added project

requirements.txt

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+streamlit==1.14.0
+pandas==1.5.3
+matplotlib==3.6.2
+textblob==0.15.3

streamlit_code.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+from textblob import TextBlob
+
+def load_data(uploaded_file):
+    df = pd.read_excel(uploaded_file)
+    return df
+
+def analyze_sentiment(text):
+    polarity = TextBlob(str(text)).sentiment.polarity
+    if polarity >= 0.6:
+        return "Very Positive"
+    elif polarity >= 0.2:
+        return "Positive"
+    elif polarity > -0.2:
+        return "Neutral"
+    elif polarity > -0.6:
+        return "Negative"
+    else:
+        return "Very Negative"
+
+st.title("Sentiment Analysis with Pie Chart")
+
+uploaded_file = st.file_uploader("Upload an Excel file with text data", type=["xlsx"])
+
+if uploaded_file is not None:
+    df = load_data(uploaded_file)
+    if "text" not in df.columns:
+        st.error("Error: The file must contain a 'text' column.")
+    else:
+        df["Sentiment"] = df["text"].apply(analyze_sentiment)
+        
+        st.write("Here is a preview of the data:")
+        st.write(df.head())
+        
+        sentiment_counts = df["Sentiment"].value_counts()
+        
+        fig, ax = plt.subplots()
+        ax.pie(sentiment_counts, labels=sentiment_counts.index, autopct="%1.1f%%", colors=["green", "lightgreen", "gray", "orange", "red"])
+        ax.set_title("Sentiment Distribution")
+        st.pyplot(fig)
+        
+        csv = df.to_csv(index=False)
+        st.download_button("Download Sentiment Data", csv, "sentiment_results.csv", "text/csv")
+else:
+    st.write("Please upload an Excel file to get started.")