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78f9221
1
Parent(s):
4151c7e
Update app.py
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app.py
CHANGED
@@ -1,13 +1,21 @@
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import gradio as gr
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from transformers import
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# Load the
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# Define the Gradio interface
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def text_to_speech(text):
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#
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return speech
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@@ -17,4 +25,4 @@ iface = gr.Interface(fn=text_to_speech, inputs="text", outputs="audio",
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description="Enter text to hear the speech")
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# Launch the Gradio interface
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iface.launch()
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load the model and tokenizer
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model_name = "suno/bark-small"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Define the Gradio interface
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def text_to_speech(text):
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# Tokenize the input text
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inputs = tokenizer.encode(text, return_tensors="pt")
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# Generate speech from the input text using the loaded model
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outputs = model.generate(inputs)
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# Convert the generated speech tensor to audio format
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speech = gradio.inputs.Audio(outputs)
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return speech
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description="Enter text to hear the speech")
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# Launch the Gradio interface
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iface.launch()
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