import gradio as gr import os import requests import urllib from os import path from pydub import AudioSegment img_to_text = gr.Blocks.load(name="spaces/pharma/CLIP-Interrogator") text_to_music = gr.Interface.load("spaces/fffiloni/text-2-music") from share_btn import community_icon_html, loading_icon_html, share_js def get_prompts(uploaded_image): prompt = img_to_text(uploaded_image, fn_index=1)[0] music_result = get_music(prompt) return music_result def get_music(prompt): result = text_to_music(prompt, fn_index=0) print(f"""————— NEW RESULTS prompt : {prompt} music : {result} ——————— """) url = result save_as = "file.mp3" data = urllib.request.urlopen(url) f = open(save_as,'wb') f.write(data.read()) f.close() wave_file="file.wav" sound = AudioSegment.from_mp3(save_as) sound.export(wave_file, format="wav") return wave_file, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True) css = """ #col-container {max-width: 700px; margin-left: auto; margin-right: auto;} a {text-decoration-line: underline; font-weight: 600;} .animate-spin { animation: spin 1s linear infinite; } @keyframes spin { from { transform: rotate(0deg); } to { transform: rotate(360deg); } } #share-btn-container { display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; } #share-btn { all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important; } #share-btn * { all: unset; } #share-btn-container div:nth-child(-n+2){ width: auto !important; min-height: 0px !important; } #share-btn-container .wrap { display: none !important; } """ with gr.Blocks(css=css) as demo: with gr.Column(elem_id="col-container"): gr.HTML("""

Image to Music

Sends an image in to CLIP Interrogator to generate a text prompt which is then run through Mubert text-to-music to generate music from the input image!

""") input_img = gr.Image(type="filepath", elem_id="input-img") generate = gr.Button("Generate Music from Image") music_output = gr.Audio(label="Result", type="filepath", elem_id="music-output") with gr.Group(elem_id="share-btn-container"): community_icon = gr.HTML(community_icon_html, visible=False) loading_icon = gr.HTML(loading_icon_html, visible=False) share_button = gr.Button("Share to community", elem_id="share-btn", visible=False) generate.click(get_prompts, inputs=[input_img], outputs=[music_output, share_button, community_icon, loading_icon]) share_button.click(None, [], [], _js=share_js) demo.queue(max_size=32, concurrency_count=20).launch()