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Running
reverting to streamlit 1.17 for HF
Browse files- README.md +1 -1
- requirements.txt +1 -1
- utils/haystack.py +4 -2
README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 🦄
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colorFrom: pink
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colorTo: yellow
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sdk: streamlit
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-
sdk_version: 1.
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app_file: app.py
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pinned: false
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---
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colorFrom: pink
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colorTo: yellow
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sdk: streamlit
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+
sdk_version: 1.17.0
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app_file: app.py
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pinned: false
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---
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requirements.txt
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@@ -1,5 +1,5 @@
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git+https://github.com/deepset-ai/haystack.git@openai/token_limit#egg=farm-haystack
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-
streamlit==1.
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markdown
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st-annotated-text
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python-dotenv
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git+https://github.com/deepset-ai/haystack.git@openai/token_limit#egg=farm-haystack
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+
streamlit==1.17.0
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markdown
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st-annotated-text
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python-dotenv
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utils/haystack.py
CHANGED
@@ -5,7 +5,9 @@ from utils.config import TWITTER_BEARER, OEPN_AI_KEY
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from haystack.nodes import PromptNode, PromptTemplate
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# cached to make index and models load only at start
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@st.
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def start_haystack():
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#Use this function to contruct a pipeline
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prompt_node = PromptNode(model_name_or_path="text-davinci-003", api_key=OEPN_AI_KEY)
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prompter, template = start_haystack()
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@st.
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def query(username):
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bearer_token = TWITTER_BEARER
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from haystack.nodes import PromptNode, PromptTemplate
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# cached to make index and models load only at start
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@st.cache(
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hash_funcs={"builtins.SwigPyObject": lambda _: None}, allow_output_mutation=True
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)
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def start_haystack():
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#Use this function to contruct a pipeline
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prompt_node = PromptNode(model_name_or_path="text-davinci-003", api_key=OEPN_AI_KEY)
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prompter, template = start_haystack()
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@st.cache(show_spinner=False, allow_output_mutation=True)
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def query(username):
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bearer_token = TWITTER_BEARER
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