Getting Started
Step 0 - Install Python 3.11 or later. See here for a step-by-step guide.
Step 1 - Download the project and navigate to its directory
$ git clone https://github.com/assafelovic/gpt-researcher.git
$ cd gpt-researcher
Step 3 - Set up API keys using two methods: exporting them directly or storing them in a
.env
file.
For Linux/Temporary Windows Setup, use the export method:
export OPENAI_API_KEY={Your OpenAI API Key here}
export TAVILY_API_KEY={Your Tavily API Key here}
For a more permanent setup, create a .env
file in the current gpt-researcher
directory and input the env vars (without export
).
- For LLM provider, we recommend OpenAI GPT, but you can use any other LLM model (including open sources). To learn how to change the LLM model, please refer to the documentation page.
- For web search API, we recommend Tavily Search API, but you can also refer to other search APIs of your choice by changing the search provider in config/config.py to
duckduckgo
,google
,bing
,serper
,searx
and more. Then add the corresponding env API key.
Quickstart
Step 1 - Install dependencies
$ pip install -r requirements.txt
Step 2 - Run the agent with FastAPI
$ uvicorn main:app --reload
Step 3 - Go to http://localhost:8000 on any browser and enjoy researching!
Using Virtual Environment or Poetry
Select either based on your familiarity with each:
Virtual Environment
Establishing the Virtual Environment with Activate/Deactivate configuration
Create a virtual environment using the venv
package with the environment name <your_name>
, for example, env
. Execute the following command in the PowerShell/CMD terminal:
python -m venv env
To activate the virtual environment, use the following activation script in PowerShell/CMD terminal:
.\env\Scripts\activate
To deactivate the virtual environment, run the following deactivation script in PowerShell/CMD terminal:
deactivate
Install the dependencies for a Virtual environment
After activating the env
environment, install dependencies using the requirements.txt
file with the following command:
python -m pip install -r requirements.txt
Poetry
Establishing the Poetry dependencies and virtual environment with Poetry version ~1.7.1
Install project dependencies and simultaneously create a virtual environment for the specified project. By executing this command, Poetry reads the project's "pyproject.toml" file to determine the required dependencies and their versions, ensuring a consistent and isolated development environment. The virtual environment allows for a clean separation of project-specific dependencies, preventing conflicts with system-wide packages and enabling more straightforward dependency management throughout the project's lifecycle.
poetry install
Activate the virtual environment associated with a Poetry project
By running this command, the user enters a shell session within the isolated environment associated with the project, providing a dedicated space for development and execution. This virtual environment ensures that the project dependencies are encapsulated, avoiding conflicts with system-wide packages. Activating the Poetry shell is essential for seamlessly working on a project, as it ensures that the correct versions of dependencies are used and provides a controlled environment conducive to efficient development and testing.
poetry shell
Run the app
Launch the FastAPI application agent on a Virtual Environment or Poetry setup by executing the following command:
python -m uvicorn main:app --reload
Visit http://localhost:8000 in any web browser and explore your research!