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import gradio as gr
import ctransformers
class Z(object):
def __init__(self):
self.llm = None
def init(self):
pass
def greet(self, txt0):
prompt0 = txt0
prompt00 = f'''USER: {prompt0}
ASSISTANT:'''
response0 = llm(prompt00, max_new_tokens=128, temperature=0.5) # 0.3
return f'{response0}'
from ctransformers import AutoModelForCausalLM
# wizzard vicuna
# see https://github.com/melodysdreamj/WizardVicunaLM
llm = AutoModelForCausalLM.from_pretrained('TheBloke/Wizard-Vicuna-7B-Uncensored-GGML', model_file='Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_0.bin', model_type='llama')
z = Z()
z.llm = llm
z.init()
def greet(arg0):
global z
return z.greet(arg0)
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch() |