README.md

metadata

title: ECG Instruct Llama 3.2 11B Vision
emoji: 🫀
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: apache-2.0

🫀 ECG AI7 Backend API

Backend API for ECG interpretation using Llama 3.2 11B Vision model.

API Usage

Using Python Client

from gradio_client import Client, handle_file

client = Client("AKSazgar/ECG-Instruct-Llama-3.2-11B-Vision")

result = client.predict(
    handle_file("path/to/ecg.jpg"),  # ECG image
    "55-year-old male with chest pain",  # Clinical note (optional)
    "Farsi",  # Language: "English" or "Farsi"
    api_name="/predict"
)

print(result)

Using Command Line

python ecg_client_alt.py \
    --url https://aksazgar-ecg-instruct-llama-3-2-11b-vision.hf.space \
    --input ecg-images/example.jpg \
    --text "Patient clinical notes" \
    --lang Farsi

API Endpoint

• Space URL: https://aksazgar-ecg-instruct-llama-3-2-11b-vision.hf.space
• API Name: /predict
• Inputs:
  • Image file (ECG)
  • Text (clinical notes, optional)
  • Language ("English" or "Farsi")
• Output: Text (ECG interpretation report)

Model

Uses ECG-Instruct-Llama-3.2-11B-Vision by ConvAI Innovations.

Disclaimer

⚠️ For educational and research purposes only. Not for clinical use.