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README.md

@@ -1,10 +1,10 @@
 ---
-title: Aittranslator
-emoji: 😻
-colorFrom: blue
-colorTo: purple
+title: Fdp
+emoji: 🚀
+colorFrom: red
+colorTo: red
 sdk: gradio
-sdk_version: 5.34.2
+sdk_version: 5.34.0
 app_file: app.py
 pinned: false
 ---

app.py

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+import spaces
+import gradio as gr
+from sacremoses import MosesPunctNormalizer
+from stopes.pipelines.monolingual.utils.sentence_split import get_split_algo
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from flores import code_mapping
+import platform
+import torch
+import nltk
+from functools import lru_cache
+
+nltk.download("punkt_tab")
+
+REMOVED_TARGET_LANGUAGES = {"Ligurian", "Lombard", "Sicilian"}
+
+# ✅ Dynamic CUDA check - use GPU only if available
+device = "cuda" if torch.cuda.is_available() else "cpu"
+print(f"Using device: {device}")
+
+MODEL_NAME = "facebook/nllb-200-3.3B"
+
+code_mapping = dict(sorted(code_mapping.items(), key=lambda item: item[0]))
+flores_codes = list(code_mapping.keys())
+target_languages = [language for language in flores_codes if not language in REMOVED_TARGET_LANGUAGES]
+
+def load_model():
+    model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME).to(device)
+    print(f"Model loaded in {device}")
+    return model
+
+model = load_model()
+
+# Load tokenizer once
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+punct_normalizer = MosesPunctNormalizer(lang="en")
+
+@lru_cache(maxsize=202)
+def get_language_specific_sentence_splitter(language_code):
+    short_code = language_code[:3]
+    splitter = get_split_algo(short_code, "default")
+    return splitter
+
+@lru_cache(maxsize=100)
+def translate(text: str, src_lang: str, tgt_lang: str):
+    if not src_lang:
+        raise gr.Error("The source language is empty! Please choose it in the dropdown list.")
+    if not tgt_lang:
+        raise gr.Error("The target language is empty! Please choose it in the dropdown list.")
+    return _translate(text, src_lang, tgt_lang)
+
+@spaces.GPU
+def _translate(text: str, src_lang: str, tgt_lang: str):
+    src_code = code_mapping[src_lang]
+    tgt_code = code_mapping[tgt_lang]
+    tokenizer.src_lang = src_code
+    tokenizer.tgt_lang = tgt_code
+
+    text = punct_normalizer.normalize(text)
+    paragraphs = text.split("\n")
+    translated_paragraphs = []
+
+    for paragraph in paragraphs:
+        splitter = get_language_specific_sentence_splitter(src_code)
+        sentences = list(splitter(paragraph))
+        translated_sentences = []
+
+        for sentence in sentences:
+            input_tokens = (
+                tokenizer(sentence, return_tensors="pt")
+                .input_ids[0]
+                .cpu()
+                .numpy()
+                .tolist()
+            )
+            translated_chunk = model.generate(
+                input_ids=torch.tensor([input_tokens]).to(device),
+                forced_bos_token_id=tokenizer.convert_tokens_to_ids(tgt_code),
+                max_length=len(input_tokens) + 50,
+                num_return_sequences=1,
+                num_beams=5,
+                no_repeat_ngram_size=4,
+                renormalize_logits=True,
+            )
+            translated_chunk = tokenizer.decode(
+                translated_chunk[0], skip_special_tokens=True
+            )
+            translated_sentences.append(translated_chunk)
+
+        translated_paragraph = " ".join(translated_sentences)
+        translated_paragraphs.append(translated_paragraph)
+
+    return "\n".join(translated_paragraphs)
+
+description = """<div style="text-align: center;">
+    <img src="https://huggingface.co/spaces/UNESCO/nllb/resolve/main/UNESCO_META_HF_BANNER.png" alt="UNESCO Meta Hugging Face Banner" style="max-width: 800px; width: 100%; margin: 0 auto;">
+    <h1 style="color: #0077be;">UNESCO Language Translator, powered by Meta and Hugging Face</h1></div>
+    UNESCO, Meta, and Hugging Face have come together to create an accessible, high-quality translation experience in 200 languages."""
+disclaimer = """## Disclaimer
+(This section remains unchanged)
+"""
+
+examples_inputs = [["The United Nations Educational, Scientific and Cultural Organization is a specialized agency of the United Nations with the aim of promoting world peace and security through international cooperation in education, arts, sciences and culture.", "English", "Ayacucho Quechua"],]
+
+with gr.Blocks() as demo:
+    gr.Markdown(description)
+    with gr.Row():
+        src_lang = gr.Dropdown(label="Source Language", choices=flores_codes)
+        target_lang = gr.Dropdown(label="Target Language", choices=target_languages)
+    with gr.Row():
+        input_text = gr.Textbox(label="Input Text", lines=6)
+    with gr.Row():
+        btn = gr.Button("Translate text")
+    with gr.Row():
+        output = gr.Textbox(label="Output Text", lines=6)
+    btn.click(
+        translate,
+        inputs=[input_text, src_lang, target_lang],
+        outputs=output,
+    )
+    examples = gr.Examples(examples=examples_inputs, inputs=[input_text, src_lang, target_lang], fn=translate, outputs=output, cache_examples=True)
+    with gr.Row():
+        gr.Markdown(disclaimer)
+demo.launch()

flores.py

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+code_mapping = {
+    "Acehnese (Arabic script)": "ace_Arab",
+    "Acehnese (Latin script)": "ace_Latn",
+    "Mesopotamian Arabic": "acm_Arab",
+    "Ta’izzi-Adeni Arabic": "acq_Arab",
+    "Tunisian Arabic": "aeb_Arab",
+    "Afrikaans": "afr_Latn",
+    "South Levantine Arabic": "ajp_Arab",
+    "Akan": "aka_Latn",
+    "Amharic": "amh_Ethi",
+    "North Levantine Arabic": "apc_Arab",
+    "Modern Standard Arabic": "arb_Arab",
+    # "Modern Standard Arabic (Romanized)": "arb_Latn",  # it is in FLORES, but not in NLLB
+    "Najdi Arabic": "ars_Arab",
+    "Moroccan Arabic": "ary_Arab",
+    "Egyptian Arabic": "arz_Arab",
+    "Assamese": "asm_Beng",
+    "Asturian": "ast_Latn",
+    "Awadhi": "awa_Deva",
+    "Central Aymara": "ayr_Latn",
+    "South Azerbaijani": "azb_Arab",
+    "North Azerbaijani": "azj_Latn",
+    "Bashkir": "bak_Cyrl",
+    "Bambara": "bam_Latn",
+    "Balinese": "ban_Latn",
+    "Belarusian": "bel_Cyrl",
+    "Bemba": "bem_Latn",
+    "Bengali": "ben_Beng",
+    "Bhojpuri": "bho_Deva",
+    "Banjar (Arabic script)": "bjn_Arab",
+    "Banjar (Latin script)": "bjn_Latn",
+    "Standard Tibetan": "bod_Tibt",
+    "Bosnian": "bos_Latn",
+    "Buginese": "bug_Latn",
+    "Bulgarian": "bul_Cyrl",
+    "Catalan": "cat_Latn",
+    "Cebuano": "ceb_Latn",
+    "Czech": "ces_Latn",
+    "Chokwe": "cjk_Latn",
+    "Central Kurdish": "ckb_Arab",
+    "Crimean Tatar": "crh_Latn",
+    "Welsh": "cym_Latn",
+    "Danish": "dan_Latn",
+    "German": "deu_Latn",
+    "Southwestern Dinka": "dik_Latn",
+    "Dyula": "dyu_Latn",
+    "Dzongkha": "dzo_Tibt",
+    "Greek": "ell_Grek",
+    "English": "eng_Latn",
+    "Esperanto": "epo_Latn",
+    "Estonian": "est_Latn",
+    "Basque": "eus_Latn",
+    "Ewe": "ewe_Latn",
+    "Faroese": "fao_Latn",
+    "Fijian": "fij_Latn",
+    "Finnish": "fin_Latn",
+    "Fon": "fon_Latn",
+    "French": "fra_Latn",
+    "Friulian": "fur_Latn",
+    "Nigerian Fulfulde": "fuv_Latn",
+    "Scottish Gaelic": "gla_Latn",
+    "Irish": "gle_Latn",
+    "Galician": "glg_Latn",
+    "Guarani": "grn_Latn",
+    "Gujarati": "guj_Gujr",
+    "Haitian Creole": "hat_Latn",
+    "Hausa": "hau_Latn",
+    "Hebrew": "heb_Hebr",
+    "Hindi": "hin_Deva",
+    "Chhattisgarhi": "hne_Deva",
+    "Croatian": "hrv_Latn",
+    "Hungarian": "hun_Latn",
+    "Armenian": "hye_Armn",
+    "Igbo": "ibo_Latn",
+    "Ilocano": "ilo_Latn",
+    "Indonesian": "ind_Latn",
+    "Icelandic": "isl_Latn",
+    "Italian": "ita_Latn",
+    "Javanese": "jav_Latn",
+    "Japanese": "jpn_Jpan",
+    "Kabyle": "kab_Latn",
+    "Jingpho": "kac_Latn",
+    "Kamba": "kam_Latn",
+    "Kannada": "kan_Knda",
+    "Kashmiri (Arabic script)": "kas_Arab",
+    "Kashmiri (Devanagari script)": "kas_Deva",
+    "Georgian": "kat_Geor",
+    "Central Kanuri (Arabic script)": "knc_Arab",
+    "Central Kanuri (Latin script)": "knc_Latn",
+    "Kazakh": "kaz_Cyrl",
+    "Kabiyè": "kbp_Latn",
+    "Kabuverdianu": "kea_Latn",
+    "Khmer": "khm_Khmr",
+    "Kikuyu": "kik_Latn",
+    "Kinyarwanda": "kin_Latn",
+    "Kyrgyz": "kir_Cyrl",
+    "Kimbundu": "kmb_Latn",
+    "Northern Kurdish": "kmr_Latn",
+    "Kikongo": "kon_Latn",
+    "Korean": "kor_Hang",
+    "Lao": "lao_Laoo",
+    "Ligurian": "lij_Latn",
+    "Limburgish": "lim_Latn",
+    "Lingala": "lin_Latn",
+    "Lithuanian": "lit_Latn",
+    "Lombard": "lmo_Latn",
+    "Latgalian": "ltg_Latn",
+    "Luxembourgish": "ltz_Latn",
+    "Luba-Kasai": "lua_Latn",
+    "Ganda": "lug_Latn",
+    "Luo": "luo_Latn",
+    "Mizo": "lus_Latn",
+    "Standard Latvian": "lvs_Latn",
+    "Magahi": "mag_Deva",
+    "Maithili": "mai_Deva",
+    "Malayalam": "mal_Mlym",
+    "Marathi": "mar_Deva",
+    # "Minangkabau (Arabic script)": "min_Arab",   # it is in FLORES, but not in NLLB
+    "Minangkabau (Latin script)": "min_Latn",
+    "Macedonian": "mkd_Cyrl",
+    "Plateau Malagasy": "plt_Latn",
+    "Maltese": "mlt_Latn",
+    "Meitei (Bengali script)": "mni_Beng",
+    "Halh Mongolian": "khk_Cyrl",
+    "Mossi": "mos_Latn",
+    "Maori": "mri_Latn",
+    "Burmese": "mya_Mymr",
+    "Dutch": "nld_Latn",
+    "Norwegian Nynorsk": "nno_Latn",
+    "Norwegian Bokmål": "nob_Latn",
+    "Nepali": "npi_Deva",
+    "Northern Sotho": "nso_Latn",
+    "Nuer": "nus_Latn",
+    "Nyanja": "nya_Latn",
+    "Occitan": "oci_Latn",
+    "West Central Oromo": "gaz_Latn",
+    "Odia": "ory_Orya",
+    "Pangasinan": "pag_Latn",
+    "Eastern Panjabi": "pan_Guru",
+    "Papiamento": "pap_Latn",
+    "Western Persian": "pes_Arab",
+    "Polish": "pol_Latn",
+    "Portuguese": "por_Latn",
+    "Dari": "prs_Arab",
+    "Southern Pashto": "pbt_Arab",
+    "Ayacucho Quechua": "quy_Latn",
+    "Romanian": "ron_Latn",
+    "Rundi": "run_Latn",
+    "Russian": "rus_Cyrl",
+    "Sango": "sag_Latn",
+    "Sanskrit": "san_Deva",
+    "Santali": "sat_Beng",  # It is called sat_Olck in FLORES, but (less correctly sat_Beng in NLLB)
+    "Sicilian": "scn_Latn",
+    "Shan": "shn_Mymr",
+    "Sinhala": "sin_Sinh",
+    "Slovak": "slk_Latn",
+    "Slovenian": "slv_Latn",
+    "Samoan": "smo_Latn",
+    "Shona": "sna_Latn",
+    "Sindhi": "snd_Arab",
+    "Somali": "som_Latn",
+    "Southern Sotho": "sot_Latn",
+    "Spanish": "spa_Latn",
+    "Tosk Albanian": "als_Latn",
+    "Sardinian": "srd_Latn",
+    "Serbian": "srp_Cyrl",
+    "Swati": "ssw_Latn",
+    "Sundanese": "sun_Latn",
+    "Swedish": "swe_Latn",
+    "Swahili": "swh_Latn",
+    "Silesian": "szl_Latn",
+    "Tamil": "tam_Taml",
+    "Tatar": "tat_Cyrl",
+    "Telugu": "tel_Telu",
+    "Tajik": "tgk_Cyrl",
+    "Tagalog": "tgl_Latn",
+    "Thai": "tha_Thai",
+    "Tigrinya": "tir_Ethi",
+    "Tamasheq (Latin script)": "taq_Latn",
+    "Tamasheq (Tifinagh script)": "taq_Tfng",
+    "Tok Pisin": "tpi_Latn",
+    "Tswana": "tsn_Latn",
+    "Tsonga": "tso_Latn",
+    "Turkmen": "tuk_Latn",
+    "Tumbuka": "tum_Latn",
+    "Turkish": "tur_Latn",
+    "Twi": "twi_Latn",
+    "Central Atlas Tamazight": "tzm_Tfng",
+    "Uyghur": "uig_Arab",
+    "Ukrainian": "ukr_Cyrl",
+    "Umbundu": "umb_Latn",
+    "Urdu": "urd_Arab",
+    "Northern Uzbek": "uzn_Latn",
+    "Venetian": "vec_Latn",
+    "Vietnamese": "vie_Latn",
+    "Waray": "war_Latn",
+    "Wolof": "wol_Latn",
+    "Xhosa": "xho_Latn",
+    "Eastern Yiddish": "ydd_Hebr",
+    "Yoruba": "yor_Latn",
+    "Yue Chinese": "yue_Hant",
+    "Chinese (Simplified)": "zho_Hans",
+    "Chinese (Traditional)": "zho_Hant",
+    "Standard Malay": "zsm_Latn",
+    "Zulu": "zul_Latn",
+}

requirements.txt

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+--extra-index-url https://download.pytorch.org/whl/cu113
+transformers
+torch
+gradio==4.32.2
+spaces
+nltk
+sacremoses
+stopes[mono] @ git+https://github.com/facebookresearch/stopes@better-sentence-splitters