Create app.py

app.py

@@ -0,0 +1,38 @@
+import streamlit as st
+import pandas as pd
+import ftfy
+
+def fix_complex_encoding(text):
+    try:
+        # First, try to fix text using ftfy
+        fixed_text = ftfy.fix_text(text)
+        # Additional encoding and decoding steps to handle more cases
+        fixed_text = (fixed_text.encode('latin1', errors='ignore')
+                                  .decode('utf-8', errors='ignore'))
+        return fixed_text
+    except Exception as e:
+        return text
+
+def process_dataframe(df):
+    return df.applymap(fix_complex_encoding)
+
+st.title("CSV Encoding Fixer")
+
+uploaded_file = st.file_uploader("Upload a CSV file", type="csv")
+
+if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file, dtype=str)
+    st.write("Original Data:")
+    st.dataframe(df)
+
+    processed_df = process_dataframe(df)
+    st.write("Processed Data:")
+    st.dataframe(processed_df)
+
+    output_csv = processed_df.to_csv(index=False).encode('utf-8')
+    st.download_button(
+        label="Download Processed CSV",
+        data=output_csv,
+        file_name='processed_file.csv',
+        mime='text/csv'
+    )