import gradio as gr
from gradio_client import Client
import os

HUGGINGFACEHUB_API_TOKEN=os.getenv("HUGGINGFACEHUB_API_TOKEN")

#client = Client("https://binqiangliu-llama2-with-gradio-chat.hf.space/", hf_token=HUGGINGFACEHUB_API_TOKEN, serialize=False)
client = Client("https://binqiangliu-llama2-with-gradio-chat.hf.space/")
result = client.predict(
				"",	# str (filepath to JSON file)								in 'parameter_4' Json component
				"Howdy!",	# str in '' Textbox component
				"Howdy!",	# str in 'parameter_84' Textbox component
				0,	# int | float (numeric value between 0.0 and 2.0)								in 'temp' Slider component
				20,	# int | float (numeric value between 20 and 1000)								in 'top_k' Slider component
				0,	# int | float (numeric value between 0.0 and 2.0)								in 'rep_penalty' Slider component
				64,	# int | float (numeric value between 64 and 8192)								in 'new_tokens' Slider component
				"true",	# str in 'sample' Radio component
				2,	# int | float (numeric value between 2 and 10)								in 'number of recent talks to keep' Slider component
				"on",	# str in 'internet mode' Radio component
				"05e6a9eace677f93c0e4a93f750c12d03c1f81e043630cb93378da46ce616567",	# str in 'Serper api key' Textbox component
				fn_index=21
)
print(result)