Mirrors/text-generation-webui
1
0
Fork 0
mirror of https://github.com/oobabooga/text-generation-webui.git synced 2024-11-22 16:17:57 +01:00
Code Issues Packages Projects Releases Wiki Activity

Improve spacings

Browse Source
This commit is contained in:
oobabooga 2023-01-07 19:11:21 -03:00
parent 971fb8e011
commit 300a500c0b
1 changed files with 5 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
server.py
View File

@ -42,7 +42,7 @@ def load_model(model_name):
model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda() model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda()
# Loading the tokenizer # Loading the tokenizer
if model_name.startswith('gpt4chan'): if model_name.lower().startswith('gpt4chan'):
tokenizer = AutoTokenizer.from_pretrained(Path("models/gpt-j-6B/")) tokenizer = AutoTokenizer.from_pretrained(Path("models/gpt-j-6B/"))
elif model_name in ['flan-t5']: elif model_name in ['flan-t5']:
tokenizer = T5Tokenizer.from_pretrained(Path(f"models/{model_name}/")) tokenizer = T5Tokenizer.from_pretrained(Path(f"models/{model_name}/"))
@ -116,15 +116,16 @@ else:
model_name = available_models[i] model_name = available_models[i]
model, tokenizer = load_model(model_name) model, tokenizer = load_model(model_name)
if model_name.startswith('gpt4chan'): if model_name.lower().startswith('gpt4chan'):
default_text = "-----\n--- 865467536\nInput text\n--- 865467537\n" default_text = "-----\n--- 865467536\nInput text\n--- 865467537\n"
else: else:
default_text = "Common sense questions and answers\n\nQuestion: \nFactual answer:" default_text = "Common sense questions and answers\n\nQuestion: \nFactual answer:"
if args.notebook: if args.notebook:
with gr.Blocks() as interface: with gr.Blocks(css=".my-4 {margin-top: 0} .py-6 {padding-top: 2.5rem}") as interface:
gr.Markdown( gr.Markdown(
f""" f"""
# Text generation lab # Text generation lab
Generate text using Large Language Models. Generate text using Large Language Models.
""" """
@ -148,7 +149,7 @@ if args.notebook:
btn.click(generate_reply, [textbox, temp_slider, length_slider, preset_menu, model_menu], [textbox, markdown, html], show_progress=False) btn.click(generate_reply, [textbox, temp_slider, length_slider, preset_menu, model_menu], [textbox, markdown, html], show_progress=False)
else: else:
with gr.Blocks() as interface: with gr.Blocks(css=".my-4 {margin-top: 0} .py-6 {padding-top: 2.5rem}") as interface:
gr.Markdown( gr.Markdown(
f""" f"""
# Text generation lab # Text generation lab