Create app.py

app.py

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+import gradio as gr
+from gensim.models import FastText
+
+# Load your trained FastText model
+model_path = "fasttext_cs.model"
+ft_model = FastText.load(model_path)
+
+def get_nearest(word):
+    if word in ft_model.wv:
+        return ft_model.wv.most_similar(word, topn=10)
+    else:
+        return f"Word '{word}' not found in vocabulary."
+
+# Define a Gradio interface
+iface = gr.Interface(
+    fn=get_nearest,
+    inputs="text",
+    outputs="json",
+    title="FastText Nearest Neighbors",
+    description="Enter a word from the cs_query vocabulary to see its top 10 similar words."
+)
+
+iface.launch()