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Update app.py
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app.py
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@@ -2,34 +2,50 @@ import spaces
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import gradio as gr
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from wtpsplit import SaT
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import json
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# Initialize the SaT model
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# We use 'sat-3l-sm' as it's recommended for general sentence segmentation tasks
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# and offers a good balance between speed and performance
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sat = SaT("sat-3l-sm")
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sat.half().to("cuda")
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@spaces.GPU(duration=59)
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def segment_text(input_text):
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sentences = sat.split(input_text)
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return json_output
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# Create the Gradio interface
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iface = gr.Interface(
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fn=segment_text,
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inputs=
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outputs=gr.JSON(label="Segmented Text (JSON)"),
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title="Text Segmentation with SaT",
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description="This app uses the SaT (Segment any Text) model to split input text into sentences and return the result as JSON. All credits to the respective author(s). Github: https://github.com/segment-any-text/wtpsplit/tree/main",
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examples=[
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["This is a test This is another test."],
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["Hello this is a test But this is different now Now the next one starts looool"],
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["The quick brown fox jumps over the lazy dog It was the best of times, it was the worst of times"],
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]
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)
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import gradio as gr
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from wtpsplit import SaT
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import json
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import zipfile
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import io
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# Initialize the SaT model
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sat = SaT("sat-3l-sm")
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sat.half().to("cuda")
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@spaces.GPU(duration=59)
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def segment_text(input_text, zip_file):
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results = {}
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if input_text:
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# Process single text input
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sentences = sat.split(input_text)
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results["input_text"] = {"segments": sentences}
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elif zip_file is not None:
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# Process zip file
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with zipfile.ZipFile(io.BytesIO(zip_file), 'r') as zip_ref:
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for file_name in zip_ref.namelist():
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if file_name.endswith('.txt'):
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with zip_ref.open(file_name) as file:
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content = file.read().decode('utf-8')
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sentences = sat.split(content)
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results[file_name] = {"segments": sentences}
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# Create a JSON object with the results
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json_output = json.dumps(results, indent=2)
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return json_output
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# Create the Gradio interface
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iface = gr.Interface(
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fn=segment_text,
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inputs=[
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gr.Textbox(lines=5, label="Input Text (Optional)"),
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gr.File(label="Upload ZIP file (Optional)", file_types=[".zip"])
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],
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outputs=gr.JSON(label="Segmented Text (JSON)"),
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title="Text Segmentation with SaT",
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description="This app uses the SaT (Segment any Text) model to split input text into sentences and return the result as JSON. You can input text directly or upload a ZIP file containing multiple .txt files. All credits to the respective author(s). Github: https://github.com/segment-any-text/wtpsplit/tree/main",
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examples=[
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["This is a test This is another test.", None],
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["Hello this is a test But this is different now Now the next one starts looool", None],
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["The quick brown fox jumps over the lazy dog It was the best of times, it was the worst of times", None],
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]
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)
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