Create app.py

app.py

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+import gradio as gr
+from nltk import ngrams
+from nltk.tokenize import word_tokenize
+
+def generate_ngrams(sentence, n):
+    tokens = word_tokenize(sentence)
+    n_grams = list(ngrams(tokens, n))
+    res=[' '.join(gram) for gram in n_grams]
+    print(res)
+    return res
+iface = gr.Interface(
+    fn=generate_ngrams,
+    inputs=["text", gr.Number(precision=0)],
+    outputs="text",
+    live=True,
+    title="Classifier",
+    description="Enter a news article text to classify as 'Fake' or 'True'."
+)
+iface.launch()