| import gradio as gr | |
| import requests | |
| import os | |
| API_URL = "https://api-inference.huggingface.co/models/atlasia/Terjman-Large-v2" | |
| HF_TOKEN = os.environ['HF_TOKEN'] | |
| headers = {"Authorization": "Bearer "+ HF_TOKEN} | |
| def respond(english_text): | |
| payload = { | |
| "inputs": english_text, | |
| } | |
| darija_translated_text = requests.post(API_URL, headers=headers, json=payload) | |
| return darija_translated_text.json()[0]["generated_text"] | |
| app = gr.Interface(fn=respond, inputs="text", outputs="text", title="Terjman-Large 👨💻🥰", description="Translate English text to Moroccan Darija using our Large model (240M) 🤗") | |
| if __name__ == "__main__": | |
| app.launch() |