ChandJain commited on
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061b38b
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  1. .env +1 -0
  2. app.py +34 -0
  3. app2.py +54 -0
  4. requirements.txt +5 -0
.env ADDED
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+ OPEN_API_KEY="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"
app.py ADDED
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+ # Q&A Chatbot
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+ from langchain_openai import OpenAI
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+
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+ from dotenv import load_dotenv
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+
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+ load_dotenv() # take environment variables from .env.
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+
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+ import streamlit as st
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+ import os
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+
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+
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+ ## Function to load OpenAI model and get respones
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+
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+ def get_openai_response(question):
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+ llm=OpenAI(openai_api_key=os.environ["OPEN_API_KEY"],temperature=0.5)
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+ response=llm.invoke(question)
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+ return response
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+
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+ ##initialize our streamlit app
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+
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+ st.set_page_config(page_title="Q&A Chatbot")
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+
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+ st.header("Q&A Chatbot")
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+
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+ input=st.text_input("Question: ",key="input")
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+ response=get_openai_response(input)
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+
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+ submit=st.button("Answer")
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+
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+ ## If ask button is clicked
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+
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+ if submit:
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+ st.subheader("The Answer is")
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+ st.write(response)
app2.py ADDED
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+ # Q&A Chatbot
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+ from langchain_openai import OpenAI
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+
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+ from dotenv import load_dotenv
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+
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+ load_dotenv() # take environment variables from .env.
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+
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+ import streamlit as st
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+ import os
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+
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+ from langchain.prompts import PromptTemplate
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+ from langchain.chains import LLMChain
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+ from langchain.chains import SequentialChain
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+
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+
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+ ## Function to load OpenAI model and get respones
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+
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+ def get_openai_response(country_name):
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+ llm=OpenAI(openai_api_key=os.environ["OPEN_API_KEY"],temperature=0.5)
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+ capital_template=PromptTemplate(input_variables=['country'],
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+ template="Please tell me the capital of the {country}")
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+ capital_chain=LLMChain(llm=llm,prompt=capital_template,output_key="capital")
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+
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+ famous_template=PromptTemplate(input_variables=['capital'],
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+ template="Suggest me some amazing places to visit in {capital}")
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+ famous_chain=LLMChain(llm=llm,prompt=famous_template,output_key="places")
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+
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+ eats_template=PromptTemplate(input_variables=['capital'],
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+ template="Suggest the top 5 famous dishes to eat in {capital}")
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+ eats_chain=LLMChain(llm=llm,prompt=eats_template,output_key="dishes")
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+
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+ chain=SequentialChain(chains=[capital_chain,famous_chain,eats_chain],
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+ input_variables=['country'],
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+ output_variables=['capital',"places","dishes"])
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+
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+ response=chain.invoke({'country':country_name})
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+ return response
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+
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+ ##initialize our streamlit app
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+
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+ st.set_page_config(page_title="Q&A Chatbot")
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+
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+ st.header("January Capital Guide")
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+
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+ input=st.text_input("Enter Country Name: ",key="input")
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+ response=get_openai_response(input)
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+
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+ submit=st.button("Answer")
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+
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+ ## If ask button is clicked
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+
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+ if submit:
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+ st.subheader("The Answer is")
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+ st.write(response)
requirements.txt ADDED
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+ langchain
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+ openai
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+ streamlit
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+ huggingface_hub
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+ python-dotenv