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app.py

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+import gradio as gr
+from wtpsplit import SaT
+
+# Initialize the SaT model
+# We use 'sat-3l-sm' as it's recommended for general sentence segmentation tasks
+# and offers a good balance between speed and performance
+sat = SaT("sat-3l-sm")
+
+def segment_text(input_text):
+    # Use the SaT model to split the input text into sentences
+    sentences = sat.split(input_text)
+    
+    # Join the sentences with newlines for better readability in the output
+    return "\n".join(sentences)
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=segment_text,
+    inputs=gr.Textbox(lines=5, label="Input Text"),
+    outputs=gr.Textbox(lines=10, label="Segmented Text"),
+    title="Text Segmentation with SaT",
+    description="This app uses the SaT (Segment any Text) model to split input text into sentences.",
+    examples=[
+        ["This is a test This is another test."],
+        ["Hello this is a test But this is different now Now the next one starts looool"],
+        ["The quick brown fox jumps over the lazy dog It was the best of times, it was the worst of times"],
+    ]
+)
+
+# Launch the app
+iface.launch()

requirements.txt

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+wtpsplit