Spaces:
Runtime error
Runtime error
File size: 9,864 Bytes
7a664fd dcd4eae 7a664fd 25f2efc 7a664fd dcd4eae 7a664fd c7e10bf 7a664fd c7e10bf 7a664fd c7e10bf 7a664fd dcd4eae 7a664fd dcd4eae 7a664fd dcd4eae 7a664fd dcd4eae 7a664fd dcd4eae 7a664fd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 |
import streamlit as st
from transformers import AutoTokenizer
import json
import tempfile
import os
import uuid
import copy
st.set_page_config(layout="wide")
def sanitize_jinja2(jinja_lines):
one_liner_jinja = ""
for line in jinja_lines:
one_liner_jinja += line.lstrip(" ").rstrip("\n")
return one_liner_jinja
@st.cache_resource
def get_existing_templates():
return [None] + os.listdir("./templates")
# Initialization
if 'tokenizer_json' not in st.session_state:
st.session_state['tokenizer_json'] = None
if 'tokenizer' not in st.session_state:
st.session_state['tokenizer'] = None
if 'repo_normalized_name' not in st.session_state:
st.session_state['repo_normalized_name'] = None
if 'repo_id' not in st.session_state:
st.session_state['repo_id'] = None
if 'input_jinja_template' not in st.session_state:
st.session_state['input_jinja_template'] = ""
if 'uuid' not in st.session_state:
st.session_state['uuid'] = uuid.uuid4()
os.makedirs(f"./tmp/{st.session_state['uuid']}")
if 'successful_template' not in st.session_state:
st.session_state['successful_template'] = ''
if 'generated_prompt_w_add_generation_prompt' not in st.session_state:
st.session_state['generated_prompt_w_add_generation_prompt'] = ''
if 'generated_prompt_wo_add_generation_prompt' not in st.session_state:
st.session_state['generated_prompt_wo_add_generation_prompt'] = ''
if not os.path.exists("./tmp"):
os.makedirs("./tmp")
title_description = """
Chat Template Generation: Make Chat Easier with Huggingface Tokenizer
"""
st.title(title_description)
st.markdown('This streamlit app is to serve as an easier way to check and push the chat template to your/exisiting huggingface repo')
list_of_templates = get_existing_templates()
with st.expander("Current predefined templates"):
for model in list_of_templates[1:]:
st.markdown(f"- {model}")
st.info('More templates will be predefined for easier setup of chat template.', icon="ℹ️")
st.divider()
# custom_repo_tab, prebuilt_template_tab = st.tabs(["Specify Custom Repository Path", "Select Prebuilt Template"])
hf_model_repo_name = st.text_input("Hugging Face Model Repository To Update", value="tiiuae/falcon-7b", max_chars=None, key=None, type="default",
help=None, autocomplete=None, label_visibility="visible")
gen_button = st.button("Get Tokenizer Config")
if gen_button:
with st.spinner(text="In progress...", cache=False):
st.session_state['repo_id'] = hf_model_repo_name
st.session_state['tokenizer'] = AutoTokenizer.from_pretrained(hf_model_repo_name)
st.session_state['repo_normalized_name'] = hf_model_repo_name.replace("/", "_")
st.session_state['tokenizer'].save_pretrained(f"./tmp/{st.session_state['uuid']}_{hf_model_repo_name}")
st.session_state['tokenizer_json'] = f"./tmp/{st.session_state['uuid']}_{hf_model_repo_name}"
if st.session_state['tokenizer_json'] is not None:
with open(f"{st.session_state['tokenizer_json']}/tokenizer_config.json", "rb") as f:
tokenizer_json = json.load(f)
json_spec, col2 = st.columns(spec=[0.3, 0.7])
with json_spec:
st.markdown(f"### Tokenizer Config from {st.session_state['repo_normalized_name']}")
st.json(json.dumps(tokenizer_json, indent=4))
with col2:
chat = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, how are you?"},
{"role": "assistant", "content": "I'm doing great. How can I help you today?"},
{"role": "user", "content": "I'd like to show off how chat templating works!"},
]
st.markdown("### Example Conversation")
st.json(json.dumps(chat, indent=4), expanded=False)
prompt_template_col, prompt_template_output_col = st.columns(spec=[0.3, 0.7])
with prompt_template_col:
list_of_templates = get_existing_templates()
selected_template = st.selectbox("Choose Existing Template or Leave Blank. (If template is None, it will check current tokenizer's `chat_template` and `default_chat_template` fields)",
options=list_of_templates,
index=0, placeholder="Choose a template (If template is None, it will check current tokenizer `chat_template` and `default_chat_template` fields)", disabled=False, label_visibility="visible")
# add_generation_prompt_checkbox = st.checkbox("add_generation_prompt")
generate_prompt_example_button = st.button("Generate Prompt", key="generate_prompt_example_button")
# if selected_template is None:
# st.session_state['input_jinja_template'] = st.text_area(
# "Jinja Chat Template", value=st.session_state['input_jinja_template'],
# height=500, placeholder=None, disabled=False, label_visibility="visible")
if selected_template is not None:
with open(f"./templates/{selected_template}", "r") as f:
jinja_lines = f.readlines()
st.session_state['input_jinja_template'] = "".join(jinja_lines)
if selected_template is None:
st.session_state['input_jinja_template'] = st.session_state['tokenizer'].chat_template
if st.session_state['input_jinja_template'] is None:
st.session_state['input_jinja_template'] = st.session_state['tokenizer'].default_chat_template
st.session_state['input_jinja_template'] = st.text_area(
"Jinja Chat Template", value=st.session_state['input_jinja_template'],
height=500, placeholder=None, disabled=False, label_visibility="visible")
with prompt_template_output_col:
if generate_prompt_example_button:
with open(f"./tmp/{st.session_state['uuid']}/tmp_chat_template.json", "w") as fp:
fp.write(st.session_state['input_jinja_template'])
with open(f"./tmp/{st.session_state['uuid']}/tmp_chat_template.json", "r") as f:
jinja_lines = f.readlines()
st.session_state['tokenizer'].chat_template = sanitize_jinja2(jinja_lines)
generated_prompt_wo_add_generation_prompt = st.session_state['tokenizer'].apply_chat_template(chat, tokenize=False, add_generation_prompt= False)
generated_prompt_w_add_generation_prompt = st.session_state['tokenizer'].apply_chat_template(chat, tokenize=False, add_generation_prompt= True)
st.session_state['successful_template'] = copy.deepcopy(st.session_state['input_jinja_template'])
if len(st.session_state['successful_template']) > 0:
st.text_area(
"Generate Prompt with `add_generation_prompt=False`", value=st.session_state['generated_prompt_wo_add_generation_prompt'],
height=300, placeholder=None, disabled=True, label_visibility="visible", key="generated_prompt_wo_add_generation_prompt")
st.text_area(
"Generate Prompt with `add_generation_prompt=True`", value=st.session_state['generated_prompt_w_add_generation_prompt'],
height=300, placeholder=None, disabled=True, label_visibility="visible", key="generated_prompt_w_add_generation_prompt")
access_token_no_cache = st.text_input("HuggingFace Access Token API with Write Access", type="password", key="access_token_no_cache")
commit_message_text_input = st.text_input("Commit Message", key="commit_message_text_input")
to_private_checkbox = st.checkbox("To Private Repo", key="to_private_checkbox")
create_pr_checkbox = st.checkbox("Create PR (For Contribution 🤗)", key="create_pr_checkbox")
push_to_hub_button = st.button("Push to Hub", key="push_to_hub_button", use_container_width=True)
st.session_state['tokenizer'].save_pretrained(f"./tmp/{st.session_state['uuid']}_{hf_model_repo_name}")
with open(f"./tmp/{st.session_state['uuid']}_{hf_model_repo_name}/tokenizer_config.json", "r") as f:
tokenizer_config_content = json.loads(f.read())
st.download_button(
label="Download tokenizer_config.json",
data=json.dumps(tokenizer_config_content, indent=4),
file_name='tokenizer_config.json',
mime='application/json',
use_container_width=True
)
if push_to_hub_button:
with open(f"./tmp/{st.session_state['uuid']}/tmp_chat_template.json", "w") as fp:
fp.write(st.session_state['successful_template'])
with open(f"./tmp/{st.session_state['uuid']}/tmp_chat_template.json", "r") as f:
successful_jinja_lines = f.readlines()
st.session_state['tokenizer'].chat_template = sanitize_jinja2(successful_jinja_lines)
try:
with st.spinner(text="Pushing to hub ...", cache=False):
st.session_state['tokenizer'].push_to_hub(
repo_id=st.session_state['repo_id'],
commit_message=commit_message_text_input,
private=to_private_checkbox,
token=access_token_no_cache,
create_pr=create_pr_checkbox)
except Exception as e:
st.write(f"Repo id: {st.session_state['repo_id']}")
st.write(str(e))
|