mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
83 lines
2.4 KiB
Python
83 lines
2.4 KiB
Python
import requests
|
|
from urllib.parse import urlparse, parse_qs
|
|
|
|
|
|
def get_next_url(response):
|
|
"""
|
|
Function to get 'next' url from Link header
|
|
:param response: response from requests
|
|
:return: next url or None
|
|
"""
|
|
if 'link' not in response.headers:
|
|
return None
|
|
headers = response.headers
|
|
|
|
next_url = headers['Link']
|
|
print(next_url)
|
|
start_index = next_url.find("<")
|
|
end_index = next_url.find(">")
|
|
|
|
return next_url[1:end_index]
|
|
|
|
def get_models(url):
|
|
"""
|
|
Function to retrieve all models from paginated endpoint
|
|
:param url: base url to make GET request
|
|
:return: list of all models
|
|
"""
|
|
models = []
|
|
while url:
|
|
response = requests.get(url)
|
|
if response.status_code != 200:
|
|
print(f"Failed to retrieve data. Status code: {response.status_code}")
|
|
return models
|
|
payload = response.json()
|
|
url = get_next_url(response)
|
|
models.extend(payload)
|
|
return models
|
|
|
|
def get_cleaned_models(models):
|
|
"""
|
|
Function to clean retrieved models
|
|
:param models: list of retrieved models
|
|
:return: list of cleaned models
|
|
"""
|
|
cleaned_models = []
|
|
for model in models:
|
|
cleaned_models.append(model["id"])
|
|
return cleaned_models
|
|
|
|
# Get text-generation models
|
|
url = 'https://huggingface.co/api/models?filter=text-generation-inference'
|
|
text_generation_models = get_models(url)
|
|
cleaned_text_generation_models = get_cleaned_models(text_generation_models)
|
|
|
|
print(cleaned_text_generation_models)
|
|
|
|
|
|
# Get conversational models
|
|
url = 'https://huggingface.co/api/models?filter=conversational'
|
|
conversational_models = get_models(url)
|
|
cleaned_conversational_models = get_cleaned_models(conversational_models)
|
|
|
|
print(cleaned_conversational_models)
|
|
|
|
|
|
def write_to_txt(cleaned_models, filename):
|
|
"""
|
|
Function to write the contents of a list to a text file
|
|
:param cleaned_models: list of cleaned models
|
|
:param filename: name of the text file
|
|
"""
|
|
with open(filename, 'w') as f:
|
|
for item in cleaned_models:
|
|
f.write("%s\n" % item)
|
|
|
|
|
|
# Write contents of cleaned_text_generation_models to text_generation_models.txt
|
|
write_to_txt(cleaned_text_generation_models, 'huggingface_llms_metadata/hf_text_generation_models.txt')
|
|
|
|
# Write contents of cleaned_conversational_models to conversational_models.txt
|
|
write_to_txt(cleaned_conversational_models, 'huggingface_llms_metadata/hf_conversational_models.txt')
|
|
|
|
|