deploying the model with streamlit
Browse files- requirements.txt +2 -1
- task6_model_deployment/assets/logo.png +0 -0
- task6_model_deployment/scripts/__pycache__/query_engine.cpython-311.pyc +0 -0
- task6_model_deployment/scripts/{03_query_engine.py → query_engine.py} +1 -0
- task6_model_deployment/scripts/{01-vector_database_creation.py → vector_database_creation.py} +0 -0
- task6_model_deployment/scripts/{02_vector_database_loading.py → vector_database_loading.py} +0 -0
requirements.txt
CHANGED
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@@ -4,4 +4,5 @@ python-dotenv
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llama-index
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llama-index-vector-stores-pinecone
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llama-index-embeddings-huggingface
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llama-index-llms-groq
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llama-index
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llama-index-vector-stores-pinecone
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llama-index-embeddings-huggingface
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llama-index-llms-groq
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streamlit
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task6_model_deployment/assets/logo.png
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task6_model_deployment/scripts/__pycache__/query_engine.cpython-311.pyc
ADDED
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Binary file (4.36 kB). View file
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task6_model_deployment/scripts/{03_query_engine.py → query_engine.py}
RENAMED
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@@ -8,6 +8,7 @@ from llama_index.core.response.pprint_utils import pprint_source_node
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from llama_index.core import Settings
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from llama_index.embeddings.huggingface import HuggingFaceEmbedding
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from llama_index.llms.groq import Groq
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# Load environment variables from the .env file
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load_dotenv()
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from llama_index.core import Settings
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from llama_index.embeddings.huggingface import HuggingFaceEmbedding
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from llama_index.llms.groq import Groq
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+
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# Load environment variables from the .env file
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load_dotenv()
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task6_model_deployment/scripts/{01-vector_database_creation.py → vector_database_creation.py}
RENAMED
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File without changes
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task6_model_deployment/scripts/{02_vector_database_loading.py → vector_database_loading.py}
RENAMED
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File without changes
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