model changed
Browse files
app/__pycache__/main.cpython-310.pyc
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app/__pycache__/passing.cpython-310.pyc
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Binary files a/app/__pycache__/passing.cpython-310.pyc and b/app/__pycache__/passing.cpython-310.pyc differ
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app/__pycache__/transcriber.cpython-310.pyc
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Binary files a/app/__pycache__/transcriber.cpython-310.pyc and b/app/__pycache__/transcriber.cpython-310.pyc differ
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app/passing.py
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@@ -5,7 +5,7 @@ def normalize_euclidean(euclidean, max_value):
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"""
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return max(0, 100 - (euclidean / max_value) * 100)
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def calculate_passing(sequence, phonetic, cosine, euclidean, passing_threshold=
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# Normalize sequence and phonetic to 0-100 scale
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sequence_normalized = sequence * 100
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phonetic_normalized = phonetic * 100
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"""
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return max(0, 100 - (euclidean / max_value) * 100)
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def calculate_passing(sequence, phonetic, cosine, euclidean, passing_threshold=60, euclidean_max=200):
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# Normalize sequence and phonetic to 0-100 scale
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sequence_normalized = sequence * 100
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phonetic_normalized = phonetic * 100
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app/routers/V1/voice/__pycache__/voice_router.cpython-310.pyc
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Binary files a/app/routers/V1/voice/__pycache__/voice_router.cpython-310.pyc and b/app/routers/V1/voice/__pycache__/voice_router.cpython-310.pyc differ
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app/transcriber.py
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@@ -6,7 +6,7 @@ from datasets import load_dataset
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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model_id = "
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model = AutoModelForSpeechSeq2Seq.from_pretrained(
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model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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model_id = "MothersTongue/mother_tongue_model"
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model = AutoModelForSpeechSeq2Seq.from_pretrained(
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model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
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