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Update app.py
Browse files
app.py
CHANGED
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@@ -15,9 +15,6 @@ class SearchRequest(BaseModel):
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query: str
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top_k: int = 3
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class VideoRequest(BaseModel):
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video_id: str
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@lru_cache(maxsize=1)
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def load_model():
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return SentenceTransformer('model/BGE-Medico-Model')
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@@ -51,65 +48,6 @@ def search_device(request: SearchRequest):
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return {"results": results}
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@app.post('/get_sub')
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def get_subtitles(request: VideoRequest):
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api = YouTubeTranscriptApi()
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logging.info('Yes we are started')
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try:
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transcript_list = api.list(request.video_id)
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logging.info(transcript_list)
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english_codes = ['en', 'en-US', 'en-GB']
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def fetch_text(transcript):
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subtitles = transcript.fetch()
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text = " ".join([snippet.text for snippet in subtitles])
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return {'lang':transcript.language, 'text': text}
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try:
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transcript = transcript_list.find_manually_created_transcript(english_codes)
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return fetch_text(transcript)
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except CouldNotRetrieveTranscript:
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pass
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# Step 2: Check any manually created transcript, translate if possible
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manual_transcripts = [t for t in transcript_list if not t.is_generated]
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if manual_transcripts:
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orig_transcript = manual_transcripts[0]
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if orig_transcript.is_translatable:
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try:
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translated_transcript = orig_transcript.translate('en')
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return fetch_text(translated_transcript)
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except (TranslationLanguageNotAvailable, NotTranslatable):
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pass
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return fetch_text(orig_transcript)
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# Step 3: Check generated transcripts in English
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try:
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transcript = transcript_list.find_generated_transcript(english_codes)
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return fetch_text(transcript)
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except CouldNotRetrieveTranscript:
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pass
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# Step 4: Any generated transcript
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generated_transcripts = [t for t in transcript_list if t.is_generated]
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if generated_transcripts:
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orig_transcript = generated_transcripts[0]
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if orig_transcript.is_translatable:
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try:
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translated_transcript = orig_transcript.translate('en')
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return fetch_text(translated_transcript)
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except (TranslationLanguageNotAvailable, NotTranslatable):
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pass
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return fetch_text(orig_transcript)
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raise NoTranscriptFound("No subtitles available for this video.")
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except Exception as e:
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logging.info(e)
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return e
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@app.get("/")
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def root():
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query: str
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top_k: int = 3
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@lru_cache(maxsize=1)
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def load_model():
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return SentenceTransformer('model/BGE-Medico-Model')
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return {"results": results}
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@app.get("/")
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def root():
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