs/authentication/getting-started Configuration

Create a file named .env in the project root directory and add the following line, replacing <YOUR_API_KEY> with your actual API key:

API_KEY=<YOUR_API_KEY> Running the application

Start the backend server: .

uvicorn main:app --reload Use code with caution.

http://localhost:8000/predict Using the Google GenerativeAI API

This project utilizes Google GenerativeAI to generate content. Refer to the Google GenerativeAI documentation for more details on the API and its capabilities.