Create app.py

app.py

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+import gradio as gr
+
+import spacy
+nlp = spacy.load('en_core_web_sm')
+
+  
+def count_verbs(doc):
+  verbs = 0
+  for token in doc:
+    if token.pos_ == "VERB":
+      verbs += 1
+  return verbs
+
+def greet(sent):
+  doc = nlp(sent)
+  nouns = 0
+  for token in doc:
+    if token.pos_ == "NOUN":
+      nouns += 1
+  verbs = count_verbs(doc)
+  length = len(sent.split())
+  return (f"Your sentence has {length} word(s).\n Your sentence has {nouns} noun(s).\n Your sentence has {verbs} verb(s).")
+
+
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text", examples = [
+    ["The Moon's orbit around Earth takes a long time."],
+    ["The smooth Borealis basin in the Northern Hemisphere covers 40%."]])
+iface.launch(debug=True)