openai-llm-rag

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bstraehle commited on Oct 21, 2023

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67660cc

1 Parent(s): a5cb1b3

Update app.py

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app.py CHANGED Viewed

@@ -48,7 +48,7 @@ def invoke(openai_api_key, youtube_url, process_video, prompt):
     return result["result"]
 description = """<strong>Overview:</strong> The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data
-                 (YouTube videos in this case, but it could be PDFs, URLs, or other structured/unstructured private/public
                  <a href='https://raw.githubusercontent.com/bstraehle/ai-ml-dl/c38b224c196fc984aab6b6cc6bdc666f8f4fbcff/langchain/document-loaders.png'>data sources</a>).\n\n
                  <strong>Instructions:</strong> Enter an OpenAI API key and perform LLM use cases on a YouTube video (semantic search, sentiment analysis, summarization,
                  translation, etc.) The example is a short video about GPT-4.

     return result["result"]
 description = """<strong>Overview:</strong> The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data
+                 (in this case YouTube videos, but it could be PDFs, URLs, or other structured/unstructured private/public
                  <a href='https://raw.githubusercontent.com/bstraehle/ai-ml-dl/c38b224c196fc984aab6b6cc6bdc666f8f4fbcff/langchain/document-loaders.png'>data sources</a>).\n\n
                  <strong>Instructions:</strong> Enter an OpenAI API key and perform LLM use cases on a YouTube video (semantic search, sentiment analysis, summarization,
                  translation, etc.) The example is a short video about GPT-4.