HHousen / lecture2notes

Unused variable found PYL-W0612
Anti-pattern
Major
9 months ago4 years old
 31
 32        all_features = []
 33        logger.info("Extracting features from " + str(num_slides) + " slides")
 34        for idx, slide in tqdm( 35            enumerate(self.slides_list),
 36            total=num_slides,
 37            desc="> AI Segmenting Engine: Feature extraction",
 840                return "This content is too long to be summarized. Please contact support for assistance."
 841            else:
 842                raise e
 843        except (openai.error.ServiceUnavailableError, openai.error.APIError) as e: 844            tries += 1
 845            print("OpenAI API error. Trying again in 10 seconds...")
 846            sleep(10)
 537            X, lsa_svd = extract_features_bow(
 538                NLP_SENTENCES, return_lsa_svd=True, **kwargs
 539            )
 540            u, sigma, v = lsa_svd 541            ranks = compute_ranks(sigma, v)
 542            logger.debug("Ranks calculated")
 543        else:
 205        1, 0
 206    )  # flip axes so the sentences (documents) are the columns and the terms are the rows
 207
 208    u, sigma, v = np.linalg.svd(doc_term_matrix, full_matrices=False) 209    logger.debug("SVD successfully calculated")
 210
 211    ranks = iter(compute_ranks(sigma, v))
756    # also, this means that the audio file is split on voice activity as needed
757    # (the entire file is not split and stored in memory at once)
758    if method == "deepspeech":
759        for i, segment in tqdm(enumerate(segments), desc="Processing Segments"):760            # Run deepspeech on each chunk which completed VAD
761            audio = np.frombuffer(segment, dtype=np.int16)
762            transcript, transcript_json = transcribe_audio_deepspeech(