app.py

from transformers import pipeline
import gradio as gr
from song_guesser import SongGuesser
from list_songs import ListSongs

pipe = pipeline(model="SamuelHarner/whisper-tuned")  # change to "your-username/the-name-you-picked"

def transcribe(audio):
    text = pipe(audio)["text"]
    return text

def get_song_guess(audio):
    user_query = transcribe(audio)
    output = "Vad vi hörde från dig: " + user_query + "\n\nVi tror att du sjöng: " + SongGuesser.guess_song(user_query)
    return output

iface = gr.Interface(
    fn=get_song_guess, 
    inputs=gr.Audio(sources=["microphone"], type="filepath"),
    outputs="text",
    title="Sjung en sång och låt oss gissa  🎤 🎄",
    description="Sing a Swedish Christmas song and see if we can guess it. If our guess is wrong, try singing more clearly, more of the lyrics, or another song and maybe we will get it the next time!",
)

markdown_text = "The songs that we can guess are: \n" + ListSongs.get_song_list()

iface.add_component(gr.Markdown(markdown_text))

iface.launch()