📊 A social media analytics module built with Langflow and DataStax to analyze engagement metrics for post types.
✨ Leverages LLM(GPT can be used, currently I am using LLAMA3.3 model) to provide data-driven insights for optimizing social media strategies.
1️⃣ Install uv
for fast Langflow installation using the instructions from the official UV documentation.
2️⃣ Run pip install uv
to set up Python for uv
.
1️⃣ Create a virtual environment:
uv venv .
2️⃣ Activate the virtual environment:
- Windows 🪟:
.venv\Scripts\activate
- Mac/Linux 🐧:
source .venv/bin/activate
Install Langflow using uv
pip:
uv pip install langflow
Run Langflow locally with the following command:
uv run langflow run
Open the local Langflow web app at:
http://127.0.0.1:7860
1️⃣ Click on the "Upload a Flow" button.
2️⃣ Select the file "SuperMind Level Hackathon.json".
1️⃣ Open the uploaded file.
2️⃣ Click the 'Run' button on the rightmost card to execute the workflow.