corrected bug

def find_scene_scores(scene, weight_name):

    graph, end_nodes = create_graph(scene)

    scene_min_score = 0

    scene_max_score = 0

    scene_min_score = 10000

    scene_max_score = -1000

    #scene_min_path = []

    #scene_max_path = []

        #Iterate over all paths

        for path in paths:

            path_weight = nx.path_weight(graph,path,weight=weight_name)

            # if the score of the current path is lower than the scene_min_score, we replace scene_min_score by the weight of the current path

    return text.lower().replace(" ", "_").replace("é", "e") \

        .replace("ê", "e").replace("è", "e").replace("à", "a")

def show_graph(graph):

def show_graph(graph, attribut):

    pos = nx.spring_layout(graph, seed=7)

    nx.draw_networkx_nodes(graph, pos, node_size=700)

    nx.draw_networkx_edges(graph, pos, edgelist=graph.edges(data=True), width=6)

    nx.draw_networkx_labels(graph, pos, font_size=20, font_family="sans-serif")

    edge_labels = nx.get_edge_attributes(graph, "score")

    edge_labels = nx.get_edge_attributes(graph, attribut)

    nx.draw_networkx_edge_labels(graph, pos, edge_labels)

    ax = plt.gca()

    ax.margins(0.08)

    with open("Chapters.json", 'r', encoding="utf-8") as j:

        contents = json.loads(j.read())

        scene = contents["Chapters"][0]["Scenes"][0]

        min_score, max_score = find_scene_scores(scene)

        scene = contents["Chapters"][0]["Scenes"][3]

        #min_authenticiy, max_authenticiy = find_scene_scores(scene,  'authenticiy')

        min_respect, max_respect = find_scene_scores(scene,  'respect')

        #min_compassion, max_compassion = find_scene_scores(scene,  'compassion')

        #min_hope, max_hope = find_scene_scores(scene,  'hope')

        #min_empathy, max_empathy = find_scene_scores(scene,  'empathy')

        print("Scores for "+scene["Title"])          

        print(f"Min: {min_score}")  

        print(f"Max: {max_score}")

        print("min:"+str(min_respect))

        print("max:"+ str(max_respect))

        graph, end_nodes = create_graph(scene)

        show_graph(graph,"respect")