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import gradio as gr |
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import openai, os |
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from langchain.document_loaders.generic import GenericLoader |
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from langchain.document_loaders.parsers import OpenAIWhisperParser |
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from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader |
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from dotenv import load_dotenv, find_dotenv |
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_ = load_dotenv(find_dotenv()) |
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def invoke(openai_api_key, youtube_url): |
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openai.api_key = openai_api_key |
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url="https://www.youtube.com/watch?v=jGwO_UgTS7I" |
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save_dir="C:/Users/bstra/Downloads" |
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loader = GenericLoader( |
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YoutubeAudioLoader([url], save_dir), |
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OpenAIWhisperParser() |
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) |
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docs = loader.load() |
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return completion |
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description = """<a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API with Whisper 1 foundation model.""" |
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gr.close_all() |
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demo = gr.Interface(fn=invoke, |
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inputs = [gr.Textbox(label = "OpenAI API Key", lines = 1), gr.Textbox(label = "YouTube URL", lines = 1)], |
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outputs = [gr.Textbox(label = "Automatic Speech Recognition", lines = 1)], |
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title = "Generative AI - Audio", |
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description = description) |
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demo.launch() |
