Update app.py

app.py

@@ -1,4 +1,30 @@
-transformers
-torch
-spacy
+# app.py
 
+import gradio as gr
+import spacy
+from transformers import pipeline
+
+# Load the spaCy model for POS tagging
+nlp = spacy.load("en_core_web_sm")
+
+def identify_nouns_verbs(text):
+    # Process the text with spaCy
+    doc = nlp(text)
+    
+    # Extract nouns and verbs
+    nouns = [token.text for token in doc if token.pos_ == "NOUN"]
+    verbs = [token.text for token in doc if token.pos_ == "VERB"]
+    
+    return {"Nouns": nouns, "Verbs": verbs}
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=identify_nouns_verbs,
+    inputs=gr.inputs.Textbox(lines=10, placeholder="Enter your text here..."),
+    outputs=gr.outputs.JSON(),
+    title="Noun and Verb Identifier",
+    description="Enter a document or text to identify the nouns and verbs."
+)
+
+if __name__ == "__main__":
+    iface.launch()