entropy25 commited on
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40e753d
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1 Parent(s): 070850f

Update app.py

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  1. app.py +56 -126
app.py CHANGED
@@ -3,84 +3,72 @@ import torch
3
  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
4
  from peft import PeftModel
5
 
6
- # 基础模型
7
  base_model_name = "facebook/nllb-200-distilled-600M"
8
-
9
- # 两个适配器模型
10
  adapter_en_to_no = "entropy25/mt_en_no_oil"
11
  adapter_no_to_en = "entropy25/mt_no_en_oil"
12
 
13
- # 加载 tokenizer
14
  tokenizer = AutoTokenizer.from_pretrained(base_model_name)
15
 
16
- # 方法1:为每个方向加载独立的基础模型
17
- print("Loading English to Norwegian model...")
18
- base_model_en_to_no = AutoModelForSeq2SeqLM.from_pretrained(
19
  base_model_name,
20
  torch_dtype=torch.float16,
21
  low_cpu_mem_usage=True,
22
  device_map="auto"
23
  )
24
- model_en_to_no = PeftModel.from_pretrained(base_model_en_to_no, adapter_en_to_no)
25
 
26
- print("Loading Norwegian to English model...")
27
- base_model_no_to_en = AutoModelForSeq2SeqLM.from_pretrained(
28
- base_model_name,
29
- torch_dtype=torch.float16,
30
- low_cpu_mem_usage=True,
31
- device_map="auto"
32
- )
33
- model_no_to_en = PeftModel.from_pretrained(base_model_no_to_en, adapter_no_to_en)
34
 
35
  def translate(text, source_lang, target_lang):
36
- if not text.strip():
37
- return ""
38
-
39
- if source_lang == target_lang:
40
  return text
41
 
42
- # 选择正确的模型和语言代码
43
  if source_lang == "English" and target_lang == "Norwegian":
44
- model = model_en_to_no
45
- src_code = "eng_Latn"
46
- tgt_code = "nob_Latn"
47
  elif source_lang == "Norwegian" and target_lang == "English":
48
- model = model_no_to_en
49
- src_code = "nob_Latn"
50
- tgt_code = "eng_Latn"
51
  else:
52
  return "Unsupported language pair"
53
 
54
- # 按行翻译
55
- sentences = text.split('\n')
56
- translated_sentences = []
57
 
58
- for sentence in sentences:
59
- if not sentence.strip():
60
- translated_sentences.append("")
61
- continue
62
-
63
- inputs = tokenizer(
64
- sentence,
65
- return_tensors="pt",
66
- truncation=True,
67
- max_length=512
68
- )
69
-
70
- if hasattr(model, 'device'):
71
- inputs = {k: v.to(model.device) for k, v in inputs.items()}
72
-
73
- outputs = model.generate(
74
- **inputs,
75
- forced_bos_token_id=tokenizer.convert_tokens_to_ids(tgt_code),
76
- max_length=512,
77
- num_beams=5
78
- )
79
-
80
- result = tokenizer.decode(outputs[0], skip_special_tokens=True)
81
- translated_sentences.append(result)
 
 
 
 
 
 
82
 
83
- return '\n'.join(translated_sentences)
84
 
85
  def swap_languages(src, tgt, input_txt, output_txt):
86
  return tgt, src, output_txt, input_txt
@@ -88,7 +76,6 @@ def swap_languages(src, tgt, input_txt, output_txt):
88
  def load_file(file):
89
  if file is None:
90
  return ""
91
-
92
  try:
93
  with open(file.name, 'r', encoding='utf-8') as f:
94
  return f.read()
@@ -99,54 +86,43 @@ def load_file(file):
99
  except Exception as e:
100
  return f"Error reading file: {str(e)}"
101
 
102
- # 英语示例
103
  EXAMPLES_EN = {
104
  "drilling_short": "Mud weight adjusted to 1.82 specific gravity at 3,247 meters depth.",
105
  "drilling_long": "The drilling operation at well site A-15 encountered unexpected high-pressure zones at 3,247 meters depth, requiring immediate adjustment of mud weight from 1.65 to 1.82 specific gravity to maintain wellbore stability and prevent potential kicks.",
106
-
107
  "reservoir_short": "Permeability is 250 millidarcy with 22 percent porosity.",
108
  "reservoir_long": "The reservoir shows excellent permeability of 250 millidarcy and porosity of 22 percent based on core analysis, indicating significant hydrocarbon potential with estimated oil saturation of 65 percent.",
109
-
110
  "subsea_short": "Christmas tree rated for 10,000 psi working pressure.",
111
  "subsea_long": "The subsea production system consists of a vertical Christmas tree rated for 10,000 psi working pressure and 150 degrees Celsius temperature, equipped with redundant safety features including automatic shutdown valves and real-time pressure monitoring systems.",
112
-
113
  "seismic_short": "Structural trap area estimated at 12 square kilometers.",
114
  "seismic_long": "Seismic data confirms the presence of a structural trap with an estimated area of 12 square kilometers, and productivity tests show stabilized oil production of 3,400 barrels per day at optimization pressure of 2,100 psi.",
115
-
116
  "safety_short": "H2S training required before site access.",
117
  "safety_long": "Emergency response procedures require all personnel to complete H2S safety training before site access, with breathing apparatus and wind indicators positioned at designated muster points, and immediate evacuation protocols activated when gas detection exceeds 10 ppm concentration levels."
118
  }
119
 
120
- # 挪威语示例
121
  EXAMPLES_NO = {
122
  "drilling_short": "Slamvekt justert til 1,82 spesifikk tyngde ved 3 247 meters dybde.",
123
  "drilling_long": "Boreoperasjonen ved brønnsted A-15 støtte på uventede høytrykksoner ved 3 247 meters dybde, noe som krevde umiddelbar justering av slamvekt fra 1,65 til 1,82 spesifikk tyngde for å opprettholde brønnborestabilitet og forhindre potensielle kicks.",
124
-
125
  "reservoir_short": "Permeabilitet er 250 millidarcy med 22 prosent porøsitet.",
126
  "reservoir_long": "Reservoaret viser utmerket permeabilitet på 250 millidarcy og porøsitet på 22 prosent basert på kjerneanalyse, noe som indikerer betydelig hydrokarbonpotensial med estimert oljemetning på 65 prosent.",
127
-
128
  "subsea_short": "Juletre dimensjonert for 10 000 psi arbeidstrykk.",
129
  "subsea_long": "Subsea produksjonssystemet består av et vertikalt juletre dimensjonert for 10 000 psi arbeidstrykk og 150 grader Celsius temperatur, utstyrt med redundante sikkerhetsfunksjoner inkludert automatiske nedstengningsventiler og sanntids trykkmonitorering.",
130
-
131
  "seismic_short": "Strukturell felle estimert til 12 kvadratkilometer.",
132
  "seismic_long": "Seismiske data bekrefter tilstedeværelsen av en strukturell felle med estimert areal på 12 kvadratkilometer, og produktivitetstester viser stabilisert oljeproduksjon på 3 400 fat per dag ved optimaliseringstrykk på 2 100 psi.",
133
-
134
  "safety_short": "H2S-opplæring påkrevd før tilgang til området.",
135
  "safety_long": "Nødprosedyrer krever at alt personell fullfører H2S-sikkerhetsopplæring før områdetilgang, med åndedrettsutstyr og vindindikatorer plassert ved utpekte samlingspunkter, og umiddelbare evakueringsprotokoller aktiveres når gassdeteksjon overskrider 10 ppm konsentrasjonsnivå."
136
  }
137
 
138
  def get_examples(source_lang):
139
- """根据源语言返回对应的示例"""
140
- if source_lang == "English":
141
- return EXAMPLES_EN
142
- else:
143
- return EXAMPLES_NO
144
 
145
  def update_example_buttons(source_lang):
146
- """当语言改变时更新示例"""
147
  examples = get_examples(source_lang)
148
  return examples["drilling_short"]
149
 
 
 
 
 
150
  custom_css = """
151
  .gradio-container {
152
  max-width: 1100px !important;
@@ -214,7 +190,6 @@ custom_css = """
214
  """
215
 
216
  with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
217
-
218
  gr.HTML("<div style='height: 20px'></div>")
219
 
220
  with gr.Row():
@@ -229,7 +204,6 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
229
  elem_classes="lang-selector",
230
  scale=1
231
  )
232
-
233
  input_text = gr.Textbox(
234
  placeholder="Type to translate",
235
  show_label=False,
@@ -254,7 +228,6 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
254
  elem_classes="lang-selector",
255
  scale=1
256
  )
257
-
258
  output_text = gr.Textbox(
259
  placeholder="Translation",
260
  show_label=False,
@@ -265,11 +238,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
265
  interactive=False
266
  )
267
 
268
- gr.HTML(
269
- "<div class='footer-info'>"
270
- "Oil & Gas Translation • English ↔ Norwegian • Bidirectional Model"
271
- "</div>"
272
- )
273
 
274
  with gr.Accordion("Example Sentences", open=True):
275
  with gr.Row():
@@ -296,11 +265,6 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
296
  btn9 = gr.Button("Safety (Short)", size="sm")
297
  btn10 = gr.Button("Safety (Long)", size="sm")
298
 
299
- # 为每个按钮设置点击事件,根据当前源语言选择示例
300
- def get_example(key, source_lang):
301
- examples = get_examples(source_lang)
302
- return examples[key]
303
-
304
  btn1.click(lambda sl: get_example("drilling_short", sl), inputs=[source_lang], outputs=example_text)
305
  btn2.click(lambda sl: get_example("drilling_long", sl), inputs=[source_lang], outputs=example_text)
306
  btn3.click(lambda sl: get_example("reservoir_short", sl), inputs=[source_lang], outputs=example_text)
@@ -312,11 +276,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
312
  btn9.click(lambda sl: get_example("safety_short", sl), inputs=[source_lang], outputs=example_text)
313
  btn10.click(lambda sl: get_example("safety_long", sl), inputs=[source_lang], outputs=example_text)
314
 
315
- use_example_btn.click(
316
- fn=lambda x: x,
317
- inputs=example_text,
318
- outputs=input_text
319
- )
320
 
321
  with gr.Accordion("Upload Text File", open=False):
322
  file_input = gr.File(
@@ -325,41 +285,11 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
325
  type="filepath"
326
  )
327
 
328
- # 当源语言改变时,更新示例显示
329
- source_lang.change(
330
- fn=update_example_buttons,
331
- inputs=[source_lang],
332
- outputs=[example_text]
333
- )
334
-
335
- input_text.change(
336
- fn=translate,
337
- inputs=[input_text, source_lang, target_lang],
338
- outputs=output_text
339
- )
340
-
341
- source_lang.change(
342
- fn=translate,
343
- inputs=[input_text, source_lang, target_lang],
344
- outputs=output_text
345
- )
346
-
347
- target_lang.change(
348
- fn=translate,
349
- inputs=[input_text, source_lang, target_lang],
350
- outputs=output_text
351
- )
352
-
353
- swap_btn.click(
354
- fn=swap_languages,
355
- inputs=[source_lang, target_lang, input_text, output_text],
356
- outputs=[source_lang, target_lang, input_text, output_text]
357
- )
358
-
359
- file_input.change(
360
- fn=load_file,
361
- inputs=file_input,
362
- outputs=input_text
363
- )
364
 
365
  demo.launch()
 
3
  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
4
  from peft import PeftModel
5
 
 
6
  base_model_name = "facebook/nllb-200-distilled-600M"
 
 
7
  adapter_en_to_no = "entropy25/mt_en_no_oil"
8
  adapter_no_to_en = "entropy25/mt_no_en_oil"
9
 
 
10
  tokenizer = AutoTokenizer.from_pretrained(base_model_name)
11
 
12
+ print("Loading shared base model...")
13
+ base_model = AutoModelForSeq2SeqLM.from_pretrained(
 
14
  base_model_name,
15
  torch_dtype=torch.float16,
16
  low_cpu_mem_usage=True,
17
  device_map="auto"
18
  )
 
19
 
20
+ print("Loading adapters...")
21
+ model = PeftModel.from_pretrained(base_model, adapter_en_to_no, adapter_name="en_to_no")
22
+ model.load_adapter(adapter_no_to_en, adapter_name="no_to_en")
 
 
 
 
 
23
 
24
  def translate(text, source_lang, target_lang):
25
+ if not text.strip() or source_lang == target_lang:
 
 
 
26
  return text
27
 
 
28
  if source_lang == "English" and target_lang == "Norwegian":
29
+ model.set_adapter("en_to_no")
30
+ src_code, tgt_code = "eng_Latn", "nob_Latn"
 
31
  elif source_lang == "Norwegian" and target_lang == "English":
32
+ model.set_adapter("no_to_en")
33
+ src_code, tgt_code = "nob_Latn", "eng_Latn"
 
34
  else:
35
  return "Unsupported language pair"
36
 
37
+ lines = text.split('\n')
38
+ non_empty_lines = [line for line in lines if line.strip()]
 
39
 
40
+ if not non_empty_lines:
41
+ return text
42
+
43
+ inputs = tokenizer(
44
+ non_empty_lines,
45
+ return_tensors="pt",
46
+ padding=True,
47
+ truncation=True,
48
+ max_length=512
49
+ )
50
+
51
+ if hasattr(model, 'device'):
52
+ inputs = {k: v.to(model.device) for k, v in inputs.items()}
53
+
54
+ outputs = model.generate(
55
+ **inputs,
56
+ forced_bos_token_id=tokenizer.convert_tokens_to_ids(tgt_code),
57
+ max_length=512,
58
+ num_beams=3
59
+ )
60
+
61
+ results = tokenizer.batch_decode(outputs, skip_special_tokens=True)
62
+
63
+ result_iter = iter(results)
64
+ final_lines = []
65
+ for line in lines:
66
+ if line.strip():
67
+ final_lines.append(next(result_iter))
68
+ else:
69
+ final_lines.append("")
70
 
71
+ return '\n'.join(final_lines)
72
 
73
  def swap_languages(src, tgt, input_txt, output_txt):
74
  return tgt, src, output_txt, input_txt
 
76
  def load_file(file):
77
  if file is None:
78
  return ""
 
79
  try:
80
  with open(file.name, 'r', encoding='utf-8') as f:
81
  return f.read()
 
86
  except Exception as e:
87
  return f"Error reading file: {str(e)}"
88
 
 
89
  EXAMPLES_EN = {
90
  "drilling_short": "Mud weight adjusted to 1.82 specific gravity at 3,247 meters depth.",
91
  "drilling_long": "The drilling operation at well site A-15 encountered unexpected high-pressure zones at 3,247 meters depth, requiring immediate adjustment of mud weight from 1.65 to 1.82 specific gravity to maintain wellbore stability and prevent potential kicks.",
 
92
  "reservoir_short": "Permeability is 250 millidarcy with 22 percent porosity.",
93
  "reservoir_long": "The reservoir shows excellent permeability of 250 millidarcy and porosity of 22 percent based on core analysis, indicating significant hydrocarbon potential with estimated oil saturation of 65 percent.",
 
94
  "subsea_short": "Christmas tree rated for 10,000 psi working pressure.",
95
  "subsea_long": "The subsea production system consists of a vertical Christmas tree rated for 10,000 psi working pressure and 150 degrees Celsius temperature, equipped with redundant safety features including automatic shutdown valves and real-time pressure monitoring systems.",
 
96
  "seismic_short": "Structural trap area estimated at 12 square kilometers.",
97
  "seismic_long": "Seismic data confirms the presence of a structural trap with an estimated area of 12 square kilometers, and productivity tests show stabilized oil production of 3,400 barrels per day at optimization pressure of 2,100 psi.",
 
98
  "safety_short": "H2S training required before site access.",
99
  "safety_long": "Emergency response procedures require all personnel to complete H2S safety training before site access, with breathing apparatus and wind indicators positioned at designated muster points, and immediate evacuation protocols activated when gas detection exceeds 10 ppm concentration levels."
100
  }
101
 
 
102
  EXAMPLES_NO = {
103
  "drilling_short": "Slamvekt justert til 1,82 spesifikk tyngde ved 3 247 meters dybde.",
104
  "drilling_long": "Boreoperasjonen ved brønnsted A-15 støtte på uventede høytrykksoner ved 3 247 meters dybde, noe som krevde umiddelbar justering av slamvekt fra 1,65 til 1,82 spesifikk tyngde for å opprettholde brønnborestabilitet og forhindre potensielle kicks.",
 
105
  "reservoir_short": "Permeabilitet er 250 millidarcy med 22 prosent porøsitet.",
106
  "reservoir_long": "Reservoaret viser utmerket permeabilitet på 250 millidarcy og porøsitet på 22 prosent basert på kjerneanalyse, noe som indikerer betydelig hydrokarbonpotensial med estimert oljemetning på 65 prosent.",
 
107
  "subsea_short": "Juletre dimensjonert for 10 000 psi arbeidstrykk.",
108
  "subsea_long": "Subsea produksjonssystemet består av et vertikalt juletre dimensjonert for 10 000 psi arbeidstrykk og 150 grader Celsius temperatur, utstyrt med redundante sikkerhetsfunksjoner inkludert automatiske nedstengningsventiler og sanntids trykkmonitorering.",
 
109
  "seismic_short": "Strukturell felle estimert til 12 kvadratkilometer.",
110
  "seismic_long": "Seismiske data bekrefter tilstedeværelsen av en strukturell felle med estimert areal på 12 kvadratkilometer, og produktivitetstester viser stabilisert oljeproduksjon på 3 400 fat per dag ved optimaliseringstrykk på 2 100 psi.",
 
111
  "safety_short": "H2S-opplæring påkrevd før tilgang til området.",
112
  "safety_long": "Nødprosedyrer krever at alt personell fullfører H2S-sikkerhetsopplæring før områdetilgang, med åndedrettsutstyr og vindindikatorer plassert ved utpekte samlingspunkter, og umiddelbare evakueringsprotokoller aktiveres når gassdeteksjon overskrider 10 ppm konsentrasjonsnivå."
113
  }
114
 
115
  def get_examples(source_lang):
116
+ return EXAMPLES_EN if source_lang == "English" else EXAMPLES_NO
 
 
 
 
117
 
118
  def update_example_buttons(source_lang):
 
119
  examples = get_examples(source_lang)
120
  return examples["drilling_short"]
121
 
122
+ def get_example(key, source_lang):
123
+ examples = get_examples(source_lang)
124
+ return examples[key]
125
+
126
  custom_css = """
127
  .gradio-container {
128
  max-width: 1100px !important;
 
190
  """
191
 
192
  with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
 
193
  gr.HTML("<div style='height: 20px'></div>")
194
 
195
  with gr.Row():
 
204
  elem_classes="lang-selector",
205
  scale=1
206
  )
 
207
  input_text = gr.Textbox(
208
  placeholder="Type to translate",
209
  show_label=False,
 
228
  elem_classes="lang-selector",
229
  scale=1
230
  )
 
231
  output_text = gr.Textbox(
232
  placeholder="Translation",
233
  show_label=False,
 
238
  interactive=False
239
  )
240
 
241
+ gr.HTML("<div class='footer-info'>Oil & Gas Translation • English ↔ Norwegian • Bidirectional Model</div>")
 
 
 
 
242
 
243
  with gr.Accordion("Example Sentences", open=True):
244
  with gr.Row():
 
265
  btn9 = gr.Button("Safety (Short)", size="sm")
266
  btn10 = gr.Button("Safety (Long)", size="sm")
267
 
 
 
 
 
 
268
  btn1.click(lambda sl: get_example("drilling_short", sl), inputs=[source_lang], outputs=example_text)
269
  btn2.click(lambda sl: get_example("drilling_long", sl), inputs=[source_lang], outputs=example_text)
270
  btn3.click(lambda sl: get_example("reservoir_short", sl), inputs=[source_lang], outputs=example_text)
 
276
  btn9.click(lambda sl: get_example("safety_short", sl), inputs=[source_lang], outputs=example_text)
277
  btn10.click(lambda sl: get_example("safety_long", sl), inputs=[source_lang], outputs=example_text)
278
 
279
+ use_example_btn.click(fn=lambda x: x, inputs=example_text, outputs=input_text)
 
 
 
 
280
 
281
  with gr.Accordion("Upload Text File", open=False):
282
  file_input = gr.File(
 
285
  type="filepath"
286
  )
287
 
288
+ source_lang.change(fn=update_example_buttons, inputs=[source_lang], outputs=[example_text])
289
+ input_text.change(fn=translate, inputs=[input_text, source_lang, target_lang], outputs=output_text)
290
+ source_lang.change(fn=translate, inputs=[input_text, source_lang, target_lang], outputs=output_text)
291
+ target_lang.change(fn=translate, inputs=[input_text, source_lang, target_lang], outputs=output_text)
292
+ swap_btn.click(fn=swap_languages, inputs=[source_lang, target_lang, input_text, output_text], outputs=[source_lang, target_lang, input_text, output_text])
293
+ file_input.change(fn=load_file, inputs=file_input, outputs=input_text)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
294
 
295
  demo.launch()