Documentation Index
Fetch the complete documentation index at: https://developers.remeinium.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Step 1: /_index_upload
from gradio_client import Client, handle_file
client = Client("Remeinium/Embedding_Siyabasa")
result = client.predict(
file=handle_file('path/to/documents.txt'),
api_name="/_index_upload"
)
print(json.dumps(result, indent=4))
Accepts 1 parameter:
-
file : filepath *Required
The input value that is provided in the “Upload .txt or .csv File” File component. The FileData class is a subclass of the GradioModel class that represents a file object within a Gradio interface. It is used to store file data and metadata when a file is uploaded. Attributes: path: The server file path where the file is stored. url: The normalized server URL pointing to the file. size: The size of the file in bytes. orig_name: The original filename before upload. mime_type: The MIME type of the file. is_stream: Indicates whether the file is a stream. meta: Additional metadata used internally (should not be changed).
Returns tuple of 2 elements:
-
dict(headers: list[Any], data: list[list[Any]], metadata: dict(str, list[Any] | None) | None)
The output value that appears in the value_45 Dataframe component.
-
str
The output value that appears in the “Status” Textbox component.
Step 2: /_search_wrapper
from gradio_client import Client
client = Client("Remeinium/Embedding_Siyabasa")
result = client.predict(
query="සිංහල භාෂාව",
topn_=5,
api_name="/_search_wrapper"
)
Accepts 2 parameters:
-
query : string *Required
The input value that is provided in the Search Query Textbox component.
-
topn_ : float Default 5
The input value that is provided in the “Number of Results” Slider component.
Returns 1 element
str | float | bool | list | dict
The output value that appears in the Search Results Json component.
// Step 1: Index documents "/_index_upload"
import { Client } from "@gradio/client";
const response_0 = await fetch("https://github.com/gradio-app/gradio/raw/main/test/test_files/sample_file.pdf");
const exampleFile = await response_0.blob();
const client = await Client.connect("Remeinium/Embedding_Siyabasa");
const result = await client.predict("/_index_upload", {
file: exampleFile,
});
console.log(result.data);
Accepts 1 parameter:
-
file : any *Required
The input value that is provided in the “Upload .txt or .csv File” File component. The FileData class is a subclass of the GradioModel class that represents a file object within a Gradio interface. It is used to store file data and metadata when a file is uploaded. Attributes: path: The server file path where the file is stored. url: The normalized server URL pointing to the file. size: The size of the file in bytes. orig_name: The original filename before upload. mime_type: The MIME type of the file. is_stream: Indicates whether the file is a stream. meta: Additional metadata used internally (should not be changed).
Returns list of 2 elements:
-
The output value that appears in the
value_45 Dataframe component.
-
string
The output value that appears in the “Status” Textbox component.
**Step 2: **/_search_wrapper
import { Client } from "@gradio/client";
const client = await Client.connect("Remeinium/Embedding_Siyabasa");
const result = await client.predict("/_search_wrapper", {
query: "සිංහල භාෂාව",
topn_: 10,
});
console.log(result.data);
Accepts 2 parameters:
-
query : string *Required
The input value that is provided in the Search Query Textbox component.
-
topn_ : number Defauld 5
The input value that is provided in the “Number of Results” Slider component.
Returns 1 element:
The output value that appears in the Search Results Json component.Step 1: /_index_upload
curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/_index_upload -s -H "Content-Type: application/json" -d '{
"data": [
{"path":"https://github.com/gradio-app/gradio/raw/main/test/test_files/sample_file.pdf","meta":{"_type":"gradio.FileData"}}
]}' \
| awk -F'"' '{ print $4}' \
| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/_index_upload/$EVENT_ID
Accepts 1 parameter:
-
file : any *Required
The input value that is provided in the “Upload .txt or .csv File” File component. The FileData class is a subclass of the GradioModel class that represents a file object within a Gradio interface. It is used to store file data and metadata when a file is uploaded. Attributes: path: The server file path where the file is stored. url: The normalized server URL pointing to the file. size: The size of the file in bytes. orig_name: The original filename before upload. mime_type: The MIME type of the file. is_stream: Indicates whether the file is a stream. meta: Additional metadata used internally (should not be changed).
Returns list of 2 elements:
-
The output value that appears in the
value_45 Dataframe component.
-
string
The output value that appears in the “Status” Textbox component.
Step 2: /_search_wrapper
curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/_search_wrapper -s -H "Content-Type: application/json" -d '{
"data": ["සිංහල භාෂාව",10]}' \
| awk -F'"' '{ print $4}' \
| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/_search_wrapper/$EVENT_ID
Accepts 2 parameters:
-
query : string *Required
The input value that is provided in the Search Query Textbox component.
-
topn_ : number *Required
The input value that is provided in the “Number of Results” Slider component.
Returns 1 element:
The output value that appears in the Search Results Json component.
