Update app.py
Browse files
app.py
CHANGED
@@ -2,7 +2,10 @@ import streamlit as st
|
|
2 |
import sacrebleu
|
3 |
from bert_score import score as bert_score
|
4 |
import jieba
|
5 |
-
import
|
|
|
|
|
|
|
6 |
|
7 |
def calculate_bleu(translations, references):
|
8 |
return sacrebleu.corpus_bleu(translations, [references]).score
|
@@ -14,7 +17,7 @@ def calculate_chrf(translations, references):
|
|
14 |
return sacrebleu.corpus_chrf(translations, [references]).score
|
15 |
|
16 |
def calculate_bertscore(translations, references, lang):
|
17 |
-
P, R, F1 = bert_score(translations, references, lang=lang)
|
18 |
return F1.mean().item()
|
19 |
|
20 |
def tokenize_chinese(text):
|
@@ -25,18 +28,15 @@ st.write("Input the translated text and the reference translation to compute BLE
|
|
25 |
|
26 |
languages = {
|
27 |
"English": "en", "Chinese": "zh", "French": "fr", "German": "de", "Spanish": "es",
|
28 |
-
"
|
29 |
-
"Dutch": "nl", "Portuguese": "pt", "
|
30 |
-
"Swedish": "sv", "Danish": "da", "Finnish": "fi", "Greek": "el", "Hungarian": "hu",
|
31 |
-
"Indonesian": "id", "Norwegian": "no", "Romanian": "ro", "Thai": "th", "Vietnamese": "vi",
|
32 |
-
"Hebrew": "he", "Hindi": "hi", "Bengali": "bn", "Tamil": "ta", "Urdu": "ur", "Other": "other"
|
33 |
}
|
34 |
|
35 |
source_lang = st.selectbox("Select Source Language", list(languages.keys()))
|
36 |
target_lang = st.selectbox("Select Target Language", list(languages.keys()))
|
37 |
|
38 |
-
source_lang_code =
|
39 |
-
target_lang_code =
|
40 |
|
41 |
translation_input = st.text_area("Translated Text", height=200)
|
42 |
reference_input = st.text_area("Reference Translation", height=200)
|
@@ -56,25 +56,14 @@ if st.button("Evaluate"):
|
|
56 |
else:
|
57 |
references = [reference_input.strip()]
|
58 |
|
59 |
-
st.write("
|
60 |
-
st.write(f"Translation: {translations}")
|
61 |
-
st.write(f"Reference: {references}")
|
62 |
-
|
63 |
-
st.write("Debug: Calculating scores...")
|
64 |
|
65 |
bleu_score = calculate_bleu(translations, references)
|
66 |
-
st.write(f"Debug: BLEU score calculated: {bleu_score}")
|
67 |
-
|
68 |
ter_score = calculate_ter(translations, references)
|
69 |
-
st.write(f"Debug: TER score calculated: {ter_score}")
|
70 |
-
|
71 |
chrf_score = calculate_chrf(translations, references)
|
72 |
-
st.write(f"Debug: CHRF score calculated: {chrf_score}")
|
73 |
-
|
74 |
bertscore = calculate_bertscore(translations, references, target_lang_code)
|
75 |
-
st.write(f"Debug: BERTScore calculated: {bertscore}")
|
76 |
|
77 |
-
st.write("
|
78 |
st.write(f"**BLEU Score:** {bleu_score:.2f}")
|
79 |
st.write(f"**TER Score:** {ter_score:.2f}")
|
80 |
st.write(f"**CHRF Score:** {chrf_score:.2f}")
|
@@ -82,9 +71,5 @@ if st.button("Evaluate"):
|
|
82 |
|
83 |
except Exception as e:
|
84 |
st.error(f"An error occurred: {str(e)}")
|
85 |
-
st.write("Debug: Full traceback")
|
86 |
-
st.code(traceback.format_exc())
|
87 |
else:
|
88 |
-
st.error("Please provide both translated text and reference translation.")
|
89 |
-
|
90 |
-
st.write("Debug: End of script reached")
|
|
|
2 |
import sacrebleu
|
3 |
from bert_score import score as bert_score
|
4 |
import jieba
|
5 |
+
import torch
|
6 |
+
|
7 |
+
# Ensure CUDA is not used to avoid potential issues on Hugging Face Spaces
|
8 |
+
torch.cuda.is_available = lambda : False
|
9 |
|
10 |
def calculate_bleu(translations, references):
|
11 |
return sacrebleu.corpus_bleu(translations, [references]).score
|
|
|
17 |
return sacrebleu.corpus_chrf(translations, [references]).score
|
18 |
|
19 |
def calculate_bertscore(translations, references, lang):
|
20 |
+
P, R, F1 = bert_score(translations, references, lang=lang, device='cpu')
|
21 |
return F1.mean().item()
|
22 |
|
23 |
def tokenize_chinese(text):
|
|
|
28 |
|
29 |
languages = {
|
30 |
"English": "en", "Chinese": "zh", "French": "fr", "German": "de", "Spanish": "es",
|
31 |
+
"Japanese": "ja", "Korean": "ko", "Arabic": "ar", "Italian": "it",
|
32 |
+
"Dutch": "nl", "Portuguese": "pt", "Russian": "ru"
|
|
|
|
|
|
|
33 |
}
|
34 |
|
35 |
source_lang = st.selectbox("Select Source Language", list(languages.keys()))
|
36 |
target_lang = st.selectbox("Select Target Language", list(languages.keys()))
|
37 |
|
38 |
+
source_lang_code = languages[source_lang]
|
39 |
+
target_lang_code = languages[target_lang]
|
40 |
|
41 |
translation_input = st.text_area("Translated Text", height=200)
|
42 |
reference_input = st.text_area("Reference Translation", height=200)
|
|
|
56 |
else:
|
57 |
references = [reference_input.strip()]
|
58 |
|
59 |
+
st.write("Calculating scores...")
|
|
|
|
|
|
|
|
|
60 |
|
61 |
bleu_score = calculate_bleu(translations, references)
|
|
|
|
|
62 |
ter_score = calculate_ter(translations, references)
|
|
|
|
|
63 |
chrf_score = calculate_chrf(translations, references)
|
|
|
|
|
64 |
bertscore = calculate_bertscore(translations, references, target_lang_code)
|
|
|
65 |
|
66 |
+
st.write("Evaluation Scores:")
|
67 |
st.write(f"**BLEU Score:** {bleu_score:.2f}")
|
68 |
st.write(f"**TER Score:** {ter_score:.2f}")
|
69 |
st.write(f"**CHRF Score:** {chrf_score:.2f}")
|
|
|
71 |
|
72 |
except Exception as e:
|
73 |
st.error(f"An error occurred: {str(e)}")
|
|
|
|
|
74 |
else:
|
75 |
+
st.error("Please provide both translated text and reference translation.")
|
|
|
|