updated python version

Dockerfile

@@ -1,5 +1,5 @@
 # Use an official Python image
-FROM python:3.9
+FROM python:3.11
 
 # Set working directory
 WORKDIR /app

README.md

@@ -9,6 +9,7 @@ app_file: app.py
 pinned: false
 license: other
 short_description: Anticipatory Music Transformer wrapped in HARP
+python_version: 3.11.11
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import spaces  # Enables ZeroGPU on Hugging Face
+#import spaces  # Enables ZeroGPU on Hugging Face
 from transformers import AutoModelForCausalLM
 from anticipation.sample import generate
 from anticipation.convert import events_to_midi, midi_to_events
@@ -38,7 +38,7 @@ def load_amt_model(model_choice):
 
 
 
-@spaces.GPU
+#@spaces.GPU
 def generate_accompaniment(midi_file, model_choice, selected_midi_program, history_length):
     """Generates accompaniment for the entire MIDI input, conditioned on the user-selected history length."""
     

requirements.txt

@@ -1,9 +1,17 @@
-# Standard dependencies
-transformers
-torch
-numpy
-midi2audio
-pretty_midi
-# Additional dependencies for AMT
-git+https://github.com/jthickstun/anticipation.git
 -e git+https://github.com/TEAMuP-dev/pyharp.git#egg=pyharp
+demucs
+dora-search
+einops
+julius>=0.2.3
+lameenc>=1.2
+openunmix
+pyyaml
+tqdm
+torch>=1.8.1, <2.1
+torchaudio>=0.8, <2.1
+diffq>=0.2.1  
+ffmpeg  
+numpy<2
+scipy  
+soundfile  
+hydra-core>=1.1