productizationlabs
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acb314a
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c884d88
Delete app.py
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app.py
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import os
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from gpt_index import SimpleDirectoryReader,GPTSimpleVectorIndex,LLMPredictor,PromptHelper
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from langchain import OpenAI
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import gradio as gr,openai
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API_URL='https://api.openai.com/v1/chat/completions'
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openai.api_key=os.environ['OPENAI_API_KEY']
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top_p_chatgpt=1.0
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temperature_chatgpt=1.0
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def predict_chatgpt(inputs,chat_counter_chatgpt,chatbot_chatgpt=[],history=[]):
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M='user';J='content';I='role';D=chat_counter_chatgpt;C=inputs;A=history
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if D!=0:
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E=[]
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for K in chatbot_chatgpt:F={};F[I]=M;F[J]=K[0];G={};G[I]='assistant';G[J]=K[1];E.append(F);E.append(G)
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H={};H[I]=M;H[J]=C;E.append(H)
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D+=1;A.append('You asked: '+C);N=GPTSimpleVectorIndex.load_from_disk('IPCIndex.json');O=N.query(C);P=O.response.split();L=0;B='';S=0
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for Q in P:
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B=B+' '+Q
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if L==0:A.append(' '+B)
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else:A[-1]=B
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R=[(A[B],A[B+1])for B in range(0,len(A)-1,2)];L+=1;yield(R,A,D)
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def reset_textbox():return gr.update(value='')
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def reset_chat(chatbot,state):return None,[]
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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 LegalProdigy:
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with gr.Row():
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with gr.Column(scale=14):
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with gr.Box():
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with gr.Row():
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with gr.Column(scale=13):inputs=gr.Textbox(label='Ask any legal query ⤵️ Try : Explain arbitration process')
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with gr.Column(scale=1):b1=gr.Button('Submit',elem_id='submit').style(full_width=True);b2=gr.Button('Clear',elem_id='clear').style(full_width=True)
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state_chatgpt=gr.State([])
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with gr.Box():
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with gr.Row():chatbot_chatgpt=gr.Chatbot(elem_id='chatgpt',label='Conversational AI for Legal')
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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]);LegalProdigy.queue(concurrency_count=16).launch(height=2500,debug=True)
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