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--- |
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title: ECG Instruct Llama 3.2 11B Vision |
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emoji: 🫀 |
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colorFrom: blue |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 5.49.1 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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--- |
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# 🫀 ECG AI7 Backend API |
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Backend API for ECG interpretation using Llama 3.2 11B Vision model. |
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## API Usage |
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### Using Python Client |
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```python |
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from gradio_client import Client, handle_file |
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client = Client("AKSazgar/ECG-Instruct-Llama-3.2-11B-Vision") |
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result = client.predict( |
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handle_file("path/to/ecg.jpg"), # ECG image |
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"55-year-old male with chest pain", # Clinical note (optional) |
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"Farsi", # Language: "English" or "Farsi" |
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api_name="/predict" |
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) |
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print(result) |
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``` |
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### Using Command Line |
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```bash |
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python ecg_client_alt.py \ |
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--url https://aksazgar-ecg-instruct-llama-3-2-11b-vision.hf.space \ |
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--input ecg-images/example.jpg \ |
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--text "Patient clinical notes" \ |
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--lang Farsi |
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``` |
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## API Endpoint |
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- **Space URL**: `https://aksazgar-ecg-instruct-llama-3-2-11b-vision.hf.space` |
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- **API Name**: `/predict` |
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- **Inputs**: |
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- Image file (ECG) |
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- Text (clinical notes, optional) |
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- Language ("English" or "Farsi") |
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- **Output**: Text (ECG interpretation report) |
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## Model |
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Uses [ECG-Instruct-Llama-3.2-11B-Vision](https://huggingface.co/convaiinnovations/ECG-Instruct-Llama-3.2-11B-Vision) by ConvAI Innovations. |
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## Disclaimer |
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⚠️ For educational and research purposes only. Not for clinical use. |
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