Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import torch
+from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer
+
+class SongRemixer:
+    def __init__(self, model_name="facebook/wav2vec2-base-960h"):
+        self.model = Wav2Vec2ForCTC.from_pretrained(model_name)
+        self.tokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)
+
+    def remix_song(self, input_song, genre, length):
+        # Placeholder for song remixing logic
+        # Implement remixing logic here to change genre and length
+        remixed_song = input_song  # Placeholder, replace with actual remixing logic
+        return remixed_song
+
+song_remixer = SongRemixer()
+
+def remix_song(input_song, genre, length):
+    remixed_song = song_remixer.remix_song(input_song, genre, length)
+    return remixed_song
+
+input_song = gr.inputs.Audio(label="Input Song (.mp3, .wav, .mp4)")
+genre = gr.inputs.Dropdown(choices=["Rock", "Pop", "Jazz", "Hip-hop", "Electronic"], label="Genre")
+length = gr.inputs.Slider(minimum=0, maximum=8.83, default=3, label="Length (in minutes)")
+
+gr.Interface(remix_song, inputs=[input_song, genre, length], outputs="audio").launch()