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gradio_app.py
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@@ -36,7 +36,9 @@ embedding_model = AutoModel.from_pretrained(EMBEDDING_MODEL_NAME)
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rerank_model = CrossEncoder("mixedbread-ai/mxbai-rerank-large-v1")
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# Load Hugging Face API tokens from environment variables
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HF_API_TOKEN = os.
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# Define Hugging Face API URLs
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MISTRAL_API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
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rerank_model = CrossEncoder("mixedbread-ai/mxbai-rerank-large-v1")
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# Load Hugging Face API tokens from environment variables
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HF_API_TOKEN = os.environ["HF_API_TOKEN"] # Unified token for all models
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print(os.environ)
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print(HF_API_TOKEN)
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# Define Hugging Face API URLs
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MISTRAL_API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
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uploads/112ca78e-9113-4b73-be18-e796dbca07bb_uploaded_file.pdf
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Binary file (27.1 kB). View file
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