Spaces:
Runtime error
Runtime error
File size: 5,141 Bytes
daeb223 |
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 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 |
import streamlit as st
import io
import os
import yaml
import pyarrow
import tokenizers
os.environ["TOKENIZERS_PARALLELISM"] = "true"
# SETTING PAGE CONFIG TO WIDE MODE
st.set_page_config(layout="wide")
@st.cache
def from_library():
from retro_reader import RetroReader
from retro_reader import constants as C
return C, RetroReader
C, RetroReader = from_library()
# https://stackoverflow.com/questions/70274841/streamlit-unhashable-typeerror-when-i-use-st-cache
my_hash_func = {
io.TextIOWrapper: lambda _: None,
pyarrow.lib.Buffer: lambda _: 0,
tokenizers.Tokenizer: lambda _: None,
tokenizers.AddedToken: lambda _: None
}
# @st.cache(hash_funcs=my_hash_func, allow_output_mutation=True)
# def load_ko_roberta_large_model():
# config_file = "configs/inference_ko_roberta_large.yaml"
# return RetroReader.load(config_file=config_file)
# @st.cache(hash_funcs=my_hash_func, allow_output_mutation=True)
# def load_ko_electra_small_model():
# config_file = "configs/inference_ko_electra_small.yaml"
# return RetroReader.load(config_file=config_file)
# @st.cache(hash_funcs=my_hash_func, allow_output_mutation=True)
# def load_en_electra_large_model():
# config_file = "configs/inference_en_electra_large.yaml"
# return RetroReader.load(config_file=config_file)
@st.cache(hash_funcs=my_hash_func, allow_output_mutation=True)
def load_vi_electra_base_model():
config_file = "configs/inference_vi_electra_base.yaml"
return RetroReader.load(config_file=config_file)
RETRO_READER_HOST = {
# "klue/roberta-large": load_ko_roberta_large_model(),
# "monologg/koelectra-small-v3-discriminator": load_ko_electra_small_model(),
"google/electra-large-discriminator": load_vi_electra_base_model(),
}
def main():
st.title("Retrospective Reader Demo")
# st.markdown("## Model name")
# option = st.selectbox(
# label="Choose the model used in retro reader",
# options=(
# # "[ko_KR] klue/roberta-large",
# # "[ko_KR] monologg/koelectra-small-v3-discriminator",
# "[vi_XX] google/electra-large-discriminator",
# ),
# index=0,
# )
# lang_code, model_name = option.split(" ")
retro_reader = load_vi_electra_base_model()
# retro_reader = load_model()
lang_prefix = "EN"
height = 300
# retro_reader.null_score_diff_threshold = st.sidebar.slider(
# label="null_score_diff_threshold",
# min_value=-10.0, max_value=10.0, value=0.0, step=1.0,
# help="ma!",
# )
# retro_reader.rear_threshold = st.sidebar.slider(
# label="rear_threshold",
# min_value=-10.0, max_value=10.0, value=0.0, step=1.0,
# help="ma!",
# )
# retro_reader.n_best_size = st.sidebar.slider(
# label="n_best_size",
# min_value=1, max_value=50, value=20, step=1,
# help="ma!",
# )
# retro_reader.beta1 = st.sidebar.slider(
# label="beta1",
# min_value=-10.0, max_value=10.0, value=1.0, step=1.0,
# help="ma!",
# )
# retro_reader.beta2 = st.sidebar.slider(
# label="beta2",
# min_value=-10.0, max_value=10.0, value=1.0, step=1.0,
# help="ma!",
# )
# retro_reader.best_cof = st.sidebar.slider(
# label="best_cof",
# min_value=-10.0, max_value=10.0, value=1.0, step=1.0,
# help="ma!",
# )
# return_submodule_outputs = st.sidebar.checkbox('return_submodule_outputs', value=False)
return_submodule_outputs = False
st.markdown("## Demonstration")
with st.form(key="my_form"):
query = st.text_input(
label="Type your query",
value=getattr(C, f"{lang_prefix}_EXAMPLE_QUERY"),
max_chars=None,
help=getattr(C, f"{lang_prefix}_QUERY_HELP_TEXT"),
)
context = st.text_area(
label="Type your context",
value=getattr(C, f"{lang_prefix}_EXAMPLE_CONTEXTS"),
height=height,
max_chars=None,
help=getattr(C, f"{lang_prefix}_CONTEXT_HELP_TEXT"),
)
submit_button = st.form_submit_button(label="Submit")
if submit_button:
with st.spinner("Please wait.."):
outputs = retro_reader(
query=query,
context=context,
return_submodule_outputs=return_submodule_outputs,
)
answer, score = outputs[0]["id-01"], outputs[1]
if not answer:
answer = "No answer"
st.markdown("## Results")
st.write(answer)
st.markdown("### Rear Verification Score")
st.json(score)
# if return_submodule_outputs:
# score_ext, nbest_preds, score_diff = outputs[2:]
# st.markdown("### Sketch Reader Score (score_ext)")
# st.json(score_ext)
# st.markdown("### Intensive Reader Score (score_diff)")
# st.json(score_diff)
# st.markdown("### N Best Predictions (from intensive reader)")
# st.json(nbest_preds)
if __name__ == "__main__":
main() |