Update app.py

app.py

@@ -5,8 +5,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 import torch
 import random
 
-# Use CodeGen instead of StarCoder (no authentication needed)
-MODEL_NAME = "Salesforce/codegen-350M-mono"
+# Use much faster, smaller model
+MODEL_NAME = "microsoft/DialoGPT-small"
 
 # Initialize model with pipeline for easier usage
 try:
@@ -162,14 +162,15 @@ WORKING_PATTERNS = {
         """stack(
   s("bd ~ sn ~").gain(0.9),
   s("hh ~ hh hh ~ hh ~ hh").gain(0.5),
-  n("0 0 3 5").s("sawtooth").octave(2).lpf(1000).gain(0.8),
+  n("0 0 3 5").s("sawtooth").octave(1).lpf(1000).gain(0.8),
   s("~ ~ ~ [clap clap]").slow(2).gain(0.6)
 ).scale("c:minor")""",
 
         """stack(
   s("bd ~ [bd sn] ~").gain(0.9),
   s("[hh ch]*4").degradeBy(0.1).gain(0.5),
-  n("[0 3 5]*2").s("square").octave(2).lpf(800).gain(0.8),
+  n("[0 3 5]*2").s("sine").octave(1).lpf(800).gain(0.9),
+  n("0 3 5 7").s("square").octave(3).lpf(1200).gain(0.4),
   s("~ ~ clap ~").room(0.3).gain(0.7),
   s("~ [perc:0]/4 ~ [perc:1]/4").gain(0.4)
 ).scale("a:minor")""",
@@ -177,14 +178,16 @@ WORKING_PATTERNS = {
         """stack(
   s("bd ~ sn [~ bd]").sometimes(fast(2)).gain(0.9),
   s("hh*8").degradeBy(0.2).gain(0.4),
-  n("0 ~ 3 ~").s("sawtooth").octave(2).lpf(1200).sometimes(add(note(7))).gain(0.8),
+  n("0 ~ 3 ~").s("sawtooth").octave(1).lpf(1200).gain(0.9),
+  n("[0 3 5 7]*2").s("triangle").octave(3).gain(0.5),
   s("~ ~ [clap rim] ~").gain(0.6).room(0.4)
 ).scale("d:minor")""",
 
         """stack(
   s("[bd bd] ~ sn ~").gain(0.9),
   s("~ hh ~ [hh ch hh]").gain(0.5),
-  n("[0 3] [5 0] [7 3] [5 0]").s("sine").octave(2).lpf(1500).gain(0.7),
+  n("[0 3] [5 0] [7 3] [5 0]").s("sine").octave(1).lpf(1500).gain(0.8),
+  n("0 7 4 2").s("square").octave(3).delay(0.125).gain(0.4),
   s("~ ~ clap ~").delay(0.125).gain(0.7)
 ).scale("g:minor")"""
     ]
@@ -202,7 +205,7 @@ def get_random_working_pattern(genre, complexity="moderate"):
             "ambient": 'n("[0 2 4]/3").s("sine").octave(3).slow(8).room(0.9).gain(0.6).scale("d:minor")',
             "breakbeat": 's("[bd sn]*2, hh*8").speed(0.9).gain(0.8)',
             "experimental": 's("bd ~ [perc:0 perc:1]").degradeBy(0.4).speed(rand.range(0.8,1.2)).gain(0.7)',
-            "hiphop": 's("bd ~ sn ~, hh ~ hh hh ~ hh ~ hh").gain(0.8)'
+            "hiphop": 's("bd ~ sn ~, hh ~ hh hh ~ hh ~ hh").gain(0.8).add(n("0 0 3 5").s("sine").octave(1).gain(0.8))'
         }
         return simple_patterns.get(genre, simple_patterns["techno"])
     
@@ -402,7 +405,7 @@ with gr.Blocks(title="Working Strudel Generator", theme=gr.themes.Soft()) as app
     🎛️ **Real Strudel syntax** - copy & paste ready  
     🎨 **Reactive Hydra visuals** included  
     🎵 **6 genres** with authentic patterns  
-    🤖 **Optional AI generation** for creative variations
+    🤖 **Optional AI** (recommended: keep AI off for speed)
     
     **Usage:** Describe music → Generate → Copy to [strudel.cc](https://strudel.cc) → Play!
     """)
@@ -435,7 +438,7 @@ with gr.Blocks(title="Working Strudel Generator", theme=gr.themes.Soft()) as app
                 )
                 
                 use_ai = gr.Checkbox(
-                    label="🤖 Use AI generation",
+                    label="🤖 Use AI (slower)",
                     value=False
                 )