Spaces:
Running
Running
Commit
·
b90039b
1
Parent(s):
2e98ea4
add of t5
Browse files- app.py +99 -0
- requirements.txt +4 -0
app.py
ADDED
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import T5ForConditionalGeneration, T5Tokenizer
|
3 |
+
|
4 |
+
# Initialize T5 model and tokenizer
|
5 |
+
model_name = "google-t5/t5-base"
|
6 |
+
tokenizer = T5Tokenizer.from_pretrained(model_name)
|
7 |
+
model = T5ForConditionalGeneration.from_pretrained(model_name)
|
8 |
+
|
9 |
+
# Language codes for T5
|
10 |
+
language_codes = {
|
11 |
+
"English": "en",
|
12 |
+
"French": "fr",
|
13 |
+
"Japanese": "ja",
|
14 |
+
"Spanish": "es",
|
15 |
+
"Mandarin": "zh"
|
16 |
+
}
|
17 |
+
|
18 |
+
def translate(text, source_lang, target_lang):
|
19 |
+
"""Translate text using T5 model"""
|
20 |
+
if not text:
|
21 |
+
return ""
|
22 |
+
|
23 |
+
if source_lang == target_lang:
|
24 |
+
return text
|
25 |
+
|
26 |
+
source_code = language_codes[source_lang]
|
27 |
+
target_code = language_codes[target_lang]
|
28 |
+
|
29 |
+
# Format input for T5 (needs to be in format: "translate {source} to {target}: {text}")
|
30 |
+
input_text = f"translate {source_code} to {target_code}: {text}"
|
31 |
+
|
32 |
+
# Tokenize and generate translation
|
33 |
+
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
|
34 |
+
outputs = model.generate(input_ids, max_length=512)
|
35 |
+
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
36 |
+
|
37 |
+
return translation
|
38 |
+
|
39 |
+
# Example texts in different languages
|
40 |
+
examples = {
|
41 |
+
"English": ["Hello, how are you today?", "I would like to visit Japan someday."],
|
42 |
+
"French": ["Bonjour, comment allez-vous aujourd'hui?", "J'aimerais visiter le Japon un jour."],
|
43 |
+
"Japanese": ["こんにちは、今日はお元気ですか?", "いつか日本を訪れたいです。"],
|
44 |
+
"Spanish": ["Hola, ¿cómo estás hoy?", "Me gustaría visitar Japón algún día."],
|
45 |
+
"Mandarin": ["你好,今天好吗?", "我希望有一天能去日本。"]
|
46 |
+
}
|
47 |
+
|
48 |
+
# Create Gradio interface
|
49 |
+
with gr.Blocks() as demo:
|
50 |
+
gr.Markdown("# Multilingual Translation with T5")
|
51 |
+
|
52 |
+
with gr.Row():
|
53 |
+
source_lang = gr.Dropdown(
|
54 |
+
choices=list(language_codes.keys()),
|
55 |
+
label="Source Language",
|
56 |
+
value="English"
|
57 |
+
)
|
58 |
+
target_lang = gr.Dropdown(
|
59 |
+
choices=list(language_codes.keys()),
|
60 |
+
label="Target Language",
|
61 |
+
value="French"
|
62 |
+
)
|
63 |
+
|
64 |
+
with gr.Row():
|
65 |
+
with gr.Column():
|
66 |
+
source_text = gr.Textbox(label="Source Text", lines=5)
|
67 |
+
translate_btn = gr.Button(value="Translate")
|
68 |
+
|
69 |
+
with gr.Column():
|
70 |
+
target_text = gr.Textbox(label="Translation Result", lines=5)
|
71 |
+
|
72 |
+
# Set up examples based on source language
|
73 |
+
example_list = gr.Examples(
|
74 |
+
examples=examples["English"],
|
75 |
+
inputs=source_text
|
76 |
+
)
|
77 |
+
|
78 |
+
# Update examples when source language changes
|
79 |
+
def update_examples(lang):
|
80 |
+
return gr.Examples.update(examples=examples.get(lang, examples["English"]))
|
81 |
+
|
82 |
+
source_lang.change(update_examples, inputs=source_lang, outputs=example_list)
|
83 |
+
|
84 |
+
# Set up translation function
|
85 |
+
translate_btn.click(
|
86 |
+
translate,
|
87 |
+
inputs=[source_text, source_lang, target_lang],
|
88 |
+
outputs=target_text
|
89 |
+
)
|
90 |
+
|
91 |
+
# Also translate when Enter is pressed in the source text box
|
92 |
+
source_text.submit(
|
93 |
+
translate,
|
94 |
+
inputs=[source_text, source_lang, target_lang],
|
95 |
+
outputs=target_text
|
96 |
+
)
|
97 |
+
|
98 |
+
if __name__ == "__main__":
|
99 |
+
demo.launch()
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
gradio>=3.50.2
|
2 |
+
transformers>=4.35.0
|
3 |
+
torch>=2.0.0
|
4 |
+
sentencepiece>=0.1.99
|