diff --git a/app/README.md b/app/README.md
index b02d932..c5759c3 100644
--- a/app/README.md
+++ b/app/README.md
@@ -4,9 +4,9 @@ emoji: 🐠
 colorFrom: yellow
 colorTo: blue
 sdk: gradio
-sdk_version: 6.7.0
+sdk_version: 6.20.0
 app_file: app.py
-python_version: 3.11
+python_version: 3.12.12
 pinned: true
 license: cc
 ---
diff --git a/app/app.py b/app/app.py
index fd5e3c3..1b046b0 100644
--- a/app/app.py
+++ b/app/app.py
@@ -1,11 +1,18 @@
+import tensorflow as tf
 import gradio as gr
 from cqfe_utils import cqfe
-cqfe_interface = gr.Interface(fn=cqfe,
-                              inputs=gr.Audio(type='filepath', format='wav', label='Audio Input File'),
-                              outputs=[gr.File(type='filepath', label='F0 Output Files'),
-                                       gr.Plot(label='F0 Estimation Plot')],
-                              title="Choral Quartets F0 Extractor (v0.3.0)",
-                              description="An application that uses Multi-Pitch Estimation and Voice Assignment to transform audio files with Choral Quartets recordings into files (CSV, HDF5 and MIDI) containing F0 estimations for each voice (Soprano, Alto, Tenor and Bass). The processing may take a few minutes.")
 
 if __name__ == "__main__":
+    physical_devices = tf.config.list_physical_devices('GPU')
+    if physical_devices:
+        tf.config.experimental.set_memory_growth(physical_devices[0], True)
+
+    cqfe_interface = gr.Interface(fn=cqfe,
+                            inputs=gr.Audio(type='filepath', format='wav', label='Audio Input File'),
+                            outputs=[gr.File(type='filepath', label='F0 Output Files'),
+                                    gr.Plot(label='F0 Estimation Plot')],
+                            title="Choral Quartets F0 Extractor (v0.4.0)",
+                            description="An application that uses Multi-Pitch Estimation and Voice Assignment to transform audio files with Choral Quartets recordings into files (CSV, HDF5 and MIDI) containing F0 estimations for each voice (Soprano, Alto, Tenor and Bass). The processing may take a few minutes.")
+
+
     cqfe_interface.launch(share=True)
\ No newline at end of file
diff --git a/app/cqfe_utils.py b/app/cqfe_utils.py
index bcfbb71..7eb8cb8 100644
--- a/app/cqfe_utils.py
+++ b/app/cqfe_utils.py
@@ -2,6 +2,7 @@
 import math
 import mido
 import pumpp
+import spaces
 import librosa
 import numpy as np
 import pandas as pd
@@ -222,6 +223,7 @@ def compute_pump_features(pump, audio_fpath):
 
 ############################################################
 
+@spaces.GPU(duration=60)
 def get_mpe_prediction(model, audio_file=None):
     """Generate output from a model given an input numpy file.
        Part of this function is part of deepsalience
@@ -259,6 +261,7 @@ def get_mpe_prediction(model, audio_file=None):
 
 ############################################################
 
+@spaces.GPU(duration=60)
 def get_va_prediction(model, f0_matrix):
     splits = f0_matrix.shape[1]//256
     splits_diff = 256 - (f0_matrix.shape[1] - splits * 256)
diff --git a/app/pyproject.toml b/app/pyproject.toml
index caa95a1..fb543b4 100644
--- a/app/pyproject.toml
+++ b/app/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "Choral-Quartets-F0-Extractor"
-version = "0.3.0"
+version = "0.4.0"
 description = "An application that uses Multi-Pitch Estimation and Voice Assignment to transform audio files with Choral Quartets recordings into files (CSV, HDF5 and MIDI) containing F0 estimations for each voice (Soprano, Alto, Tenor and Bass)."
 authors = ["André Paiva (Xornotor) <andre.paiva@ufba.br>"]
 license = "cc"
@@ -8,9 +8,9 @@ readme = "README.md"
 packages = [{include = "Choral_Quartets_F0_Extractor"}]
 
 [tool.poetry.dependencies]
-python = "^3.11"
+python = "^3.12.12"
 tensorflow-cpu = "^2.14"
-gradio = "^6.7"
+gradio = "^6.20"
 typing-extensions = "^4.15"
 mido = "^1.3.3"
 pumpp = "^0.6"
@@ -20,8 +20,9 @@ pandas = "^2.2"
 hdf5plugin = "^4.4"
 h5py = "^3.9"
 tables = "^3.9"
-librosa = "^0.10"
+librosa = "^0.11"
 matplotlib = "^3.8"
+spaces = "^0.51.1"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/app/requirements.txt b/app/requirements.txt
index 2de9f2d..2483987 100644
--- a/app/requirements.txt
+++ b/app/requirements.txt
@@ -1,5 +1,5 @@
-tensorflow-cpu==2.14.0
-gradio==6.7.0
+tensorflow==2.14.0
+gradio==6.20.0
 typing-extensions==4.15
 mido==1.3.3
 pumpp==0.6.0
@@ -9,6 +9,7 @@ pandas==2.2.2
 hdf5plugin==4.4.0
 h5py==3.9.0
 tables==3.9.2
-soundfile==0.13.1
+soundfile==0.14.0
 librosa==0.11.0
 matplotlib==3.8.0
+spaces==0.51.1
diff --git a/requirements.txt b/requirements.txt
index 31f7c10..4156efd 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -13,14 +13,14 @@ seaborn==0.13.2
 jupyterlab==4.5.10
 ipywidgets==8.1.1
 librosa==0.11.0
-mir_eval==0.7
-ray==2.54.0
+mir_eval==0.8.2
+ray==2.56.1
 tensorflow==2.14.0
 tensorboard==2.14.0
 scikit-learn==1.5.1
-gradio==6.7.0
-pyarrow==17.0.0
-typing-extensions==4.8.0
+gradio==6.20.0
+pyarrow==25.0.0
+typing-extensions==4.15
 pydantic==2.8.2
 pydantic-core==2.20.1
 pillow==12.3.0
@@ -31,7 +31,7 @@ muda==0.4.1
 pescador==3.0.0
 pumpp==0.6.0
 pysoundfile==0.9.0.post1
-soundfile==0.13.1,
+soundfile==0.14.0,
 sox==1.5.0
 samplerate==0.2.1
 resampy==0.4.3