Download src/app.py from ShahadAljohani/ALLAM-based-Retrieval-Augmented-Generation-Arabic-Conversational-Alzheimer-Assistance: direct link, hf CLI and curl.
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https://huggingface.co/ShahadAljohani/ALLAM-based-Retrieval-Augmented-Generation-Arabic-Conversational-Alzheimer-Assistance/resolve/main/src/app.py
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hf download hf://ShahadAljohani/ALLAM-based-Retrieval-Augmented-Generation-Arabic-Conversational-Alzheimer-Assistance/src/app.py
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curl -L -o app.py https://huggingface.co/ShahadAljohani/ALLAM-based-Retrieval-Augmented-Generation-Arabic-Conversational-Alzheimer-Assistance/resolve/main/src/app.py
363 Bytes
| """ | |
| Public interface of the chatbot. | |
| The complete implementation is private. | |
| """ | |
| def chatbot_response(query): | |
| """ | |
| Sends user query through the RAG pipeline. | |
| """ | |
| return "Response generated by the ALLAM-RAG system." | |
| if __name__ == "__main__": | |
| query = "كيف حالتي الصحية؟" | |
| print(chatbot_response(query)) |