chore: adding app

app.py

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+import os
+import gradio as gr
+import tensorflow as tf
+import tensorflow_text as tf_text
+from huggingface_hub import Repository
+
+repo = Repository(
+	local_dir="nmt-transformer",
+	clone_from="pyimagesearch/nmt-transformer",
+	use_auth_token=os.environ.get("token")
+)
+reloaded = tf.saved_model.load("nmt-transformer/translator")
+
+title="Neural Machine Translation with Transformer"
+description="The model used here is a POC and not SOTA on NMT."
+
+examples=["how are you?", "good morning.", "how is your health?"]
+
+def get_translation(sentence):
+	result = reloaded(
+		sentence=tf.constant([sentence])
+	).numpy()[0].decode()
+	return result
+
+nmt_space = gr.Interface(
+	fn=get_translation,
+	inputs=gr.Textbox(label="English Sentence"),
+	outputs=gr.Textbox(label="French Sentence"),
+	title=title,
+	description=description,
+	examples=examples,
+)
+
+nmt_space.launch()

requirements.txt

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+tensorflow
+tensorflow-text
+huggingface_hub