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Create app.py
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app.py
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# Bring in deps
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import os
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#from apikey import apikey
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import streamlit as st
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from langchain.llms import OpenAI
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from langchain.prompts import PromptTemplate
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from langchain.chains import LLMChain, SequentialChain
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from langchain.memory import ConversationBufferMemory
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from langchain.utilities import WikipediaAPIWrapper
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OpenAI.organization = "org-y2x79N0uXGd9k3wnv1SBwfll"
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os.environ['OPENAI_API_KEY'] = apikey
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# App framework
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st.title('π¦π YouTube GPT Creator')
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prompt = st.text_input('Plug in your prompt here')
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# Prompt templates
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title_template = PromptTemplate(
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input_variables = ['topic'],
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template='write me a youtube video title about {topic}'
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)
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script_template = PromptTemplate(
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input_variables = ['title', 'wikipedia_research'],
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template='write me a youtube video script based on this title TITLE: {title} while leveraging this wikipedia reserch:{wikipedia_research} '
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)
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# Memory
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title_memory = ConversationBufferMemory(input_key='topic', memory_key='chat_history')
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script_memory = ConversationBufferMemory(input_key='title', memory_key='chat_history')
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# Llms
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llm = OpenAI(temperature=0.9)
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title_chain = LLMChain(llm=llm, prompt=title_template, verbose=True, output_key='title', memory=title_memory)
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script_chain = LLMChain(llm=llm, prompt=script_template, verbose=True, output_key='script', memory=script_memory)
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wiki = WikipediaAPIWrapper()
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# Show stuff to the screen if there's a prompt
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if prompt:
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title = title_chain.run(prompt)
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wiki_research = wiki.run(prompt)
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script = script_chain.run(title=title, wikipedia_research=wiki_research)
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st.write(title)
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st.write(script)
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with st.expander('Title History'):
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st.info(title_memory.buffer)
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with st.expander('Script History'):
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st.info(script_memory.buffer)
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with st.expander('Wikipedia Research'):
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st.info(wiki_research)
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