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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def geoframe(self, *args, **kwargs):
 """Return a Geo dataframe"""


        from geopandas import GeoDataFrame
        import geopandas as gpd
        from shapely.geometry.polygon import BaseGeometry
        from shapely.wkt import loads

        gdf = None
        try:
            gdf = self.resolved_url.geoframe(*args, **kwargs)
        except AttributeError:
            pass

        if gdf is None:
            try:
                gdf = self.resolved_url.geo_generator.geoframe(*args, **kwargs)
            except AttributeError:
                pass

        if gdf is None:
            try:
                gdf = self.row_generator.geoframe(*args, **kwargs)
            except AttributeError:
                pass

        if gdf is None:
            try:

                gdf = GeoDataFrame(self.dataframe(*args, **kwargs))

                first = next(gdf.iterrows())[1]['geometry']

                if isinstance(first, str):
                    # We have a GeoDataframe, but the geometry column is still strings, so
                    # it must be converted
                    shapes = [loads(row['geometry']) for i, row in gdf.iterrows()]

                elif not isinstance(first, BaseGeometry):
                    # If we are reading a metatab package, the geometry column's type should be
                    # 'geometry' which will give the geometry values class type of
                    # rowpipe.valuetype.geo.ShapeValue. However, there are other
                    # types of objects that have a 'shape' property.

                    shapes = [row['geometry'].shape for i, row in gdf.iterrows()]

                else:
                    shapes = gdf['geometry']

                gdf['geometry'] = gpd.GeoSeries(shapes)
                gdf.set_geometry('geometry')

                # Wild guess. This case should be most often for Metatab processed geo files,
                # which are all 4326
                if gdf.crs is None:
                    gdf.crs = {'init': 'epsg:4326'}


            except KeyError as e:
                raise ResourceError("Failed to create GeoDataFrame for resource '{}': No geometry column".format(self.name))
            except (KeyError,TypeError) as e:
                raise ResourceError("Failed to create GeoDataFrame for resource '{}': {}".format(self.name, str(e)))

        assert gdf.crs is not None
        return gdf