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Add shared.is_chat() function

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oobabooga 2023-04-01 20:14:43 -03:00
parent b38ba230f4
commit b0890a7925
5 changed files with 17 additions and 15 deletions
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2
extensions/llama_prompts/script.py
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@ -11,7 +11,7 @@ def get_prompt_by_name(name):
return df[df['Prompt name'] == name].iloc[0]['Prompt'].replace('\\n', '\n') return df[df['Prompt name'] == name].iloc[0]['Prompt'].replace('\\n', '\n')
def ui(): def ui():
if not shared.args.chat or shared.args.cai_chat: if not shared.is_chat():
choices = ['None'] + list(df['Prompt name']) choices = ['None'] + list(df['Prompt name'])
prompts_menu = gr.Dropdown(value=choices[0], choices=choices, label='Prompt') prompts_menu = gr.Dropdown(value=choices[0], choices=choices, label='Prompt')

2
extensions/silero_tts/script.py
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@ -74,7 +74,7 @@ def input_modifier(string):
""" """
# Remove autoplay from the last reply # Remove autoplay from the last reply
if (shared.args.chat or shared.args.cai_chat) and len(shared.history['internal']) > 0: if shared.is_chat() and len(shared.history['internal']) > 0:
shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')] shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')]
shared.processing_message = "*Is recording a voice message...*" shared.processing_message = "*Is recording a voice message...*"

4
modules/shared.py
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@ -129,10 +129,12 @@ parser.add_argument("--gradio-auth-path", type=str, help='Set the gradio authent
args = parser.parse_args() args = parser.parse_args()
# Provisional, this will be deleted later # Provisional, this will be deleted later
deprecated_dict = {'gptq_bits': ['wbits', 0], 'gptq_model_type': ['model_type', None], 'gptq_pre_layer': ['prelayer', 0]} deprecated_dict = {'gptq_bits': ['wbits', 0], 'gptq_model_type': ['model_type', None], 'gptq_pre_layer': ['prelayer', 0]}
for k in deprecated_dict: for k in deprecated_dict:
if eval(f"args.{k}") != deprecated_dict[k][1]: if eval(f"args.{k}") != deprecated_dict[k][1]:
print(f"Warning: --{k} is deprecated and will be removed. Use --{deprecated_dict[k][0]} instead.") print(f"Warning: --{k} is deprecated and will be removed. Use --{deprecated_dict[k][0]} instead.")
exec(f"args.{deprecated_dict[k][0]} = args.{k}") exec(f"args.{deprecated_dict[k][0]} = args.{k}")
def is_chat():
return any((args.chat, args.cai_chat))

18
modules/text_generation.py
View File

@ -76,7 +76,7 @@ def fix_galactica(s):
return s return s
def formatted_outputs(reply, model_name): def formatted_outputs(reply, model_name):
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
if 'galactica' in model_name.lower(): if 'galactica' in model_name.lower():
reply = fix_galactica(reply) reply = fix_galactica(reply)
return reply, reply, generate_basic_html(reply) return reply, reply, generate_basic_html(reply)
@ -109,7 +109,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
t0 = time.time() t0 = time.time()
original_question = question original_question = question
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
question = apply_extensions(question, "input") question = apply_extensions(question, "input")
if shared.args.verbose: if shared.args.verbose:
print(f"\n\n{question}\n--------------------\n") print(f"\n\n{question}\n--------------------\n")
@ -121,18 +121,18 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
if shared.args.no_stream: if shared.args.no_stream:
reply = shared.model.generate(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty) reply = shared.model.generate(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty)
output = original_question+reply output = original_question+reply
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
reply = original_question + apply_extensions(reply, "output") reply = original_question + apply_extensions(reply, "output")
yield formatted_outputs(reply, shared.model_name) yield formatted_outputs(reply, shared.model_name)
else: else:
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
yield formatted_outputs(question, shared.model_name) yield formatted_outputs(question, shared.model_name)
# RWKV has proper streaming, which is very nice. # RWKV has proper streaming, which is very nice.
# No need to generate 8 tokens at a time. # No need to generate 8 tokens at a time.
for reply in shared.model.generate_with_streaming(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty): for reply in shared.model.generate_with_streaming(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty):
output = original_question+reply output = original_question+reply
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
reply = original_question + apply_extensions(reply, "output") reply = original_question + apply_extensions(reply, "output")
yield formatted_outputs(reply, shared.model_name) yield formatted_outputs(reply, shared.model_name)
@ -208,7 +208,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
new_tokens = len(output) - len(input_ids[0]) new_tokens = len(output) - len(input_ids[0])
reply = decode(output[-new_tokens:]) reply = decode(output[-new_tokens:])
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
reply = original_question + apply_extensions(reply, "output") reply = original_question + apply_extensions(reply, "output")
yield formatted_outputs(reply, shared.model_name) yield formatted_outputs(reply, shared.model_name)
@ -226,7 +226,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
def generate_with_streaming(**kwargs): def generate_with_streaming(**kwargs):
return Iteratorize(generate_with_callback, kwargs, callback=None) return Iteratorize(generate_with_callback, kwargs, callback=None)
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
yield formatted_outputs(original_question, shared.model_name) yield formatted_outputs(original_question, shared.model_name)
with generate_with_streaming(**generate_params) as generator: with generate_with_streaming(**generate_params) as generator:
for output in generator: for output in generator:
@ -235,7 +235,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
new_tokens = len(output) - len(input_ids[0]) new_tokens = len(output) - len(input_ids[0])
reply = decode(output[-new_tokens:]) reply = decode(output[-new_tokens:])
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
reply = original_question + apply_extensions(reply, "output") reply = original_question + apply_extensions(reply, "output")
if output[-1] in eos_token_ids: if output[-1] in eos_token_ids:
@ -253,7 +253,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
new_tokens = len(output) - len(original_input_ids[0]) new_tokens = len(output) - len(original_input_ids[0])
reply = decode(output[-new_tokens:]) reply = decode(output[-new_tokens:])
if not (shared.args.chat or shared.args.cai_chat): if not shared.is_chat():
reply = original_question + apply_extensions(reply, "output") reply = original_question + apply_extensions(reply, "output")
if np.count_nonzero(np.isin(input_ids[0], eos_token_ids)) < np.count_nonzero(np.isin(output, eos_token_ids)): if np.count_nonzero(np.isin(input_ids[0], eos_token_ids)) < np.count_nonzero(np.isin(output, eos_token_ids)):

6
server.py
View File

@ -244,7 +244,7 @@ available_loras = get_available_loras()
# Default extensions # Default extensions
extensions_module.available_extensions = get_available_extensions() extensions_module.available_extensions = get_available_extensions()
if shared.args.chat or shared.args.cai_chat: if shared.is_chat():
for extension in shared.settings['chat_default_extensions']: for extension in shared.settings['chat_default_extensions']:
shared.args.extensions = shared.args.extensions or [] shared.args.extensions = shared.args.extensions or []
if extension not in shared.args.extensions: if extension not in shared.args.extensions:
@ -290,8 +290,8 @@ def create_interface():
if shared.args.extensions is not None and len(shared.args.extensions) > 0: if shared.args.extensions is not None and len(shared.args.extensions) > 0:
extensions_module.load_extensions() extensions_module.load_extensions()
with gr.Blocks(css=ui.css if not any((shared.args.chat, shared.args.cai_chat)) else ui.css+ui.chat_css, analytics_enabled=False, title=title) as shared.gradio['interface']: with gr.Blocks(css=ui.css if not shared.is_chat() else ui.css+ui.chat_css, analytics_enabled=False, title=title) as shared.gradio['interface']:
if shared.args.chat or shared.args.cai_chat: if shared.is_chat():
with gr.Tab("Text generation", elem_id="main"): with gr.Tab("Text generation", elem_id="main"):
if shared.args.cai_chat: if shared.args.cai_chat:
shared.gradio['display'] = gr.HTML(value=generate_chat_html(shared.history['visible'], shared.settings['name1'], shared.settings['name2'], shared.character)) shared.gradio['display'] = gr.HTML(value=generate_chat_html(shared.history['visible'], shared.settings['name1'], shared.settings['name2'], shared.character))