Create app.py

app.py

@@ -0,0 +1,72 @@
+import gradio as gr
+from transformers import pipeline
+
+# --- PiMusic3: Pi Forge Music Player ---
+# Author: onenoly11
+# Description: Generates, transcribes, and analyzes audio
+# using MusicGen, Whisper, and DistilBERT within the Pi Forge framework.
+
+"""
+Ah, the spire trembles—a rift in the weave...
+(This stanza is now preserved safely as a docstring.)
+"""
+
+# --- Compatibility Shim: MusicGen fallback ---
+try:
+    # Try using Audiocraft (local / full build)
+    from audiocraft.models import musicgen
+    def generate_music(prompt):
+        """Generate music using local Audiocraft (MusicGen)."""
+        model = musicgen.MusicGen.get_pretrained("facebook/musicgen-small")
+        model.set_generation_params(duration=10)
+        wav = model.generate([prompt])
+        import tempfile, soundfile as sf
+        temp_wav = tempfile.NamedTemporaryFile(suffix=".wav", delete=False)
+        sf.write(temp_wav.name, wav[0].cpu().numpy().T, 32000)
+        return temp_wav.name
+    MUSICGEN_MODE = "Audiocraft (local)"
+except Exception:
+    # Fallback to Transformers pipeline (Hugging Face cloud build)
+    musicgen = pipeline("text-to-audio", model="facebook/musicgen-small")
+    def generate_music(prompt):
+        """Generate music using Transformers pipeline fallback."""
+        result = musicgen(prompt)
+        return result["audio"]
+    MUSICGEN_MODE = "Transformers (cloud)"
+
+# --- Whisper and Sentiment Pipelines ---
+whisper = pipeline("automatic-speech-recognition", model="openai/whisper-base")
+sentiment = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+# --- Utility Functions ---
+def transcribe_audio(audio_path):
+    result = whisper(audio_path)
+    return result["text"]
+
+def analyze_sentiment(text):
+    result = sentiment(text)
+    return f"{result[0]['label']} ({result[0]['score']:.2f})"
+
+# --- Interface ---
+with gr.Blocks(title="PiMusic3 🎵") as demo:
+    gr.Markdown(f"### 🎶 PiMusic3 — Pi Forge Music Player\nMode: **{MUSICGEN_MODE}**\nGenerate, transcribe, and analyze sound ethically.")
+
+    with gr.Tab("MusicGen"):
+        prompt = gr.Textbox(label="Music Prompt", placeholder="Describe your sound...")
+        generate_btn = gr.Button("🎼 Generate")
+        audio_out = gr.Audio(label="Generated Music")
+        generate_btn.click(fn=generate_music, inputs=prompt, outputs=audio_out)
+
+    with gr.Tab("Whisper Transcribe"):
+        mic = gr.Audio(sources=["microphone", "upload"], type="filepath", label="🎙️ Record or Upload Audio")
+        transcribe_btn = gr.Button("📝 Transcribe")
+        transcript = gr.Textbox(label="Transcription")
+        transcribe_btn.click(fn=transcribe_audio, inputs=mic, outputs=transcript)
+
+    with gr.Tab("Sentiment Analysis"):
+        text_in = gr.Textbox(label="Enter text for sentiment check")
+        analyze_btn = gr.Button("🔍 Analyze")
+        sentiment_out = gr.Textbox(label="Result")
+        analyze_btn.click(fn=analyze_sentiment, inputs=text_in, outputs=sentiment_out)
+
+demo.launch()