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import streamlit as st |
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from langchain import OpenAI, PromptTemplate, LLMChain |
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from langchain.text_splitter import CharacterTextSplitter |
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from langchain.chains.mapreduce import MapReduceChain |
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from langchain.prompts import PromptTemplate |
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from langchain.chat_models import AzureChatOpenAI |
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from langchain.chains.summarize import load_summarize_chain |
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from langchain.chains import AnalyzeDocumentChain |
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from PyPDF2 import PdfReader |
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from langchain.document_loaders import TextLoader |
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from langchain.indexes import VectorstoreIndexCreator |
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from langchain.document_loaders import PyPDFLoader |
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import os |
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import openai |
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import os |
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os.environ["OPENAI_API_TYPE"] = "azure" |
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os.environ["OPENAI_API_VERSION"] = "2023-03-15-preview" |
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openai.api_type = "azure" |
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openai.api_base = "https://embeddinguseopenai.openai.azure.com/" |
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openai.api_version = "2023-03-15-preview" |
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openai.api_key = os.environ["OPENAI_API_KEY"] |
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st.title("Wipro demo with azure cognitive 2 ") |
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atemprature = st.slider('Fact vs Creative?', 0, 10, 1) |
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atemprature = atemprature / 10.0 |
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yourquestion = st.text_input('Your Question', 'First identify the indicators required as per EFRAG Environmental document. List these indicators. For each of these indicators, find out how Wipro is performing.') |
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st.write('Your input is ', yourquestion) |
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if st.button("Ask Questions "): |
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template = """ |
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You are an AI assistant. |
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{concept} |
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""" |
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response = openai.ChatCompletion.create( |
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engine="gpt-35-turbo", |
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messages = [{"role":"system","content":"You are an AI assistant that helps people find information."},{"role":"user","content":yourquestion}], |
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temperature=atemprature, |
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max_tokens=800, |
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top_p=1, |
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frequency_penalty=0, |
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presence_penalty=0, |
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stop=None) |
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st.write(response) |
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if st.button("Ask Questions Simplify "): |
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template = """ |
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You are an AI assistant. |
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{concept} |
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""" |
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response = openai.ChatCompletion.create( |
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engine="gpt-35-turbo", |
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messages = [{"role":"system","content":"You are an AI assistant that helps people find information. Please explain the information like i am a five."},{"role":"user","content":yourquestion}], |
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temperature=0, |
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max_tokens=800, |
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top_p=1, |
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frequency_penalty=0, |
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presence_penalty=0, |
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stop=None) |
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st.write(response) |
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if st.button("Ask trying here "): |
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template = """ |
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You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. |
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Explain the concept of {concept} like i am a five |
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""" |
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prompt = PromptTemplate( |
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input_variables=["concept"], |
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template=template, |
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) |
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from langchain.chains import LLMChain |
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chain = LLMChain(llm=llm, prompt=prompt) |
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st.write(chain.run(yourquestion)) |
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if st.button("Ask Hindi "): |
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template = """ |
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You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. |
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Explain the concept of {concept} in Hindi |
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""" |
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prompt = PromptTemplate( |
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input_variables=["concept"], |
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template=template, |
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) |
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from langchain.chains import LLMChain |
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chain = LLMChain(llm=llm, prompt=prompt) |
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st.write(chain.run(yourquestion)) |
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