Spaces:
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coroianpetruta
commited on
Commit
•
50b88d8
1
Parent(s):
fa06ccb
Gradio blocks interface
Browse files- app.py +75 -13
- requirements.txt +2 -1
app.py
CHANGED
@@ -1,8 +1,8 @@
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# AUTOGENERATED! DO NOT EDIT! File to edit: enro-app.ipynb.
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# %% auto 0
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__all__ = ['model_name', 'tokenizer', 'model', '
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'
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# %% enro-app.ipynb 1
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from transformers import MarianMTModel, MarianTokenizer
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model = MarianMTModel.from_pretrained(model_name)
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# %% enro-app.ipynb 3
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def get_translations(input_text):
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tokenized_text = tokenizer(input_text, return_tensors="pt")
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# Generate multiple translations
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# Set num_return_sequences to the number of translations you want
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translated = model.generate(**tokenized_text, num_return_sequences=4)
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translations = []
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for t in translated:
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translations.append(tokenizer.decode(t, skip_special_tokens=True))
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return
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# %% enro-app.ipynb 5
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-
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# AUTOGENERATED! DO NOT EDIT! File to edit: enro-app.ipynb.
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# %% auto 0
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__all__ = ['model_name', 'tokenizer', 'model', 'example_translations', 'encoded_key', 'decoded_bytes', 'firebase_creds',
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'get_translations', 'save_option_to_repo', 'get_random_sentence', 'update_prompt']
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# %% enro-app.ipynb 1
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from transformers import MarianMTModel, MarianTokenizer
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model = MarianMTModel.from_pretrained(model_name)
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# %% enro-app.ipynb 3
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import random
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def get_translations(input_text):
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tokenized_text = tokenizer(input_text, return_tensors="pt")
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# Generate multiple translations
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# Set num_return_sequences to the number of translations you want
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translated = model.generate(**tokenized_text, num_return_sequences=4)
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translations = []
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for t in translated:
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translations.append(tokenizer.decode(t, skip_special_tokens=True))
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random_translations = random.sample(translations, 2)
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return random_translations[0], random_translations[1]
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# %% enro-app.ipynb 5
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example_translations = ["What is the way to get to the mosque?",
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"Practice makes perfect.",
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"The cat is eating the small mouse.",
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"I'm not good at learning foreign languages.",
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"What do you mean you don't know?",
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"I should have sent a letter of apology.",
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"His handwriting is poor.",
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"He bowed his head."]
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# %% enro-app.ipynb 6
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import os
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import firebase_admin
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from firebase_admin import credentials
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from firebase_admin import db
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import json
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import base64
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encoded_key = os.getenv('FIREBASE_KEY')
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decoded_bytes = base64.b64decode(encoded_key)
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firebase_creds = json.loads(decoded_bytes.decode('utf-8'))
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if not firebase_admin._apps:
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cred = credentials.Certificate(firebase_creds)
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firebase_admin.initialize_app(cred, {
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'databaseURL': 'https://ro-en-llm-default-rtdb.firebaseio.com/'
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})
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# %% enro-app.ipynb 7
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def save_option_to_repo(trans_prompt, translation1, translation2, button):
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ref = db.reference('feedback')
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# Push new data to the database
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ref.push({
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'prompt': trans_prompt,
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'translation_1': translation1,
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'translation_2': translation2,
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'feedback': button
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})
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def get_random_sentence():
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return random.sample(example_translations, 1)[0]
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def update_prompt():
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prompt.change(value=get_random_sentence())
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with gr.Blocks() as demo:
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translations = []
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option_buttons = []
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with gr.Row():
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prompt = gr.components.Textbox(scale = 4)
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example_sentence = gr.Button("Get Random Sentence", scale = 1)
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with gr.Row():
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generate = gr.Button("Translate")
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with gr.Row(equal_height=True):
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translations.append(gr.components.Text(label=f"Translation 1"))
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translations.append(gr.components.Text(label=f"Translation 2"))
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with gr.Row():
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option_buttons.append(gr.Button(value="Translation 1"))
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option_buttons.append(gr.Button(value="Equal"))
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option_buttons.append(gr.Button(value="Translation 2"))
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generate.click(get_translations, inputs=prompt, outputs=translations)
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example_sentence.click(get_random_sentence, outputs=prompt)
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for i in range(0,3):
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option_buttons[i].click(save_option_to_repo, inputs=[prompt, translations[0], translations[1], option_buttons[i]])
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demo.launch()
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requirements.txt
CHANGED
@@ -1,3 +1,4 @@
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transformers
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SentencePiece
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-
torch
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transformers
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SentencePiece
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torch
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firebase-admin
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