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_A=True | |
import os | |
from langchain import OpenAI | |
import gradio as gr,openai | |
API_URL='https://api.openai.com/v1/chat/completions' | |
openai.api_key=os.environ['OPENAI_API_KEY'] | |
top_p_chatgpt=1.0 | |
temperature_chatgpt=1.0 | |
def predict_chatgpt(inputs,chat_counter_chatgpt,chatbot_chatgpt=[],history=[]): | |
N='user';J='content';I='role';D=chat_counter_chatgpt;C=inputs;A=history | |
if D!=0: | |
E=[] | |
for K in chatbot_chatgpt:F={};F[I]=N;F[J]=K[0];G={};G[I]='assistant';G[J]=K[1];E.append(F);E.append(G) | |
H={};H[I]=N;H[J]=C;E.append(H) | |
D+=1;A.append('You typed: '+C);O=openai.Moderation.create(input=C);P=O['results'][0].flagged | |
if P==_A:L='This content is offensive and needs to be moderated' | |
else:L="This content doesn't need moderation" | |
Q=L.split();M=0;B='';T=0 | |
for R in Q: | |
B=B+' '+R | |
if M==0:A.append(' '+B) | |
else:A[-1]=B | |
S=[(A[B],A[B+1])for B in range(0,len(A)-1,2)];M+=1;yield(S,A,D) | |
def reset_textbox():return gr.update(value='') | |
def reset_chat(chatbot,state):return None,[] | |
with gr.Blocks(css='#col_container {width: 1000px; margin-left: auto; margin-right: auto;}\n #chatgpt {height: 400px; overflow: auto;}} ',theme=gr.themes.Default(primary_hue='slate'))as ModerationAI: | |
with gr.Row(): | |
with gr.Column(scale=14): | |
with gr.Box(): | |
with gr.Row(): | |
with gr.Column(scale=13):inputs=gr.Textbox(label='Type any abusive sentence ⤵️ Try : I will pi** on you') | |
with gr.Column(scale=1):b1=gr.Button('Submit',elem_id='submit').style(full_width=_A);b2=gr.Button('Clear',elem_id='clear').style(full_width=_A) | |
state_chatgpt=gr.State([]) | |
with gr.Box(): | |
with gr.Row():chatbot_chatgpt=gr.Chatbot(elem_id='chatgpt',label='Moderation AI') | |
chat_counter_chatgpt=gr.Number(value=0,visible=False,precision=0);inputs.submit(reset_textbox,[],[inputs]);b1.click(predict_chatgpt,[inputs,chat_counter_chatgpt,chatbot_chatgpt,state_chatgpt],[chatbot_chatgpt,state_chatgpt]);b2.click(reset_chat,[chatbot_chatgpt,state_chatgpt],[chatbot_chatgpt,state_chatgpt]);ModerationAI.queue(concurrency_count=16).launch(height=2500,debug=_A) |