Upload assignment.py

assignment.py

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+import streamlit as st
+from transformers import pipeline
+
+# Set page config
+st.set_page_config(page_title="Sentiment Analyzer", layout="centered")
+
+# Header
+st.markdown("<h1 style='text-align: center; color: #4CAF50;'>🧠 Sentiment Analyzer App</h1>", unsafe_allow_html=True)
+st.markdown("<p style='text-align: center;'>Using Hugging Face Transformers with Streamlit</p>", unsafe_allow_html=True)
+
+# Input area
+st.write("### Enter your text below:")
+text = st.text_area("")
+
+# Button to run analysis
+if st.button("🔍 Analyze Sentiment"):
+    if text.strip() == "":
+        st.warning("Please enter some text!")
+    else:
+        # Load model
+        classifier = pipeline("sentiment-analysis")
+        result = classifier(text)[0]
+        label = result["label"]
+        score = result["score"]
+
+        # Output result
+        st.success(f"**Sentiment:** {label}")
+        st.info(f"**Confidence Score:** {score:.2f}")
+
+        # Display bar chart
+        st.write("### Sentiment Analysis Results")
+        st.bar_chart({"Sentiment": [label], "Score": [score]})
+