Create app.py

added app.py file with code

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Initialize the POS tagger
+pos_tagger = pipeline(
+    model="vblagoje/bert-english-uncased-finetuned-pos",
+    aggregation_strategy="simple",
+)
+
+# Function to get color for each POS tag
+def get_color(pos_tag):
+    colors = {
+        "PRON": "blue",
+        "VERB": "green",
+        "ADP": "red",
+        "PROPN": "orange",
+        # Add more POS tags and colors as needed
+    }
+    return colors.get(pos_tag, "grey")  # Default color
+
+# Streamlit app
+st.title("Part-of-Speech Highlighter")
+
+# Text input
+text = st.text_area("Enter your text here:", "I am an artist and I live in Dublin")
+
+# Process text and highlight POS
+if text:
+    pos_result = pos_tagger(text)
+    highlighted_text = ""
+    for word_info in pos_result:
+        color = get_color(word_info["entity_group"])
+        highlighted_text += f'<span style="color:{color};">{word_info["word"]}</span> '
+
+    st.markdown(highlighted_text, unsafe_allow_html=True)