metadata

title: Blog Generator
emoji: 🏢
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.43.1
app_file: app.py
pinned: false
license: mit
short_description: 'AI Blog generator with Openai and Groq support. '

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Deploying Your LangGraph Blog Generator

This guide will walk you through setting up and deploying your LangGraph blog generator application.

Prerequisites

Python 3.9+ installed
pip (Python package installer)
Git (optional, for version control)

Step 1: Set Up Your Environment

First, create a project directory and set up a virtual environment:

# Create project directory
mkdir langgraph-blog-generator
cd langgraph-blog-generator

# Create and activate virtual environment
python -m venv venv

# On Windows
venv\Scripts\activate

# On macOS/Linux
source venv/bin/activate

Step 2: Install Required Packages

Create a requirements.txt file with the following content:

langchain
langchain-openai
langchain_groq
langgraph
pydantic
streamlit
python-dotenv

Install the packages:

pip install -r requirements.txt

Step 3: Configure Environment Variables

Create a .env file in your project directory:

OPENAI_API_KEY=your_openai_api_key_here

Replace your_openai_api_key_here with your actual OpenAI API key.

Step 4: Create the Application File

Create a file named app.py and paste the code from the LangGraph Blog Generator code artifact.

Step 5: Run Locally

Test the application locally:

streamlit run app.py

Your browser should open automatically to http://localhost:8501 with the blog generator app running.

Step 6: Deployment

Create a free account on hugginface
Add requirements.txt
Add the files to the spaces
Build the dependencies
Deploy the app

Alternatively, you can deploy to other platforms: