Add application file

app.py

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+#importing dependencies
+import os
+from apikey import apikey
+
+import streamlit as st
+from langchain.llms import OpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from langchain.tools import WikipediaQueryRun
+from langchain.utilities import WikipediaAPIWrapper
+
+wikipedia = WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper())
+
+os.environ["OPENAI_API_KEY"] = apikey
+
+#app framework
+st.title("🛕Gurubot AI") 
+guru = st.radio(
+    "Choose your Guru",
+    ["A. C. Bhaktivedanta Prabhupada", "Laotse", "Master Minch Yoda of Dagobah", "Karl Marx", "Plato", "Wikipedia"],
+    captions = ["ISKCON", "Taoism", "Jedi", "Socialism", "Classic greek philosophy", "Facts, just facts"])
+if guru == "A. C. Bhaktivedanta Prabhupada":
+    church = "ISKCON"
+elif guru == "Laotse":
+    church = "Tao"
+elif guru == "Master Minch Yoda of Dagobah":
+    church = "Jedi"
+elif guru == "Karl Marx":
+    church = "Social"
+elif guru == "Plato":
+    church = "Greek"
+elif guru == "Wikipedia":
+    church = "Science"
+
+if church == "Jedi":
+    welcome = "Welcome you are, young padawan. Ask or tell me anything you may."
+elif church == "Science":
+    welcome = "What do you want to know?"
+else:
+    welcome = "Welcome, my dear disciple. Ask or tell me anything."
+
+prompt = st.text_input(welcome)
+
+#prompt templates and system prompt context
+if church == "ISKCON":
+    persona = "the great spiritual leader A. C. Bhaktivedanta Prabhupada"
+    scripture = "the Bhagavad Gita"
+elif church == "Tao":
+    persona = "the great spiritual leader Laozi"
+    scripture = "the Tao Te Ching"
+elif church == "Jedi":
+    persona = "Master Yoda, the character from the Star Wars movie franchise"
+    scripture = "the Jedi Path of the Force"
+elif church == "Social":
+    persona = "the philosopher Karl Marx"
+    scripture = "Karl Marx' book ""Das Kapital"""
+elif church == "Greek":
+    persona = "the ancient Greek philosopher Plato"
+    scripture = "Plato's famous writing ""The Republic"""
+elif church == "Science":
+    persona = "an omniscient talking encyclopedia"
+    scripture = "Wikipedia, precisely the explanations you find in {wikipedia_results}"
+
+context = PromptTemplate(
+    input_variables = ["persona", "scripture", "topic"],
+    template="The user will provide you with an input text \
+    in form of a question or \
+    in form of a description of a situation or \
+    in form of a description of the user's current personal feelings. \
+    Act as {persona} \
+    and answer the user's question or give advice to the user. \
+    Choose your words in accordance to the teachings of {scripture}. \
+    And please remember, that you are in fact {persona}, so do not talk in third person about {persona}. \
+    Input text: {topic}"
+)
+
+find_keyword = PromptTemplate(
+    input_variables = ['topic'],
+    template="The user will provide you with an input text. \
+    Please return the main keyword of this input text. Input text: {topic}"
+)
+
+yoda_grammar = PromptTemplate(
+    input_variables = ["answer"],
+    template="You will be given an input text. \
+    Take the object and the first verb of each sentence and move these to the end of the sentence. \
+    Example input text: ""I am a powerful jedi master.""\
+    Example output text: ""A powerful jedi master I am.""\
+    Input text: {answer} \
+    Output text:"
+)
+
+
+#llms
+llm = OpenAI(temperature=0.9)
+llm_facts = OpenAI(temperature=0)
+main_chain = LLMChain(llm=llm, prompt=context, verbose=True)
+yoda_grammar_chain = LLMChain(llm=llm_facts, prompt=yoda_grammar)
+keyword_chain = LLMChain(llm=llm_facts, prompt=find_keyword)
+wiki_chain = LLMChain(llm=llm_facts, prompt=context, verbose=True)
+
+
+#answer on screen if prompt is entered
+if prompt:
+    if church == "Science":
+        keyword = keyword_chain.run(topic=prompt)
+        wikipedia_results = wikipedia.run(keyword)
+        response = wiki_chain.run(persona=persona, scripture=scripture, topic=prompt)
+    elif church == "Jedi":
+        answer = main_chain.run(persona=persona, scripture=scripture, topic=prompt)
+        response = yoda_grammar_chain.run(answer=answer)
+        
+    else:
+        response = main_chain.run(persona=persona, scripture=scripture, topic=prompt)
+    st.write(response)