<｜begin▁of▁sentence｜>### Instruction:
As a Sales Representative, you have a network graph G that represents all the potential clients you can pitch your products to. In this graph, each node represents a client and each edge indicates the relationship or connection between different clients. We have a list, named edges_to_hide, which includes certain connections that we need to avoid for strategic purposes. 

Can you apply a function called hide_edges on this graph, which effectively removes the connections present in the edges_to_hide list, thereby altering your pitching strategy? After you've made these adjustments, could you provide the updated structure of this client network in a JSON format? In this JSON format, each client (node) should be represented with an 'id' and 'label' while each remaining connection (edge) should be represented by its 'source', 'target' and a 'label'. 

This question relates to the application of the hide_edges function on your potential client network represented in the GML file 'client_network.gml'. Your objective here is to rearrange your sales strategy by significantly avoiding pitching to certain connected groups of potential clients.
### Response:
import networkx as nx

# Define a function to hide edges and generate the graph structure in JSON format
def hide_edges(G, edges_to_hide):
    H = G.copy()
    H.remove_edges_from(edges_to_hide)
    graph_json = {
        'graph nodes': [{'id': node, 'label': str(node)} for node in H.nodes()],
        'graph edges': [{'source': u, 'target': v, 'label': str(u)+'-'+str(v)} for u, v in H.edges()]
    }
    return graph_json

# Example usage
G = nx.karate_club_graph()
edges_to_hide = [(0, 1), (1, 2)]
graph_json = hide_edges(G, edges_to_hide)
print(graph_json)
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