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app.py

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+import gradio as gr
+import typing
+from NDETCStemmer import NDETCStemmer
+
+num_text_process_limit = 100
+markdown_top_info = """
+# [NDETCStemmer](https://huggingface.co/kaenova/NDETCStemmer) spaces
+Easily use the model with huggingface 🤗 and gradio interface!  
+Call by API is also available. Check the bottom of the page on 'Use via API 🚀'
+"""
+
+stemmer = NDETCStemmer()
+
+
+def process_single_text(text_input: "str"):
+    # Split input
+    if text_input.strip() == "":
+        return ""
+    results = stemmer.stem(text_input)
+    return results
+
+with gr.Blocks() as demo:
+    gr.Markdown(markdown_top_info)
+
+    # Single Input
+    with gr.Column():
+        input_text = gr.Textbox(
+            label="Input Text",
+            info=f"Text to stem.",
+            lines=5,
+            value="""bibirnya memerah tangannya jadi selengket madu dan boleh saya memerah lembu ini""",
+        )
+        single_text_button = gr.Button("Stem!")
+        results_text = gr.Textbox(
+            label="Result",
+            interactive=False,
+        )
+        single_text_button.click(
+            process_single_text,
+            inputs=[input_text],
+            outputs=[results_text],
+            api_name="process_single_text",
+        )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio==3.26.0
+fastapi>0.95
+NDETCStemmer-kaenova