Update app.py
Browse files
app.py
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import gradio as gr
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import re
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from transformers import
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# -------------------------
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# Load
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# -------------------------
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)
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# -------------------------
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# -------------------------
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def translate_line(text, max_len):
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Translate this English text to spoken Hindi.
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""
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)
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hindi =
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# Length control
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if len(hindi) > max_len:
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# -------------------------
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# Main
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# -------------------------
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def translate_srt(srt_text):
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english_len = len(english)
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# Hindi
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max_hindi_len = int(english_len * 1.3)
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try:
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# -------------------------
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# UI
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# -------------------------
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demo = gr.Interface(
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fn=translate_srt,
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label="Hindi SRT"
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),
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title="English → Hindi SRT Translator",
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description="Translate English subtitles to Hindi with timestamp preservation and length control."
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)
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demo.launch()
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import gradio as gr
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import re
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import torch
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# -------------------------
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# Load model
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# -------------------------
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MODEL_NAME = "facebook/nllb-200-distilled-600M"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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model = AutoModelForSeq2SeqLM.from_pretrained(
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MODEL_NAME
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# -------------------------
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# -------------------------
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def translate_line(text, max_len):
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tokenizer.src_lang = "eng_Latn"
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encoded = tokenizer(
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text,
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return_tensors="pt"
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)
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generated_tokens = model.generate(
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**encoded,
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forced_bos_token_id=tokenizer.convert_tokens_to_ids("hin_Deva"),
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max_length=128
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)
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hindi = tokenizer.batch_decode(
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generated_tokens,
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skip_special_tokens=True
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)[0]
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hindi = hindi.strip()
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# Length control
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if len(hindi) > max_len:
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# -------------------------
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# Main translation
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# -------------------------
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def translate_srt(srt_text):
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english_len = len(english)
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# Hindi max 130%
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max_hindi_len = int(english_len * 1.3)
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try:
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# -------------------------
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# Gradio UI
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# -------------------------
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demo = gr.Interface(
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fn=translate_srt,
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label="Hindi SRT"
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),
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title="English → Hindi SRT Translator",
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description="Translate English SRT subtitles to Hindi with timestamp preservation and subtitle length control."
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)
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demo.launch()
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