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import gradio as gr | |
from langchain import PromptTemplate | |
from langchain.chat_models import ChatOpenAI | |
from langchain.chains import LLMChain | |
from langchain_community.retrievers import WikipediaRetriever | |
import os | |
def song_meaning(song, artist): | |
artist_input = artist.title() | |
song_input = song.title() | |
query_input = f"{song_input} by {artist_input}" | |
retriever = WikipediaRetriever() | |
docs = retriever.get_relevant_documents(query=query_input) | |
template_song_meaning = """ | |
{artist} has released a song called {song}. | |
{content} | |
based on the the content above what does the song {song} by {artist} tell us about? give me a long explanations | |
""" | |
prompt_template_song_meaning = PromptTemplate(input_variables=["artist", "song", "content"], | |
template=template_song_meaning) | |
llm = ChatOpenAI(openai_api_key=os.environ['OPENAI_API_KEY'], model_name="gpt-3.5-turbo", temperature=0) | |
chain = LLMChain(llm=llm, prompt=prompt_template_song_meaning) | |
results = chain.run(artist=artist_input, song=song_input, content=docs[0].page_content) | |
return results | |
with gr.Blocks(theme=gr.themes.Soft()) as demo: | |
song = gr.Textbox(label="Song") | |
artist = gr.Textbox(label="Artist") | |
output = gr.Textbox(label="Meaning") | |
gr.Interface(fn=song_meaning, inputs=[song, artist], outputs=output) | |
example = gr.Examples([['Maroon', 'Taylor Swift'], ['Devil In Her Heart', 'The Beatles'], | |
['Time Machine', 'Jay Chou'], ['Last Farewell', 'BIGBANG']], [song, artist]) | |
demo.launch() | |