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Browse files- CHANGELOG.md +5 -0
- streamlit_app.py +2 -2
CHANGELOG.md
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@@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
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## [0.4.1] - 2024-08-23
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### Added
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
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## [0.4.2] - 2024-08-23
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### Fixed
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+ Correct invalid dependency of promptlayer slipped in the build
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## [0.4.1] - 2024-08-23
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streamlit_app.py
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@@ -6,7 +6,7 @@ from tempfile import NamedTemporaryFile
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import dotenv
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from grobid_quantities.quantities import QuantitiesAPI
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from langchain.memory import ConversationBufferWindowMemory
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from langchain_community.callbacks import PromptLayerCallbackHandler
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from langchain_community.chat_models import ChatOpenAI
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from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
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from langchain_huggingface import HuggingFaceEmbeddings
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temperature=0.01,
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max_new_tokens=4092,
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model_kwargs={"max_length": 8192},
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callbacks=[PromptLayerCallbackHandler(pl_tags=[model, "document-qa"])]
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)
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embeddings = HuggingFaceEmbeddings(
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model_name=OPEN_EMBEDDINGS[embeddings_name])
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import dotenv
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from grobid_quantities.quantities import QuantitiesAPI
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from langchain.memory import ConversationBufferWindowMemory
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# from langchain_community.callbacks import PromptLayerCallbackHandler
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from langchain_community.chat_models import ChatOpenAI
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from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
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from langchain_huggingface import HuggingFaceEmbeddings
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temperature=0.01,
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max_new_tokens=4092,
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model_kwargs={"max_length": 8192},
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# callbacks=[PromptLayerCallbackHandler(pl_tags=[model, "document-qa"])]
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)
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embeddings = HuggingFaceEmbeddings(
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model_name=OPEN_EMBEDDINGS[embeddings_name])
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