Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
File size: 1,363 Bytes
56217e4 941faf0 56217e4 4b1c32c 56217e4 78c9684 4b1c32c 56217e4 78c9684 4b1c32c 56217e4 78c9684 b52ae58 5cfa298 56217e4 |
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 |
import gradio as gr
from gradio_client import Client
def retrieve_paragraphs(query:str, country:dict):
"""Connect to retriever and retrieve paragraphs, the collection param is fixed in qdrant-client call within code.
Params
----------
query: the query input by user
country: collection 'EUDR' can filter the results based on country field. Past the values of country as str (single) or list
Returns
-----------
Returns the top 10 retrieved>reranked results list of dict [{'answer':.....,'answer_metadata': {.....}}]
"""
try:
# Metadata selection
# Call the API with the uploaded file
client = Client("https://giz-chatfed-retriever0-3.hf.space/")
# Only create filter_metadata if country has a value
filter_metadata = {'country': country} if country is not None else None
result = client.predict(
query=query,
collection_name= "EUDR",
filter_metadata = filter_metadata,
api_name="/retrieve"
)
return result
except Exception as e:
error_msg = f"Error retrieving paragraphs: {str(e)}"
return (
error_msg,
gr.update(visible=True), # upload_status
gr.update(visible=False) # results_table
) |