Spaces:
Build error
Build error
File size: 2,336 Bytes
d934c26 f419ec9 d934c26 7ba8571 d934c26 f419ec9 7ba8571 d934c26 f419ec9 d934c26 b9dd2dd d934c26 f419ec9 d934c26 b9dd2dd f419ec9 d934c26 f419ec9 d934c26 f419ec9 d934c26 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
import streamlit as st
import weaviate_utils
def display_initial_buttons():
if "upload_flow" not in st.session_state:
st.session_state.upload_flow = False
if "query_flow" not in st.session_state:
st.session_state.query_flow = False
if st.button("Upload new CSV"):
st.session_state.upload_flow = True
st.session_state.query_flow = False
if st.button("Query existing data"):
st.session_state.query_flow = True
st.session_state.upload_flow = False
def display_class_dropdown(client):
if st.session_state.upload_flow:
existing_classes = [cls["class"] for cls in client.schema.get()["classes"]]
class_options = existing_classes + ["New Class"]
return st.selectbox("Select a class or create a new one:", class_options, key="class_selector_upload")
elif st.session_state.query_flow:
existing_classes = [cls["class"] for cls in client.schema.get()["classes"]]
class_options = existing_classes + ["Query all data"]
return st.selectbox("Select a class or query all data:", class_options, key="class_selector_query")
def handle_new_class_selection(client, selected_class):
if selected_class == "New Class":
class_name = st.text_input("Enter the new class name:")
class_description = st.text_input("Enter a description for the class:")
if class_name and class_description:
if st.button("Create Vector DB Class"):
# Call function to create new class schema in Weaviate
weaviate_utils.create_new_class_schema(client, class_name, class_description)
def csv_upload_and_ingestion(client, selected_class):
csv_file = st.file_uploader("Upload a CSV file", type=["csv"], key="csv_uploader")
if csv_file:
if st.button("Confirm CSV upload"):
# Call function to ingest CSV data into Weaviate
weaviate_utils.ingest_data_to_weaviate(client, csv_file, selected_class)
def display_query_input():
question = st.text_input("Enter your question:")
if question:
if st.button("Submit Query"):
# Call function to query TAPAS with selected data and entered question
# (This function needs to be implemented)
query_tapas_with_weaviate_data(st.session_state.data_source, question)
|