main.py

main.py

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+import pandas as pd
+import chardet
+import ftfy
+
+def read_csv_with_encoding(file_path):
+    # Detect the file encoding
+    with open(file_path, 'rb') as f:
+        result = chardet.detect(f.read())
+        encoding = result['encoding']
+
+    # Try reading the file with the detected encoding
+    try:
+        df = pd.read_csv(file_path, encoding=encoding)
+        return df
+    except UnicodeDecodeError:
+        # If the detected encoding fails, try other encodings
+        for enc in ['utf-8', 'latin-1', 'cp1252']:
+            try:
+                df = pd.read_csv(file_path, encoding=enc, errors='replace')
+                return df
+            except UnicodeDecodeError:
+                pass
+
+    # If all encodings fail, try fixing the text
+    with open(file_path, 'rb') as f:
+        text = f.read().decode('latin-1', errors='replace')
+        fixed_text = ftfy.fix_text(text)
+
+    try:
+        df = pd.read_csv(io.StringIO(fixed_text), encoding='utf-8')
+        return df
+    except UnicodeDecodeError:
+        print(f"Failed to read {file_path} after trying multiple encodings and text fixes.")
+        return None
+
+# Example usage
+file_path = 'path/to/your/csv/file.csv'
+df = read_csv_with_encoding(file_path)
+if df is not None:
+    print(df.head())
+else:
+    print("Failed to read the CSV file.")