fix no history problem

main
wsl-wy 2 years ago
parent df25dee167
commit ad66116fe5

@ -9,12 +9,23 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.generation import GenerationConfig
import sys
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B-Chat", device_map="auto", trust_remote_code=True).eval()
model.generation_config = GenerationConfig.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(
"Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True
)
model = AutoModelForCausalLM.from_pretrained(
"Qwen/Qwen-7B-Chat",
device_map="auto",
offload_folder="offload",
trust_remote_code=True,
resume_download=True,
).eval()
model.generation_config = GenerationConfig.from_pretrained(
"Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True
)
if len(sys.argv) > 1 and sys.argv[1] == "--exit":
exit(0)
sys.exit(0)
def postprocess(self, y):
if y is None:
@ -58,21 +69,26 @@ def parse_text(text):
line = line.replace("(", "(")
line = line.replace(")", ")")
line = line.replace("$", "$")
lines[i] = "<br>"+line
lines[i] = "<br>" + line
text = "".join(lines)
return text
def predict(input, chatbot, history, past_key_values):
task_history = []
def predict(input, chatbot):
print('Q: ' + parse_text(input))
chatbot.append((parse_text(input), ""))
fullResponse = "";
fullResponse = ""
for response in model.chat(tokenizer, input, history=history, stream=True):
for response in model.chat(tokenizer, input, history=task_history, stream=True):
chatbot[-1] = (parse_text(input), parse_text(response))
yield chatbot, history, past_key_values
fullResponse = parse_text(response);
yield chatbot
fullResponse = parse_text(response)
task_history.append((input, fullResponse))
print("A: " + parse_text(fullResponse))
@ -81,7 +97,8 @@ def reset_user_input():
def reset_state():
return [], [], None
task_history = []
return []
with gr.Blocks() as demo:
@ -91,19 +108,16 @@ with gr.Blocks() as demo:
with gr.Row():
with gr.Column(scale=4):
with gr.Column(scale=12):
user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style(
container=False)
query = gr.Textbox(
show_label=False, placeholder="Input...", lines=10
).style(container=False)
with gr.Column(min_width=32, scale=1):
submitBtn = gr.Button("Submit", variant="primary")
with gr.Column(scale=1):
emptyBtn = gr.Button("Clear History")
history = gr.State([])
past_key_values = gr.State(None)
submitBtn.click(predict, [user_input, chatbot, history, past_key_values],
[chatbot, history, past_key_values], show_progress=True)
submitBtn.click(reset_user_input, [], [user_input])
emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True)
submitBtn.click(predict, [query, chatbot], [chatbot], show_progress=True)
submitBtn.click(reset_user_input, [], [query])
emptyBtn.click(reset_state, outputs=[chatbot], show_progress=True)
demo.queue().launch(share=False, inbrowser=True, server_port=80, server_name="0.0.0.0")

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