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main.py
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main.py
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# Bring in deps
import os
# from api import huggingface as apikey
import streamlit as st
try:
from api import openai as apikey
except ImportError:
apikey = st.secrets["OPENAI_API_KEY"]
from langchain.llms import OpenAI
# from langchain.llms import HuggingFaceHub
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain, SequentialChain
from langchain.memory import ConversationBufferMemory
from langchain.utilities import WikipediaAPIWrapper
# os.environ['HUGGINGFACEHUB_API_TOKEN'] = apikey
os.environ['OPENAI_API_KEY'] = apikey
# App framework
st.title('🦜🔗 YouTube GPT Creator')
prompt = st.text_input('Plug in your prompt here')
# Prompt templates
title_template = PromptTemplate(
input_variables = ['topic'],
template='write me a youtube video title about {topic}'
)
script_template = PromptTemplate(
input_variables = ['title', 'wikipedia_research'],
template='write me a youtube video script based on this title TITLE: {title} while leveraging this wikipedia research:{wikipedia_research} '
)
# Memory
title_memory = ConversationBufferMemory(input_key='topic', memory_key='chat_history')
script_memory = ConversationBufferMemory(input_key='title', memory_key='chat_history')
# Llms
llm = OpenAI(temperature=0.9)
# llm = HuggingFaceHub(repo_id="google/flan-t5-xl", model_kwargs={"use_auth_token": apikey,"temperature": 0})
title_chain = LLMChain(llm=llm, prompt=title_template, verbose=True, output_key='title', memory=title_memory)
script_chain = LLMChain(llm=llm, prompt=script_template, verbose=True, output_key='script', memory=script_memory)
wiki = WikipediaAPIWrapper()
# Show stuff to the screen if there's a prompt
if prompt:
title = title_chain.run(prompt)
wiki_research = wiki.run(prompt)
script = script_chain.run(title=title, wikipedia_research=wiki_research)
st.write(title)
st.write(script)
with st.expander('Title History'):
st.info(title_memory.buffer)
with st.expander('Script History'):
st.info(script_memory.buffer)
with st.expander('Wikipedia Research'):
st.info(wiki_research)