bstraehle commited on
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58981a1
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1 Parent(s): 48b3044

Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -26,9 +26,9 @@ def invoke(openai_api_key, youtube_url, prompt):
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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, analyse its sentiment, summarize it, translate it, etc.
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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 foundation models <a href='https://openai.com/research/whisper'>Whisper</a> (speech to text) and
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- <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM use cases) via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a>."""
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  gr.close_all()
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  demo = gr.Interface(fn=invoke,
 
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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, analyse its sentiment, summarize it, translate it, etc.
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+ Implementation: <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API
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+ via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a> with foundation models
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+ <a href='https://openai.com/research/whisper'>Whisper</a> (speech to text) and <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM use cases)."""
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  gr.close_all()
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  demo = gr.Interface(fn=invoke,