Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from flair.data import Sentence
+from flair.models import SequenceTagger
+
+# Load your POS tagger model from Hugging Face
+model_path = "onurkeles/hamshetsnag-pos-tagger"
+pos_tagger = SequenceTagger.load(model_path)
+
+def tag_pos(text):
+    sentence = Sentence(text)
+    pos_tagger.predict(sentence)
+    return sentence.to_tagged_string()
+
+# Define Gradio interface for POS tagging
+gradio_app = gr.Interface(
+    fn=tag_pos,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence here...", label="Input Sentence"),
+    outputs=gr.Textbox(label="Tagged Sentence"),
+    title="POS Tagging for Hamshetsnag",
+    description="This app tags parts of speech in input sentences. Cite Keleş & Günay (2024) lol."
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()