koyamba4

app.py

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+import gensim
+import gensim.models
+from gensim.models import KeyedVectors
+import gensim.downloader as api
+import fasttext
+import gradio as gr
+
+
+model = fasttext.load_model("fasttext_model_ina.bin")
+
+# Test Model Locally
+
+#print(model.get_nearest_neighbors("ndalama"))  # Example Chichewa word
+
+
+# Define function for Gradio
+def find_similar_words(wordz, top_n=10):
+	words=model.get_nearest_neighbors(wordz)
+	try:
+		text=''
+		for word in words:
+			text= text +"\n" +str(word[1]) + "   Similarity score : "+ str(word[0])
+
+		return text
+	except KeyError:
+		return f"'{word}' not found in the vocabulary!"
+
+# Gradio UI
+demo = gr.Interface(
+    fn=find_similar_words,
+    inputs=gr.Textbox(label="Enter a Word"),
+    outputs="text",
+    title="Chichewa Word Embeddings Explorer",
+    description="Find similar words using a pre-trained word embedding model.",
+)
+
+# Launch for local testing
+demo.launch()