Spaces:
Runtime error
Runtime error
Arash Mari Oriyad
commited on
Commit
•
975f394
1
Parent(s):
a78f9e6
add webdemo app using streamlit
Browse files
app.py
ADDED
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from logging import PlaceHolder
|
2 |
+
from re import sub
|
3 |
+
import streamlit as st
|
4 |
+
import imp, time, random
|
5 |
+
import base64
|
6 |
+
import io
|
7 |
+
import nbformat
|
8 |
+
from PIL import Image
|
9 |
+
from datasets import load_from_disk, load_dataset
|
10 |
+
import os
|
11 |
+
from transformers import pipeline
|
12 |
+
|
13 |
+
|
14 |
+
st.set_page_config(layout="wide")
|
15 |
+
|
16 |
+
def set_submitted_true():
|
17 |
+
st.session_state.submitted = True
|
18 |
+
|
19 |
+
st.markdown("""
|
20 |
+
<style>
|
21 |
+
input, .rtl {
|
22 |
+
unicode-bidi:bidi-override;
|
23 |
+
direction: RTL;
|
24 |
+
}
|
25 |
+
textarea, .rtl {
|
26 |
+
unicode-bidi:bidi-override;
|
27 |
+
direction: RTL;
|
28 |
+
}
|
29 |
+
h2, .rtl {
|
30 |
+
unicode-bidi:bidi-override;
|
31 |
+
direction: RTL;
|
32 |
+
}
|
33 |
+
div[role=tablist], .rtl {
|
34 |
+
unicode-bidi:bidi-override;
|
35 |
+
direction: RTL;
|
36 |
+
}
|
37 |
+
div[role=alert], .rtl {
|
38 |
+
unicode-bidi:bidi-override;
|
39 |
+
direction: RTL;
|
40 |
+
}
|
41 |
+
</style>
|
42 |
+
""", unsafe_allow_html=True)
|
43 |
+
|
44 |
+
latest_iteration = st.empty()
|
45 |
+
bar = st.progress(0)
|
46 |
+
|
47 |
+
|
48 |
+
st.markdown("## سیستم پرسش و پاسخ فارسی")
|
49 |
+
st.markdown("")
|
50 |
+
|
51 |
+
tab1, tab2 = st.tabs(["دمو", "مستندات"])
|
52 |
+
|
53 |
+
|
54 |
+
datasets_names_addresses = {"small-persian-QA": "Hamid-reza/small-persian-QA",
|
55 |
+
"addsent-small-persian-QA": "Hamid-reza/Adv-small-persian-QA",
|
56 |
+
"addany-small-persian-QA": "mohammadhossein/addany-dataset",
|
57 |
+
"back-translation-small-persian-QA": "jalalnb/back_translation_hy_on_small_persian_QA",
|
58 |
+
"invisible-char-small-persian-QA": "jalalnb/invisible_char_on_small_persian_QA"}
|
59 |
+
|
60 |
+
@st.cache(allow_output_mutation=True)
|
61 |
+
def load_datasets(datasets_names_addresses):
|
62 |
+
return {dataset_name: load_dataset(dataset_address)["validation"]
|
63 |
+
for dataset_name, dataset_address in datasets_names_addresses.items()}
|
64 |
+
|
65 |
+
datasets_names_content = load_datasets(datasets_names_addresses)
|
66 |
+
|
67 |
+
selected_dataset_name = st.sidebar.radio(
|
68 |
+
':دیتاست مورد نظر خود را انتخاب نمایید',
|
69 |
+
list(datasets_names_addresses.keys()))
|
70 |
+
selected_dataset = datasets_names_content[selected_dataset_name]
|
71 |
+
|
72 |
+
|
73 |
+
models_names_addresses = {"mbert": ("arashmarioriyad/mbert_v3", "arashmarioriyad/mbert_tokenizer_v3"),
|
74 |
+
"parsbert": ("arashmarioriyad/parsbert_v1", "arashmarioriyad/parsbert_tokenizer_v1"),
|
75 |
+
"addsent-mbert": ("arashmarioriyad/addsent_mbert_v1", "arashmarioriyad/addsent_mbert_tokenizer_v1"),
|
76 |
+
"addsent-parsbert": ("arashmarioriyad/addsent_parsbert_v1", "arashmarioriyad/addsent_parsbert_tokenizer_v1"),
|
77 |
+
"addany-mbert": ("arashmarioriyad/addany_mbert_v1", "arashmarioriyad/addany_mbert_tokenizer_v1"),
|
78 |
+
"addany-parsbert": ("arashmarioriyad/addany_parsbert_v1", "arashmarioriyad/addany_parsbert_tokenizer_v1"),
|
79 |
+
"back-translation-mbert": ("arashmarioriyad/bt_hy_mbert_v1", "arashmarioriyad/bt_hy_mbert_tokenizer_v1"),
|
80 |
+
"back-translation-parsbert": ("arashmarioriyad/bt_hy_parsbert_v1", "arashmarioriyad/bt_hy_parsbert_tokenizer_v1"),
|
81 |
+
"invisible-char-mbert": ("arashmarioriyad/ic_mbert_v1", "arashmarioriyad/ic_mbert_tokenizer_v1"),
|
82 |
+
"invisible-char-parsbert": ("arashmarioriyad/ic_parsbert_v1", "arashmarioriyad/ic_parsbert_tokenizer_v1")}
|
83 |
+
|
84 |
+
@st.cache(allow_output_mutation=True)
|
85 |
+
def load_models(models_names_addresses):
|
86 |
+
return {model_name: pipeline("question-answering",
|
87 |
+
model=models_names_addresses[model_name][0],
|
88 |
+
tokenizer=models_names_addresses[model_name][1])
|
89 |
+
for model_name, model_address in models_names_addresses.items()}
|
90 |
+
|
91 |
+
models_names_contents = load_models(models_names_addresses)
|
92 |
+
|
93 |
+
selected_model_name = st.sidebar.radio(
|
94 |
+
':مدل مورد نظر خود را انتخاب نمایید',
|
95 |
+
list(models_names_addresses.keys()))
|
96 |
+
selected_model = models_names_contents[selected_model_name]
|
97 |
+
|
98 |
+
|
99 |
+
st.sidebar.info("تمامی دادگان، کد ها و نتایج ارزیابی مدل ها در [صفحه گیت هاب پروژه](https://github.com/NLP-Final-Projects/Adversarial-QA/) قابل دسترسی است", icon="ℹ️")
|
100 |
+
|
101 |
+
|
102 |
+
|
103 |
+
with tab1.form("my_form", clear_on_submit=False):
|
104 |
+
|
105 |
+
col1, col2, col3 = st.columns(3)
|
106 |
+
with col1:
|
107 |
+
generate_random_data = st.form_submit_button("تولید دادهی تصادفی")
|
108 |
+
if generate_random_data:
|
109 |
+
sample_idx = random.randrange(len(selected_dataset))
|
110 |
+
st.session_state.context = selected_dataset[sample_idx]["context"]
|
111 |
+
st.session_state.question = selected_dataset[sample_idx]["question"]
|
112 |
+
|
113 |
+
if 'context' in st.session_state and st.session_state.context is not None:
|
114 |
+
context = st.text_area(label="Context", key="context", height=300, value=st.session_state.context)
|
115 |
+
question = st.text_input(label="Question", key="question", value=st.session_state.question)
|
116 |
+
else:
|
117 |
+
context = st.text_area(label="Context", height=300, placeholder="متن مورد نظر را اینجا وارد کنید ...")
|
118 |
+
question = st.text_input(label="Question", placeholder="سوال خود از متن را اینجا بپرسید ...")
|
119 |
+
|
120 |
+
submitted = st.form_submit_button("Get Answer")
|
121 |
+
if submitted or ('submitted' in st.session_state and st.session_state.submitted):
|
122 |
+
st.session_state.submitted = False
|
123 |
+
selected_prediction = selected_model(question=question, context=context)["answer"]
|
124 |
+
st.text_area(label=f"Answer ({selected_model_name}):", value=selected_prediction if selected_prediction!="" else "بدون پاسخ")
|