Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+
+
+from typing import List
+
+from punctuators.models import SBDModelONNX
+
+# Instantiate this model
+# This will download the ONNX and SPE models. To clean up, delete this model from your HF cache directory.
+m = SBDModelONNX.from_pretrained("sbd_multi_lang")
+
+def sentence_boundary_detection(name):
+    # Run inference
+    results: List[List[str]] = m.infer(input_texts)
+    return "\n".join(results), len(results)
+
+
+# Gradio interface
+iface = gr.Interface(
+    fn=sentence_boundary_detection,
+    inputs=gr.Textbox(label="Input Text", lines=10, maximum_lines = 200,  placeholder="Enter text here..."),
+    outputs=[
+        gr.Textbox(label="Sentences", lines=10, maximum_lines = 200, placeholder="Sentences will appear here..."),
+        gr.Number(label="Number of Sentences")
+    ],
+    title="Sentence Boundary Detection",
+    description="Enter text to detect sentence boundaries and count the number of sentences."
+)
+
+# Launch the Gradio app
+iface.launch()