code: def parse_csv_input(csv_input, schema: Schema = None):
      """
      :param csv_input: A CSV-formatted string representation of a Pandas DataFrame, or a stream
                        containing such a string representation.
      :param schema: Optional schema specification to be used during parsing.
      """
      import pandas as pd
  
      try:
          if schema is None:
              return pd.read_csv(csv_input)
          else:
              dtypes = dict(
                  zip(schema.input_names(), schema.pandas_types())
              )
              return pd.read_csv(csv_input, dtype=dtypes)
      except Exception as e:
          _handle_serving_error(
              error_message=(
                  "Failed to parse input as a Pandas DataFrame. Ensure that the input is"
                  " a valid CSV-formatted Pandas DataFrame produced using the"
                  f" `pandas.DataFrame.to_csv()` method. Error: '{e}'"
              ),
              error_code=BAD_REQUEST,
          )
  
imports: import inspect
  import json
  import logging
  import os
  import shlex
  import sys
  import traceback
  from typing import Dict, NamedTuple, Optional, Tuple
  import flask
  from mlflow.environment_variables import MLFLOW_SCORING_SERVER_REQUEST_TIMEOUT
  from mlflow.exceptions import MlflowException
  from mlflow.pyfunc.model import _log_warning_if_params_not_in_predict_signature
  from mlflow.types import ParamSchema, Schema
  from mlflow.utils import reraise
  from mlflow.utils.annotations import deprecated
  from mlflow.utils.file_utils import path_to_local_file_uri
  from mlflow.utils.os import is_windows
  from mlflow.utils.proto_json_utils import MlflowInvalidInputException, NumpyEncoder, _get_jsonable_obj, dataframe_from_parsed_json, parse_tf_serving_input
  from mlflow.version import VERSION
  from io import StringIO
  from mlflow.protos.databricks_pb2 import BAD_REQUEST, INVALID_PARAMETER_VALUE
  from mlflow.server.handlers import catch_mlflow_exception
label_desc: Use image node_id 6 for calling a global function with example usage: parse_csv_input(csv_input, schema) and returns: pd, pd