Fix ValidationError

✅ Solution

ValidationError in pydantic usually arises when the input data doesn't conform to the schema defined in your pydantic model, such as incorrect data types or missing required fields. Resolve it by carefully checking the types, formats, and presence of your input data against the model's field definitions, and handle potential type coercion or provide default values where appropriate. Use `try...except ValidationError` blocks to catch and gracefully handle validation issues within your code.