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Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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from TTS.api import TTS
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captioner = pipeline(model="microsoft/git-base")
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tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
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def predict(image):
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demo = gr.Interface(
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)
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demo.launch()
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# gr.Interface.load("models/ronniet/git-base-env").launch()
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# gr.Interface.load("models/microsoft/git-base").launch()
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# import gradio as gr
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# from transformers import pipeline
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# from TTS.api import TTS
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# captioner = pipeline(model="microsoft/git-base")
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# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
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# def predict(image):
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# text = captioner(image)[0]["generated_text"]
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# audio_output = "output.wav"
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# tts.tts_to_file(text, speaker=tts.speakers[0], language="en", file_path=audio_output)
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# return text, audio_output
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# demo = gr.Interface(
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# fn=predict,
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# inputs=gr.Image(type="pil"),
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# outputs=['text', gr.Audio()]
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# )
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# demo.launch()
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# gr.Interface.load("models/ronniet/git-base-env").launch()
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# gr.Interface.load("models/microsoft/git-base").launch()
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