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marcellopoliti
commited on
Commit
β’
611f226
1
Parent(s):
6e74ef2
refactor
Browse files- app.py +67 -53
- pages/manage_knowledge_box.py +5 -6
app.py
CHANGED
@@ -21,6 +21,28 @@ sys.modules["sqlite3"] = sys.modules.pop("pysqlite3")
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st.set_page_config(page_title="Hello", page_icon="π", layout="wide")
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def check_password():
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"""Returns `True` if the user had the correct password."""
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@@ -48,71 +70,63 @@ def check_password():
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if not check_password():
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st.stop() # Do not continue if check_password is not True.
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# Main Streamlit app starts here
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client = get_chroma_client()
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default_embedding_function = get_embedding_function()
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col1, col2, col3 = st.columns((1, 4, 1))
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with col2:
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st.image("https://brianknows.org/brian_logo.png", width=300)
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st.write("# Brian Knowledge Base System! π")
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# Sidebar
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st.sidebar.header(("About"))
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st.sidebar.markdown(
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(
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"[Brian](https://www.brianknows.org/) Built on top of Brian API, Brian App offers an user interface for performing transactions in a non-custodial way, researching web3 info, and deploying smart contracts by prompt."
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)
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)
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st.sidebar.header(("Resources"))
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st.sidebar.markdown(
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(
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"""
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- [Brian Documentation](https://docs.brianknows.org/)
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- [X (Twitter)](https://x.com/BrianknowsAI?mx=2)
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- [Linkedin](https://www.linkedin.com/company/brianknowsai/)
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- [Medium](https://medium.com/@BrianknowsAI)
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"""
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)
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)
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st.divider()
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kb_name = "public-knowledge-box"
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"Content-Type": "application/json",
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"X-Brian-Api-Key": api_key, # Include the API key in the headers
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}
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st.set_page_config(page_title="Hello", page_icon="π", layout="wide")
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def show_sidebar():
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# Sidebar
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st.sidebar.header(("About"))
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st.sidebar.markdown(
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(
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"[Brian](https://www.brianknows.org/) Built on top of Brian API, Brian App offers an user interface for performing transactions in a non-custodial way, researching web3 info, and deploying smart contracts by prompt."
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)
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)
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st.sidebar.header(("Resources"))
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st.sidebar.markdown(
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(
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"""
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- [Brian Documentation](https://docs.brianknows.org/)
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- [X (Twitter)](https://x.com/BrianknowsAI?mx=2)
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- [Linkedin](https://www.linkedin.com/company/brianknowsai/)
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- [Medium](https://medium.com/@BrianknowsAI)
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"""
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)
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)
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def check_password():
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"""Returns `True` if the user had the correct password."""
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if not check_password():
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st.stop() # Do not continue if check_password is not True.
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# Main Streamlit app starts here
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client = get_chroma_client()
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default_embedding_function = get_embedding_function()
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# Function to load a page
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def load_page(page_name):
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with open(f"pages/{page_name}", "r") as file:
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exec(file.read(), globals())
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client = get_chroma_client()
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default_embedding_function = get_embedding_function()
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show_sidebar()
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col1, col2, col3 = st.columns((1, 4, 1))
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with col2:
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st.image("https://brianknows.org/brian_logo.png", width=300)
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st.write("# Brian Knowledge Base System! π")
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tab1, tab2 = st.tabs(["AskBrian", "BrianApp"])
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with tab1:
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st.markdown("## Ask Brian Anything")
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kb_name = "public-knowledge-box"
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load_dotenv()
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api_key = os.getenv("BRIAN_API_KEY")
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def send_post_request(prompt, kb):
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url = " https://api.brianknows.org/api/v0/agent/knowledge"
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data = {"prompt": prompt, "kb": kb}
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headers = {
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"Content-Type": "application/json",
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"X-Brian-Api-Key": api_key, # Include the API key in the headers
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}
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response = requests.post(url, json=data, headers=headers)
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if response.status_code == 200:
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return response.json() # Returns the JSON response if successful
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else:
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return (
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response.status_code,
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response.text,
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) # Returns the status code and error if not successful
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# Example usage:
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kbs = get_current_knowledge_bases(client=client)
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kbs = (kb.name for kb in kbs)
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kb_name = st.selectbox("Select knowledge box", kbs)
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query = st.text_input(label="query")
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if st.button("askbrian"):
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result = send_post_request(query, kb_name)
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st.json(result)
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with tab2:
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components.iframe("https://www.brianknows.org/", height=650, scrolling=True)
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pages/manage_knowledge_box.py
CHANGED
@@ -11,15 +11,14 @@ from openai import OpenAI
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import wave
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from dotenv import load_dotenv
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load_dotenv()
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openai_key = os.getenv("OPENAI_API_KEY")
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st.title("
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collection_name = st.text_input(label="knowledge base name")
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info = {}
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collection = None
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import wave
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from dotenv import load_dotenv
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load_dotenv()
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openai_key = os.getenv("OPENAI_API_KEY")
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st.title("Manage collections")
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kbs = get_current_knowledge_bases(client=client)
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kbs = (kb.name for kb in kbs)
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collection_name = st.selectbox("Select knowledge box", kbs)
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info = {}
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collection = None
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