174 lines
6.6 KiB
Python
174 lines
6.6 KiB
Python
import os
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import sys
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from google import genai
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from google.genai import types
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from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
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import pysubs2
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from deep_translator import GoogleTranslator
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# Define a retry decorator
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# ... (retry_policy remains)
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def translate_fallback_free(source_srt_content, target_language="en"):
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"""
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Fallback translation using deep-translator (free Google Translate).
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Args:
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source_srt_content (str): Content of the source SRT file.
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target_language (str): Target language code (e.g. 'en', 'fr').
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Returns:
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str: Translated SRT content, or None if failed.
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"""
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print(f" [Free Fallback] Translating via Google Translate (deep-translator)...")
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try:
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# Load from string
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subs = pysubs2.SSAFile.from_string(source_srt_content)
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translator = GoogleTranslator(source='auto', target=target_language)
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# Simple line-by-line translation
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for line in subs:
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text = line.text.strip()
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if text:
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# Sanity check: Skip lines that are too long
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if len(text) > 4000:
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print(f" Warning: Skipping line with excessive length ({len(text)} chars).")
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continue
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try:
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# pysubs2 text can contain \N for newlines.
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original_text = text.replace(r"\N", " ")
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translated_text = translator.translate(original_text)
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if translated_text:
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line.text = translated_text
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except Exception as e:
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print(f" Warning: Failed to translate line: {e}")
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# Return as string
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return subs.to_string(format_="srt")
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except Exception as e:
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print(f" [Free Fallback] Critical Error: {e}")
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return None
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# Define a retry decorator
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# Waits 2^x * 1 seconds between retries (1s, 2s, 4s...)
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# Stop after 15 attempts
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retry_policy = retry(
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stop=stop_after_attempt(15),
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wait=wait_exponential(multiplier=1, min=2, max=60),
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retry=retry_if_exception_type(Exception),
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reraise=True
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)
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@retry_policy
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def _generate_with_retry(client, model_name, prompt):
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"""Internal function to wrap the API call with retry logic."""
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try:
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return client.models.generate_content(
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model=model_name,
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contents=prompt
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)
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except Exception as e:
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if "429" in str(e) or "Resource has been exhausted" in str(e):
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print(f" [Rate Limit Hit] Waiting for quota reset... ({e})")
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raise e
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def get_best_available_model(client):
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"""
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Queries the API to find the best available model for text generation.
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Priority: gemini-2.0-flash > gemini-1.5-flash > gemini-1.5-pro
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"""
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try:
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# Priority list (New v2 naming conventions if applicable, but standard models persist)
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priorities = [
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"gemini-2.0-flash", # Latest
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"gemini-1.5-flash",
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"gemini-1.5-pro"
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]
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# In new SDK, client.models.list() returns iterators of Model objects
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# We can just try to use the priority one directly, or list them.
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# Listing can be slow. Let's just default to a known good priority list.
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# If we really want to check:
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# available = [m.name for m in client.models.list()]
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# For efficiency/speed, we will trust our priority list.
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# The API will error if model doesn't exist, which the try/catch block handling generation will catch?
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# No, better to pick one that exists.
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# Let's return the latest standard one.
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return "gemini-2.0-flash" # Assuming 2.0 is available or falling back
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except Exception as e:
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print(f"Warning: Model selection issue ({e}). Defaulting to 'gemini-1.5-flash'.")
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return "gemini-1.5-flash"
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def translate_srt(srt_content, target_language="English", api_key=None):
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"""
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Translates SRT subtitle content using the Google GenAI SDK (v2).
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"""
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if not srt_content:
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return ""
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key = api_key or os.getenv("GEMINI_API_KEY")
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if not key:
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print("Error: GEMINI_API_KEY not found. Please set the environment variable or pass the key.")
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sys.exit(1)
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# Initialize Client (v2 style)
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try:
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client = genai.Client(api_key=key)
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except Exception as e:
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print(f"Error initializing GenAI Client: {e}")
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return None
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# Automatically select the best model
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# Note: v2 SDK might use 'gemini-1.5-flash' directly without 'models/' prefix usually
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model_name = "gemini-2.0-flash"
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print(f"Using Gemini Model (v2): {model_name}")
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prompt = (
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"You are a professional subtitle translator. Your task is to translate the following SRT subtitle file "
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f"into {target_language}.\n\n"
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"RULES:\n"
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"1. PRESERVE the SRT format exactly. Do not modify timestamps (e.g., 00:00:01,000 --> 00:00:04,000) or sequence numbers.\n"
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"2. Only translate the dialogue text.\n"
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"3. Maintain the original tone and context.\n"
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"4. Output ONLY the translated SRT content, no markdown code blocks or explanations.\n\n"
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"SRT Content:\n"
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f"{srt_content}"
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)
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print(f"Translating subtitles to {target_language} (with retries)...")
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try:
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# Call the retried internal function
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response = _generate_with_retry(client, model_name, prompt)
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print("Translation complete.")
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# Cleanup: sometimes models wrap output in ```srt ... ``` or ``` ... ```
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cleaned_text = response.text.strip()
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if cleaned_text.startswith("```"):
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lines = cleaned_text.split('\n')
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if len(lines) >= 2:
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cleaned_text = '\n'.join(lines[1:-1])
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return cleaned_text
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except Exception as e:
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print(f"Error during translation after retries: {e}")
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# Fallback to older model if 2.0 fails?
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if "404" in str(e) and "gemini-2.0" in model_name:
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print(" -> gemini-2.0-flash not found, falling back to gemini-1.5-flash")
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try:
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response = _generate_with_retry(client, "gemini-1.5-flash", prompt)
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cleaned_text = response.text.strip()
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if cleaned_text.startswith("```"):
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lines = cleaned_text.split('\n')
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if len(lines) >= 2:
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cleaned_text = '\n'.join(lines[1:-1])
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return cleaned_text
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except Exception as inner_e:
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print(f"Fallback failed: {inner_e}")
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return None
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