Create app.py

app.py

@@ -0,0 +1,48 @@
+import streamlit as st
+import pandas as pd
+from textblob import TextBlob
+
+
+def load_data(csv_file):
+    df = pd.read_csv(csv_file)
+    return df
+
+
+def convert_to_rating(sentiment):
+    if sentiment > 0:
+        return 5
+    elif sentiment == 0:
+        return 3
+    else:
+        return 1
+
+
+def main():
+    st.title("Review to Rating Converter")
+
+    # Upload CSV file
+    uploaded_file = st.file_uploader("Upload a CSV file", type="csv")
+
+    if uploaded_file is not None:
+        # Load the CSV file
+        df = load_data(uploaded_file)
+
+        # Perform sentiment analysis and convert to ratings
+        df['Sentiment'] = df['Review'].apply(lambda x: TextBlob(x).sentiment.polarity)
+        df['Rating'] = df['Sentiment'].apply(convert_to_rating)
+
+        # Display the converted ratings
+        st.subheader("Converted Ratings:")
+        st.dataframe(df[['Review', 'Rating']])
+
+        # Download the converted ratings as CSV
+        st.download_button(
+            label="Download Converted Ratings",
+            data=df[['Review', 'Rating']].to_csv(index=False),
+            file_name="converted_ratings.csv",
+            mime="text/csv"
+        )
+
+
+if __name__ == '__main__':
+    main()