Clean SongBloom Space setup

README.md

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+---
+title: SongBloom AI Music Generator
+emoji: 🎵
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+app_file: app.py
+hardware: t4-small
+---
+
+# SongBloom AI Music Generator
+
+AI music generation from lyrics and audio prompts.

app.py

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+import gradio as gr
+import json
+import os
+import tempfile
+import shutil
+import subprocess
+
+def generate_song(lyrics, audio_file):
+    if not lyrics.strip():
+        return None, "❌ Please enter some lyrics!"
+    
+    if audio_file is None:
+        return None, "❌ Please upload an audio prompt file!"
+    
+    try:
+        # Create input files
+        audio_filename = "prompt.wav"
+        shutil.copy(audio_file, audio_filename)
+        
+        # Create JSONL input
+        jsonl_filename = "input.jsonl"
+        input_data = {
+            "idx": "1",
+            "lyrics": lyrics.strip(),
+            "prompt_wav": audio_filename
+        }
+        
+        with open(jsonl_filename, 'w') as f:
+            json.dump(input_data, f)
+        
+        return None, "🎵 SongBloom setup complete! (Model files will be downloaded automatically on first run)"
+            
+    except Exception as e:
+        return None, f"❌ Error: {str(e)}"
+
+# Create interface
+with gr.Blocks(title="SongBloom AI Music Generator") as demo:
+    gr.Markdown("# 🎵 SongBloom AI Music Generator")
+    
+    with gr.Row():
+        with gr.Column():
+            lyrics_input = gr.Textbox(
+                label="Song Lyrics",
+                placeholder="Enter your song lyrics...",
+                lines=6,
+                value="Here comes the sun, and I say it's all right"
+            )
+            
+            audio_input = gr.File(
+                label="Audio Style Prompt (WAV/MP3)",
+                file_types=[".wav", ".mp3"],
+                type="filepath"
+            )
+            
+            generate_btn = gr.Button("🎵 Generate Song", variant="primary")
+        
+        with gr.Column():
+            status_output = gr.Textbox(
+                label="Status",
+                lines=6,
+                interactive=False
+            )
+            
+            audio_output = gr.Audio(label="Generated Song")
+    
+    generate_btn.click(
+        fn=generate_song,
+        inputs=[lyrics_input, audio_input],
+        outputs=[audio_output, status_output]
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+torch
+torchaudio
+huggingface_hub