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ilhamsyahids
commited on
Commit
·
afb6c6a
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Parent(s):
2cc827f
init gradio application
Browse filesSigned-off-by: Ilham Syahid S <ilhamsyahids@gmail.com>
- .vscode/settings.json +6 -0
- app.py +95 -0
- flores200_codes.py +213 -0
- requirements.txt +3 -0
.vscode/settings.json
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{
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"[python]": {
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"editor.defaultFormatter": "ms-python.black-formatter"
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},
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"python.formatting.provider": "none"
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}
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app.py
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import gradio as gr
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import time
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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from flores200_codes import flores_codes
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def load_models():
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# build model and tokenizer
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model_name_dict = {
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"nllb-distilled-600M": "facebook/nllb-200-distilled-600M",
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"nllb-distilled-1.3B": "facebook/nllb-200-distilled-1.3B",
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"nllb-1.3B": "facebook/nllb-200-1.3B",
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"nllb-3.3B": "facebook/nllb-200-3.3B",
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}
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model_dict = {}
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for call_name, real_name in model_name_dict.items():
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print("\tLoading model: %s" % call_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(real_name)
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tokenizer = AutoTokenizer.from_pretrained(real_name)
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model_dict[call_name + "_model"] = model
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model_dict[call_name + "_tokenizer"] = tokenizer
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return model_dict
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def translation(model_name, source, target, text):
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start_time = time.time()
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source = flores_codes[source]
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target = flores_codes[target]
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model = model_dict[model_name + "_model"]
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tokenizer = model_dict[model_name + "_tokenizer"]
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translator = pipeline(
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"translation",
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model=model,
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tokenizer=tokenizer,
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src_lang=source,
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tgt_lang=target,
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)
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output = translator(text, max_length=400)
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end_time = time.time()
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full_output = output
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output = output[0]["translation_text"]
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result = {
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"inference_time": end_time - start_time,
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"source": source,
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"target": target,
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"result": output,
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"full_output": full_output,
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}
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return result
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if __name__ == "__main__":
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print("\tinit models")
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global model_dict
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model_dict = load_models()
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# define gradio demo
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lang_codes = list(flores_codes.keys())
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inputs = [
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gr.inputs.Radio(
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["nllb-distilled-600M", "nllb-distilled-1.3B", "nllb-1.3B", "nllb-3.3B"],
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label="NLLB Model",
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default="nllb-distilled-600M",
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),
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gr.inputs.Dropdown(lang_codes, default="Najdi Arabic", label="Source"),
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gr.inputs.Dropdown(lang_codes, default="English", label="Target"),
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gr.inputs.Textbox(lines=5, label="Input text"),
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]
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outputs = gr.outputs.JSON()
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title = "NLLB (No Language Left Behind) demo"
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demo_status = "Demo is running on CPU"
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description = f"Using NLLB model, details: https://github.com/facebookresearch/fairseq/tree/nllb. {demo_status}"
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examples = [["nllb-3.3B", "Najdi Arabic", "English", "جلست اطفال"]]
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gr.Interface(
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translation,
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inputs,
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outputs,
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title=title,
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description=description,
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examples=examples,
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examples_per_page=50,
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).launch()
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flores200_codes.py
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# Description: Contains a dictionary of the languages in the Flores dataset and their corresponding codes.
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codes_as_string = """Acehnese (Arabic script) ace_Arab
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Acehnese (Latin script) ace_Latn
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Mesopotamian Arabic acm_Arab
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Ta’izzi-Adeni Arabic acq_Arab
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Tunisian Arabic aeb_Arab
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Afrikaans afr_Latn
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South Levantine Arabic ajp_Arab
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Akan aka_Latn
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Amharic amh_Ethi
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North Levantine Arabic apc_Arab
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Modern Standard Arabic arb_Arab
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Modern Standard Arabic (Romanized) arb_Latn
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Najdi Arabic ars_Arab
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Moroccan Arabic ary_Arab
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Egyptian Arabic arz_Arab
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Assamese asm_Beng
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Asturian ast_Latn
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Awadhi awa_Deva
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Central Aymara ayr_Latn
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South Azerbaijani azb_Arab
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North Azerbaijani azj_Latn
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Bashkir bak_Cyrl
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Bambara bam_Latn
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Balinese ban_Latn
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Belarusian bel_Cyrl
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Bemba bem_Latn
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Bengali ben_Beng
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Bhojpuri bho_Deva
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Banjar (Arabic script) bjn_Arab
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Banjar (Latin script) bjn_Latn
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Standard Tibetan bod_Tibt
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Bosnian bos_Latn
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Buginese bug_Latn
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Bulgarian bul_Cyrl
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Catalan cat_Latn
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Cebuano ceb_Latn
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Czech ces_Latn
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Chokwe cjk_Latn
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Central Kurdish ckb_Arab
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Crimean Tatar crh_Latn
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Welsh cym_Latn
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Danish dan_Latn
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German deu_Latn
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Southwestern Dinka dik_Latn
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Dyula dyu_Latn
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Dzongkha dzo_Tibt
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Greek ell_Grek
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English eng_Latn
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Esperanto epo_Latn
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Estonian est_Latn
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Basque eus_Latn
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Ewe ewe_Latn
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Faroese fao_Latn
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Fijian fij_Latn
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Finnish fin_Latn
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Fon fon_Latn
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French fra_Latn
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Friulian fur_Latn
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Nigerian Fulfulde fuv_Latn
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Scottish Gaelic gla_Latn
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Irish gle_Latn
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Galician glg_Latn
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Guarani grn_Latn
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Gujarati guj_Gujr
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Haitian Creole hat_Latn
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Hausa hau_Latn
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Hebrew heb_Hebr
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Hindi hin_Deva
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Chhattisgarhi hne_Deva
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Croatian hrv_Latn
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Hungarian hun_Latn
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Armenian hye_Armn
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Igbo ibo_Latn
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Ilocano ilo_Latn
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Indonesian ind_Latn
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Icelandic isl_Latn
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Italian ita_Latn
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Javanese jav_Latn
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Japanese jpn_Jpan
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Kabyle kab_Latn
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Jingpho kac_Latn
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Kamba kam_Latn
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Kannada kan_Knda
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Kashmiri (Arabic script) kas_Arab
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Kashmiri (Devanagari script) kas_Deva
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Georgian kat_Geor
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Central Kanuri (Arabic script) knc_Arab
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Central Kanuri (Latin script) knc_Latn
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Kazakh kaz_Cyrl
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Kabiyè kbp_Latn
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Kabuverdianu kea_Latn
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Khmer khm_Khmr
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Kikuyu kik_Latn
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Kinyarwanda kin_Latn
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Kyrgyz kir_Cyrl
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Kimbundu kmb_Latn
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Northern Kurdish kmr_Latn
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Kikongo kon_Latn
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Korean kor_Hang
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Lao lao_Laoo
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Ligurian lij_Latn
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Limburgish lim_Latn
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Lingala lin_Latn
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Lithuanian lit_Latn
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Lombard lmo_Latn
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Latgalian ltg_Latn
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Luxembourgish ltz_Latn
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Luba-Kasai lua_Latn
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Ganda lug_Latn
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Luo luo_Latn
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Mizo lus_Latn
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Standard Latvian lvs_Latn
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Magahi mag_Deva
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Maithili mai_Deva
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Malayalam mal_Mlym
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Marathi mar_Deva
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119 |
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Minangkabau (Arabic script) min_Arab
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120 |
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Minangkabau (Latin script) min_Latn
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121 |
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Macedonian mkd_Cyrl
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122 |
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Plateau Malagasy plt_Latn
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123 |
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Maltese mlt_Latn
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124 |
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Meitei (Bengali script) mni_Beng
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125 |
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Halh Mongolian khk_Cyrl
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126 |
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Mossi mos_Latn
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127 |
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Maori mri_Latn
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128 |
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Burmese mya_Mymr
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129 |
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Dutch nld_Latn
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130 |
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Norwegian Nynorsk nno_Latn
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131 |
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Norwegian Bokmål nob_Latn
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132 |
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Nepali npi_Deva
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133 |
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Northern Sotho nso_Latn
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134 |
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Nuer nus_Latn
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135 |
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Nyanja nya_Latn
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136 |
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Occitan oci_Latn
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137 |
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West Central Oromo gaz_Latn
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138 |
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Odia ory_Orya
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139 |
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Pangasinan pag_Latn
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140 |
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Eastern Panjabi pan_Guru
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141 |
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Papiamento pap_Latn
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142 |
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Western Persian pes_Arab
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143 |
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Polish pol_Latn
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144 |
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Portuguese por_Latn
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145 |
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Dari prs_Arab
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146 |
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Southern Pashto pbt_Arab
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147 |
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Ayacucho Quechua quy_Latn
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148 |
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Romanian ron_Latn
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149 |
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Rundi run_Latn
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150 |
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Russian rus_Cyrl
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151 |
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Sango sag_Latn
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152 |
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Sanskrit san_Deva
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153 |
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Santali sat_Olck
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154 |
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Sicilian scn_Latn
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155 |
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Shan shn_Mymr
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156 |
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Sinhala sin_Sinh
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157 |
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Slovak slk_Latn
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158 |
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Slovenian slv_Latn
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159 |
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Samoan smo_Latn
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160 |
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Shona sna_Latn
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161 |
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Sindhi snd_Arab
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162 |
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Somali som_Latn
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163 |
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Southern Sotho sot_Latn
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164 |
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Spanish spa_Latn
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165 |
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Tosk Albanian als_Latn
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166 |
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Sardinian srd_Latn
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167 |
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Serbian srp_Cyrl
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168 |
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Swati ssw_Latn
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169 |
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Sundanese sun_Latn
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170 |
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Swedish swe_Latn
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171 |
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Swahili swh_Latn
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172 |
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Silesian szl_Latn
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173 |
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Tamil tam_Taml
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174 |
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Tatar tat_Cyrl
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175 |
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Telugu tel_Telu
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176 |
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Tajik tgk_Cyrl
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177 |
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Tagalog tgl_Latn
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178 |
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Thai tha_Thai
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179 |
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Tigrinya tir_Ethi
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180 |
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Tamasheq (Latin script) taq_Latn
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181 |
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Tamasheq (Tifinagh script) taq_Tfng
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182 |
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Tok Pisin tpi_Latn
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183 |
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Tswana tsn_Latn
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184 |
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Tsonga tso_Latn
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185 |
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Turkmen tuk_Latn
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186 |
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Tumbuka tum_Latn
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187 |
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Turkish tur_Latn
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188 |
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Twi twi_Latn
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189 |
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Central Atlas Tamazight tzm_Tfng
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190 |
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Uyghur uig_Arab
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191 |
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Ukrainian ukr_Cyrl
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192 |
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Umbundu umb_Latn
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193 |
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Urdu urd_Arab
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194 |
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Northern Uzbek uzn_Latn
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195 |
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Venetian vec_Latn
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196 |
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Vietnamese vie_Latn
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197 |
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Waray war_Latn
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198 |
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Wolof wol_Latn
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199 |
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Xhosa xho_Latn
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200 |
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Eastern Yiddish ydd_Hebr
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201 |
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Yoruba yor_Latn
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202 |
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Yue Chinese yue_Hant
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203 |
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Chinese (Simplified) zho_Hans
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204 |
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Chinese (Traditional) zho_Hant
|
205 |
+
Standard Malay zsm_Latn
|
206 |
+
Zulu zul_Latn"""
|
207 |
+
|
208 |
+
codes_as_string = codes_as_string.split("\n")
|
209 |
+
|
210 |
+
flores_codes = {}
|
211 |
+
for code in codes_as_string:
|
212 |
+
lang, lang_code = code.split("\t")
|
213 |
+
flores_codes[lang] = lang_code
|
requirements.txt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
git+https://github.com/huggingface/transformers
|
2 |
+
gradio
|
3 |
+
torch
|