hannatoenbreker
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Delete app.py
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app.py
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from datasets import load_dataset, DatasetDict, Audio
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from transformers import WhisperFeatureExtractor, WhisperTokenizer, WhisperProcessor, pipeline
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from transformers import WhisperForConditionalGeneration, Seq2SeqTrainingArguments, Seq2SeqTrainer, WhisperForConditionalGeneration, WhisperProcessor
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from dataclasses import dataclass
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from typing import Any, Dict, List, Union
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import gradio as gr
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import torch
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model = WhisperForConditionalGeneration.from_pretrained("hannatoenbreker/whisper-dutch")
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processor = WhisperProcessor.from_pretrained("openai/whisper-small", language="Dutch", task="transcribe")
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pipe = pipeline(model="openai/whisper-small")
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def transcribe(audio):
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text = pipe(audio)["text"]
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return text
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iface = gr.Interface(
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fn=transcribe,
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inputs=gr.Audio(source="microphone", type="filepath"),
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outputs="text",
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title="Whisper Small Dutch",
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description="Realtime demo for Dutch speech recognition using a fine-tuned Whisper small model.",
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)
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iface.launch()
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