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# Import necessary libraries
import gradio as gr
import sys
from huggingface_hub import ModelCard, HfApi
import requests
import networkx as nx
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
from collections import defaultdict
from networkx.drawing.nx_pydot import graphviz_layout
from io import BytesIO
from PIL import Image
# Define the model ID
MODEL_ID = "mlabonne/NeuralBeagle14-7B"
# Define a class to cache model cards
class CachedModelCard(ModelCard):
_cache = {}
@classmethod
def load(cls, model_id: str, **kwargs) -> "ModelCard":
if model_id not in cls._cache:
try:
cls._cache[model_id] = super().load(model_id, **kwargs)
except:
cls._cache[model_id] = None
return cls._cache[model_id]
# Function to get model names from a YAML file
def get_model_names_from_yaml(url):
model_tags = []
response = requests.get(url)
if response.status_code == 200:
model_tags.extend([item for item in response.content if '/' in str(item)])
return model_tags
# Function to get the color of the model based on its license
def get_license_color(model):
try:
card = CachedModelCard.load(model)
license = card.data.to_dict()['license'].lower()
permissive_licenses = ['mit', 'bsd', 'apache-2.0', 'openrail']
if any(perm_license in license for perm_license in permissive_licenses):
return 'lightgreen'
else:
return 'lightcoral'
except Exception as e:
return 'lightgray'
# Function to find model names in the family tree
def get_model_names(model, genealogy, found_models=None, visited_models=None):
if found_models is None:
found_models = set()
if visited_models is None:
visited_models = set()
if model in visited_models:
return found_models
visited_models.add(model)
try:
card = CachedModelCard.load(model)
card_dict = card.data.to_dict()
license = card_dict['license']
model_tags = []
if 'base_model' in card_dict:
model_tags = card_dict['base_model']
if 'tags' in card_dict and not model_tags:
tags = card_dict['tags']
model_tags = [model_name for model_name in tags if '/' in model_name]
if not model_tags:
model_tags.extend(get_model_names_from_yaml(f"https://huggingface.co/{model}/blob/main/merge.yml"))
if not model_tags:
model_tags.extend(get_model_names_from_yaml(f"https://huggingface.co/{model}/blob/main/mergekit_config.yml"))
if not isinstance(model_tags, list):
model_tags = [model_tags] if model_tags else []
found_models.add(model)
for model_tag in model_tags:
genealogy[model_tag].append(model)
get_model_names(model_tag, genealogy, found_models, visited_models)
except Exception as e:
pass
return found_models
# Function to create the family tree
def create_family_tree(start_model):
genealogy = defaultdict(list)
get_model_names(start_model, genealogy)
G = nx.DiGraph()
for parent, children in genealogy.items():
for child in children:
G.add_edge(parent, child)
max_depth = nx.dag_longest_path_length(G) + 1
max_width = max_width_of_tree(G) + 1
height = max(8, 1.6 * max_depth)
width = max(8, 6 * max_width)
plt.figure(figsize=(width, height))
pos = graphviz_layout(G, prog="dot")
node_colors = [get_license_color(node) for node in G.nodes()]
clear_output()
labels = {node: node.replace("/", "\n") for node in G.nodes()}
nx.draw(G, pos, labels=labels, with_labels=True, node_color=node_colors, font_size=12, node_size=8_000, edge_color='black')
legend_elements = [
Patch(facecolor='lightgreen', label='Permissive'),
Patch(facecolor='lightcoral', label='Noncommercial'),
Patch(facecolor='lightgray', label='Unknown')
]
plt.legend(handles=legend_elements, loc='upper left')
plt.title(f"{start_model}'s Family Tree", fontsize=20)
plt.show()
create_family_tree(MODEL_ID)