Spaces:
Paused
Paused
File size: 2,260 Bytes
0d812a0 160d6a0 0d812a0 160d6a0 f95071d eb95ef9 938825c eb95ef9 938825c eb95ef9 e682173 7a8a872 0e2132d 7a8a872 e682173 938825c e682173 7a8a872 dd54a42 7a8a872 dd54a42 7a8a872 e682173 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
from ArtistCoherencyModel import ArtistCoherencyModel
import streamlit as st
import pandas as pd
from LyricGeneratorModel import LyricGeneratorModel
@st.cache_resource
def get_artists():
artists_df = pd.read_csv("artists.csv")
return list(artists_df["name"])
@st.cache_resource
def get_evaluator_model():
lyric_evaluator_model = None
with st.spinner("Loading Evaluation Model..."):
lyric_evaluator_model = ArtistCoherencyModel.from_pretrained(
"tjl223/artist-coherency-ensemble"
)
st.success("Finished Loading Evaluation Model")
return lyric_evaluator_model
@st.cache_resource
def get_generator_model():
lyric_generator_model = None
with st.spinner("Loading Generator Model..."):
lyric_generator_model = LyricGeneratorModel(
"tjl223/testllama2-qlora-lyric-generator-with-description"
)
st.success("Finished Loading Generator Model")
return lyric_generator_model
lyric_evaluator_model = get_evaluator_model()
lyric_generator_model = get_generator_model()
artist_names_list = get_artists()
generator_title = st.title("Lyric Generator")
artist_name_for_generator = st.selectbox("Artist", artist_names_list)
song_title = st.text_input("Song Title")
song_description = st.text_area("Song Description")
if st.button("Submit"):
prompt = f"[Song Title] {song_title}\n[Song Artist] {artist_name_for_generator}\n[Song Description] {song_description}"
print(f"Prompt: {prompt}")
lyrics = ""
with st.spinner("Generating Lyrics..."):
lyrics = lyric_generator_model.generate_lyrics(prompt, 1000)
st.success("Finished Generating Lyrics")
print(f"Lyrics: {lyrics}")
for line in lyrics.split("\n"):
if line.startswith("["):
st.markdown(f"**{line}**")
continue
st.write(line)
evaluator_title = st.title("Lyric Evaluator")
artist_name_for_evaluator = st.selectbox(
"Artist", artist_names_list, key="genorator_select"
)
song_lyrics = st.text_area("Song Lyrics")
if st.button("Submit", key="genorator_submit"):
score = lyric_evaluator_model.generate_artist_coherency_score(
artist_name_for_evaluator, song_lyrics
)
print(f"Score: {score}")
st.write(f"Score: {score}")
|