DeepSeek-VL/deepseek_vl/serve/app_modules/gradio_utils.py
2024-03-13 12:58:10 +08:00

76 lines
1.4 KiB
Python
Executable File

from functools import wraps
import gradio as gr
def wrap_gen_fn(gen_fn):
@wraps(gen_fn)
def wrapped_gen_fn(prompt, *args, **kwargs):
try:
yield from gen_fn(prompt, *args, **kwargs)
except gr.Error as g_err:
raise g_err
except Exception as e:
raise gr.Error(f'Failed to generate text: {e}') from e
return wrapped_gen_fn
def delete_last_conversation(chatbot, history):
if len(history) % 2 != 0:
gr.Error("history length is not even")
return (
chatbot,
history,
"Delete Done",
)
if len(chatbot) > 0:
chatbot.pop()
if len(history) > 0 and len(history) % 2 == 0:
history.pop()
history.pop()
return (
chatbot,
history,
"Delete Done",
)
def reset_state():
return [], [], None, "Reset Done"
def reset_textbox():
return gr.update(value=""), ""
def cancel_outputing():
return "Stop Done"
def transfer_input(input_text, input_image):
print("transferring input text and input image")
return (
input_text,
input_image,
gr.update(value=""),
gr.update(value=None),
gr.Button(visible=True),
)
class State:
interrupted = False
def interrupt(self):
self.interrupted = True
def recover(self):
self.interrupted = False
shared_state = State()