bstraehle commited on
Commit
10d5f46
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1 Parent(s): e7fe6b7

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -24,11 +24,11 @@ def invoke(openai_api_key, youtube_url, prompt):
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  ###
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  return retrieval
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- description = """The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data.\n\n
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  Enter an OpenAI API key, YouTube URL, and prompt to search the video, summarize it, translate it, etc.\n\n
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  <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API
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  with <a href='https://openai.com/research/whisper'>Whisper</a> foundation model (for speech to text generation)
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- and <a href='https://openai.com/research/gpt-4'>GPT-4</a> foundation model (for LLM use cases like search, summarization, translation, etc.)
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  via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a>."""
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  gr.close_all()
 
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  ###
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  return retrieval
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+ description = """The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data.
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  Enter an OpenAI API key, YouTube URL, and prompt to search the video, summarize it, translate it, etc.\n\n
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  <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API
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  with <a href='https://openai.com/research/whisper'>Whisper</a> foundation model (for speech to text generation)
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+ and <a href='https://openai.com/research/gpt-4'>GPT-4</a> foundation model (for LLM use cases)
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  via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a>."""
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  gr.close_all()