Spaces:
Sleeping
Sleeping
File size: 2,880 Bytes
3d730c5 0b476b9 3d730c5 0b476b9 3d730c5 e8e470a 3d730c5 e8e470a 3d730c5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 |
import gradio as gr
import os
os.system("pip install huggingface_hub")
from huggingface_hub import space_info
from predict import *
from transformers import T5ForConditionalGeneration
from transformers import T5TokenizerFast as T5Tokenizer
import pandas as pd
model = "svjack/comet-atomic-en"
device = "cpu"
#device = "cuda:0"
tokenizer = T5Tokenizer.from_pretrained(model)
model = T5ForConditionalGeneration.from_pretrained(model).to(device).eval()
NEED_PREFIX = 'What are the necessary preconditions for the next event?'
EFFECT_PREFIX = 'What could happen after the next event?'
INTENT_PREFIX = 'What is the motivation for the next event?'
REACT_PREFIX = 'What are your feelings after the following event?'
obj = Obj(model, tokenizer, device)
'''
text0 = "X吃到了一顿大餐。"
text1 = "X和Y一起搭了个积木。"
'''
text0 = "X had a big meal."
text1 = "X invites Y to a party."
example_sample = [
[text0, False],
[text1, False],
]
def demo_func(event, do_sample):
#event = "X吃到了一顿大餐。"
times = 1
df = pd.DataFrame(
pd.Series(
[NEED_PREFIX, EFFECT_PREFIX, INTENT_PREFIX, REACT_PREFIX]
).map(
lambda x: (x, [obj.predict(
"{}{}".format(x, event), do_sample = do_sample
)[0] for _ in range(times)][0])
).values.tolist()
)
df.columns = ["PREFIX", "PRED"]
l = df.apply(lambda x: x.to_dict(), axis = 1).values.tolist()
return {
"Output": l
}
markdown_exp_size = "##"
lora_repo = "svjack/chatglm3-few-shot"
lora_repo_link = "svjack/chatglm3-few-shot/?input_list_index=6"
emoji_info = space_info(lora_repo).__dict__["cardData"]["emoji"]
space_cnt = 1
task_name = "[---English Comet Atomic---]"
description = f"{markdown_exp_size} {task_name} few shot prompt in ChatGLM3 Few Shot space repo (click submit to activate) : [{lora_repo_link}](https://huggingface.co/spaces/{lora_repo_link}) {emoji_info}"
demo = gr.Interface(
fn=demo_func,
inputs=[gr.Text(label = "Event"),
gr.Checkbox(label="do sample"),
],
outputs="json",
title=f"English Comet Atomic 🦅 demonstration",
description = 'This _example_ was **drive** from <br/><b><h4>[https://github.com/svjack/COMET-ATOMIC-En-Zh](https://github.com/svjack/COMET-ATOMIC-En-Zh)</h4></b>\n',
#description = description,
examples=example_sample if example_sample else None,
cache_examples = False
)
with demo:
gr.HTML(
'''
<div style="justify-content: center; display: flex;">
<iframe
src="https://svjack-chatglm3-few-shot-demo.hf.space/?input_list_index=6"
frameborder="0"
width="1400"
height="768"
></iframe>
</div>
'''
)
demo.launch(server_name=None, server_port=None)
|