import os
import json
import datetime
import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModel
if torch.cuda.is_available():
device = 'cuda'
else:
device = 'cpu'
tokenizer = AutoTokenizer.from_pretrained('THUDM/chatglm-6b-int4', trust_remote_code=True)
if device == 'cuda':
model = AutoModel.from_pretrained('THUDM/chatglm-6b-int4', trust_remote_code=True).half().cuda()
else:
model = AutoModel.from_pretrained('THUDM/chatglm-6b-int4', trust_remote_code=True).float()
model = model.eval()
def parse_text(text):
lines = text.split('\n')
for i, line in enumerate(lines):
if '```' in line:
item = line.split('`')[-1]
if item:
lines[i] = f''
else:
lines[i] = '
'
else:
if i > 0:
line = line.replace('<', '<').replace('>', '>')
lines[i] = f'
{line}'
return ''.join(lines)
def chat_wrapper(query, styled_history, history, max_length, top_p, temperature, memory_limit):
if query == '':
return [], [], '', *gr_hide()
if memory_limit == 0:
history = []
styled_history = []
elif memory_limit > 0:
history = history[-memory_limit:]
styled_history = styled_history[-memory_limit:]
flag = True
styled_history_pos = 0
for message, history in model.stream_chat(tokenizer, query, history=history,
max_length=max_length, top_p=top_p, temperature=temperature):
if flag:
styled_history.append((parse_text(query), parse_text(message)))
styled_history_pos = len(styled_history) - 1
flag = False
else:
styled_history[styled_history_pos] = (parse_text(query), parse_text(message))
yield styled_history, history, '', *gr_hide()
def regenerate_wrapper(styled_history, history, max_length, top_p, temperature, memory_limit):
if not history:
return [], [], '', *gr_hide()
styled_history, history, query, _, _, _ = edit_wrapper(styled_history, history)
for ret in chat_wrapper(query, styled_history, history, max_length, top_p, temperature, memory_limit):
yield ret
def edit_wrapper(styled_history, history):
if len(history) == 0:
return [], [], ''
query = history[-1][0]
history = history[:-1]
styled_history = styled_history[:-1]
return styled_history, history, query, *gr_hide()
def reset_history():
return [], [], '', *gr_hide()
def save_history(history):
os.makedirs('log', exist_ok=True)
dict_list = [{'input': q, 'output': a} for q, a in history]
with open(f'log/{datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S")}.json', 'w', encoding='utf-8') as f:
json.dump(dict_list, f, ensure_ascii=False, indent=2)
def save_config(max_length=2048, top_p=0.7, temperature=0.95, memory_limit=0.0):
with open('config.json', 'w') as f:
json.dump({'max_length': max_length, 'top_p': top_p, 'temperature': temperature, 'memory_limit': memory_limit}, f, indent=2)
def load_history(file, styled_history, history):
current_styled_history, current_history = styled_history.copy(), history.copy()
try:
with open(file.name, 'r', encoding='utf-8') as f:
dict_list = json.load(f)
history = [(item['input'], item['output']) for item in dict_list]
styled_history = [(parse_text(item['input']), parse_text(item['output'])) for item in dict_list]
except BaseException:
return current_styled_history, current_history, ''
return styled_history, history, '', *gr_hide()
def gr_show_and_load(history, evt: gr.SelectData):
if evt.index[1] == 0:
label = f'Editing Q{evt.index[0]}：'
else:
label = f'Editing Q{evt.index[0]}：'
return {'visible': True, '__type__': 'update'}, {'value': history[evt.index[0]][evt.index[1]], 'label': label, '__type__': 'update'}, evt.index
def update_history(styled_history, history, log, idx):
if log == '':
return styled_history, history, {'visible': True, '__type__': 'update'}, {'value': history[idx[0]][idx[1]], '__type__': 'update'}, idx
def swap_value(lst, idx, value):
lst[idx[0]] = tuple(value if j == idx[1] else elem for j, elem in enumerate(lst[idx[0]]))
return lst
styled_history = swap_value(styled_history, idx, parse_text(log))
history = swap_value(history, idx, log)
return styled_history, history, *gr_hide()
def gr_hide():
return {'visible': False, '__type__': 'update'}, {'value': '', 'label': '', '__type__': 'update'}, []
with gr.Blocks() as demo:
with gr.Tab("和ChatGLM谈天说地"):
if not os.path.isfile('config.json'):
save_config()
with open('config.json', 'r', encoding='utf-8') as f:
configs = json.loads(f.read())
gr.Markdown('''# 🥳 滔滔AI 🎶
### 🥰 - 滔滔AI，让有爱的AI滔滔不绝
### 🦄 - TalkTalkAI, let lovely AI brighten the future
''')
with gr.Row():
max_length = gr.Slider(minimum=4.0, maximum=4096.0, step=4.0, label='Max Length', value=configs['max_length'])
top_p = gr.Slider(minimum=0.01, maximum=1.0, step=0.01, label='Top P', value=configs['top_p'])
temperature = gr.Slider(minimum=0.01, maximum=2.0, step=0.01, label='Temperature', value=configs['temperature'])
memory_limit = gr.Slider(minimum=0.0, maximum=20.0, step=1.0, label='Memory Limit', value=configs['memory_limit'])
save_conf = gr.Button('保存设置', visible=False)
gr.Markdown('''Hint: click on a chat bubble to edit chat history
''')
state = gr.State([])
chatbot = gr.Chatbot(elem_id='chatbot', show_label=False)
with gr.Row(visible=False) as edit_log:
with gr.Column():
log = gr.Textbox()
with gr.Row():
submit_log = gr.Button('保存')
cancel_log = gr.Button('取消')
log_idx = gr.State([])
message = gr.Textbox(placeholder='Input your message', label='Q:')
with gr.Row():
submit = gr.Button('Submit')
edit = gr.Button('Edit last question')
regen = gr.Button('Re-generate')
delete = gr.Button('Reset chat')
with gr.Row(visible=False):
save = gr.Button('保存对话（在 `log` 文件夹下）')
load = gr.UploadButton('读取对话', file_types=['file'], file_count='single')
input_list = [message, chatbot, state, max_length, top_p, temperature, memory_limit]
output_list = [chatbot, state, message]
edit_list = [edit_log, log, log_idx]
save_conf.click(save_config, inputs=input_list[3:])
load.upload(load_history, inputs=[load, chatbot, state], outputs=output_list + edit_list)
save.click(save_history, inputs=[state])
message.submit(chat_wrapper, inputs=input_list, outputs=output_list + edit_list)
submit.click(chat_wrapper, inputs=input_list, outputs=output_list + edit_list)
edit.click(edit_wrapper, inputs=input_list[1:3], outputs=output_list + edit_list)
regen.click(regenerate_wrapper, inputs=input_list[1:], outputs=output_list + edit_list)
delete.click(reset_history, outputs=output_list + edit_list)
chatbot.select(gr_show_and_load, inputs=[state], outputs=edit_list)
edit_kwargs = {'inputs': [chatbot, state, log, log_idx], 'outputs': [chatbot, state] + edit_list}
log.submit(update_history, **edit_kwargs)
submit_log.click(update_history, **edit_kwargs)
cancel_log.click(gr_hide, outputs=edit_list)
gr.HTML('''
''')
gr.HTML('''
''')
with gr.Tab("发现更多有趣功能"):
gr.Markdown('''# 🥳 滔滔AI 🎶
### 🥰 - 滔滔AI，让有爱的AI滔滔不绝
### 🦄 - TalkTalkAI, let lovely AI brighten the future
''')
gr.Markdown(
"""
## 😄 - 更多精彩尽在滔滔AI
## 🖌️ [Stable Diffusion](https://kevinwang676-stable-diffusion-for-all.hf.space)：AI画家，为您执笔作画
## 🎶 [Sovits](https://kevinwang676-voice-cloning-for-bilibili.hf.space)：AI歌手，为您一展歌喉
## 🤖 [声音克隆](https://kevinwang676-voice-cloning-demo.hf.space)：AI拟声，为您妙语连珠
"""
)
gr.HTML('''
''')
gr.HTML('''
''')
if __name__ == '__main__':
demo.queue(concurrency_count=5, max_size=20).launch(debug=True)