major update

app.py

@@ -1,30 +1,48 @@
 import streamlit as st
 from transformers import pipeline
 
-pipe=pipeline('sentiment-analysis')
-# Set the title
-st.title("Sentiment Analysis")
+pipe = pipeline('sentiment-analysis')
 
-# Using 'form' to group input elements together
-with st.form("sentiment Analysis"):
+# Set the title and add introductory text
+st.title("Sentiment Analysis App")
+st.write("This simple app analyzes the sentiment of your text.")
+
+# Use 'form' to group input elements together
+with st.form("sentiment_form"):
     # Input for text to analyze sentiment
     text = st.text_area("Enter text for sentiment analysis:")
 
-    # Add a button to analyze sentiment
+    # Add a button with a label
     submit_button = st.form_submit_button("Analyze Sentiment")
 
 # Check if the form was submitted
 if text and submit_button:
+    # Analyze sentiment
     out = pipe(text)
     result = out[0]  # Assuming you want the first result if multiple are returned
     sentiment = result["label"]
     score = round(result["score"], 2)  # Round the score to two decimal places
-    st.write(f"Sentiment: {sentiment}")
-    st.write(f"Sentiment Score: {score}")
-
-
-
 
-        
-# else:
-#     st.error("Error: Something went wrong. Please try again...")
+    # Display sentiment analysis results
+    st.header("Sentiment Analysis Result")
+    st.write(f"**Sentiment**: {sentiment}")
+    st.write(f"**Sentiment Score**: {score}")
+
+# Add a section for instructions on how to use the app
+st.header("How to Use")
+st.write("1. Enter text in the text area above.")
+st.write("2. Click the 'Analyze Sentiment' button to analyze the sentiment.")
+st.write("3. The sentiment label and score will be displayed below.")
+
+# Add a section with information about the sentiment analysis model
+st.header("About the Model")
+st.write("The sentiment analysis is performed using the Hugging Face Transformers library.")
+st.write("The model used is 'nlptown/bert-base-multilingual-uncased-sentiment'.")
+
+# Footer with a link to  LinkedIn profile
+st.header("Connect with Me on LinkedIn")
+st.write("Feel free to connect with me on LinkedIn for any inquiries or collaborations.")
+st.markdown("[LinkedIn Profile](https://www.linkedin.com/in/iam-manoj/)")
+
+# Footer with additional information or links
+st.footer("For more information, visit the [Hugging Face Transformers website](https://huggingface.co/transformers/).")