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Update app.py
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app.py
CHANGED
@@ -60,7 +60,7 @@ def get_movies(message, history):
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yield "Please clone the repo and add your open ai key as well as your MongoDB Atlas UR in the Secret Section of you Space\n OPENAI_API_KEY (your Open AI key) and MONGODB_ATLAS_CLUSTER_URI (0.0.0.0/0 whitelisted instance with Vector index created) \n\n For more information : https://mongodb.com/products/platform/atlas-vector-search"
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demo = gr.ChatInterface(get_movies, examples=["What movies are scary?", "Find me a comedy", "Movies for kids"], title="Movies Atlas Vector Search", submit_btn="Search").queue()
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if __name__ == "__main__":
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demo.launch()
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yield "Please clone the repo and add your open ai key as well as your MongoDB Atlas UR in the Secret Section of you Space\n OPENAI_API_KEY (your Open AI key) and MONGODB_ATLAS_CLUSTER_URI (0.0.0.0/0 whitelisted instance with Vector index created) \n\n For more information : https://mongodb.com/products/platform/atlas-vector-search"
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demo = gr.ChatInterface(get_movies, examples=["What movies are scary?", "Find me a comedy", "Movies for kids"],description="Uses the sample_mflix.embedded_movies collection from [sample_data](https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.embedded_movies) require a [vector index](https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-tutorial/#create-the-atlas-vector-search-index) on `plot_embedding` field", title="Movies Atlas Vector Search", submit_btn="Search").queue()
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if __name__ == "__main__":
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demo.launch()
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