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from dotenv import load_dotenv
load_dotenv()
import json
from collections import defaultdict
from pathlib import Path
from pprint import pprint
from langchain.chains import LLMChain
from langchain.chat_models import ChatOpenAI
from langchain.prompts import PromptTemplate
prompt = PromptTemplate(
input_variables=["song"],
template=Path("prompts/summary.prompt").read_text(),
)
llm = ChatOpenAI(temperature=0)
chain = LLMChain(llm=llm, prompt=prompt)
with open(
"/home/zuppif/Documents/Work/ActiveLoop/ai-shazam/data/lyrics_with_spotify_url.json",
"r",
) as f:
data = json.load(f)
lyrics_summaries = {}
for movie, lyrics in data.items():
for lyric in lyrics:
print(f"Creating summary for {lyric['name']}")
summary = chain.run(song=lyric["text"])
lyrics_summaries[lyric["name"].lower()] = {
"summary": summary,
"embed_url": lyric["embed_url"],
}
with open(
"/home/zuppif/Documents/Work/ActiveLoop/ai-shazam/data/lyrics_with_spotify_url_and_summary.json",
"w",
) as f:
json.dump(lyrics_summaries, f)
pprint(lyrics_summaries)
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