Bugfix: updated versions

README.md

@@ -4,7 +4,7 @@ emoji: 🐠
 colorFrom: yellow
 colorTo: blue
 sdk: gradio
-sdk_version: 4.38.1
+sdk_version: 4.40.0
 app_file: app.py
 pinned: true
 license: cc

app.py

@@ -2,9 +2,9 @@ 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='file', label='F0 Output Files'),
+                              outputs=[gr.File(type='filepath', label='F0 Output Files'),
                                        gr.Plot(label='F0 Estimation Plot')],
-                              title="Choral Quartets F0 Extractor (v0.2.0-beta)",
+                              title="Choral Quartets F0 Extractor (v0.2.1-beta)",
                               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()
+cqfe_interface.launch()

app_test.ipynb

@@ -2,17 +2,58 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1/1 [==============================] - 10s 10s/step\n",
+      "1/1 [==============================] - 10s 10s/step\n",
+      "1/1 [==============================] - 5s 5s/step\n",
+      "1/1 [==============================] - 1s 885ms/step\n",
+      "1/1 [==============================] - 0s 496ms/step\n"
+     ]
+    }
+   ],
    "source": [
     "import gradio as gr\n",
     "from cqfe_utils import cqfe\n",
     "cqfe_interface = gr.Interface(fn=cqfe,\n",
     "                              inputs=gr.Audio(type='filepath', format='wav', label='Audio Input File'),\n",
-    "                              outputs=[gr.File(type='file', label='F0 Output Files'),\n",
+    "                              outputs=[gr.File(type='filepath', label='F0 Output Files'),\n",
     "                                       gr.Plot(label='F0 Estimation Plot')],\n",
-    "                              title=\"Choral Quartets F0 Extractor (v0.2.0-beta)\",\n",
+    "                              title=\"Choral Quartets F0 Extractor (v0.2.1-beta)\",\n",
     "                              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.\")\n",
     "\n",
     "cqfe_interface.launch()"
@@ -35,7 +76,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.11.9"
   },
   "orig_nbformat": 4
  },

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "Choral-Quartets-F0-Extractor"
-version = "0.2.0-beta"
+version = "0.2.1-beta"
 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) <[email protected]>"]
 license = "cc"
@@ -9,20 +9,19 @@ packages = [{include = "Choral_Quartets_F0_Extractor"}]
 
 [tool.poetry.dependencies]
 python = "^3.11"
-tensorflow = "^2.13"
-gradio
-typing-extensions
-mido
-pumpp
-numpy
-scipy
-pandas
-hdf5plugin
-h5py
-tables
-librosa
-matplotlib
-
+tensorflow = "^2.14"
+gradio = "^4.40"
+typing-extensions = "^4.80"
+mido = "^1.3"
+pumpp = "^0.6"
+numpy = "^1.26"
+scipy = "^1.14"
+pandas = "^2.2"
+hdf5plugin = "^4.4"
+h5py = "^3.9"
+tables = "^3.9"
+librosa = "^0.10"
+matplotlib = "^3.8"
 
 [build-system]
 requires = ["poetry-core"]

requirements.txt

@@ -1,13 +1,13 @@
-tensorflow <2.14
-gradio
-typing-extensions
-mido
-pumpp
-numpy
-scipy
-pandas
-hdf5plugin
-h5py
-tables
-librosa
-matplotlib
+tensorflow==2.14.0
+gradio==4.40.0
+typing-extensions==4.8.0
+mido==1.3.2
+pumpp==0.6.0
+numpy==1.26.0
+scipy==1.14.0
+pandas==2.2.2
+hdf5plugin==4.4.0
+h5py==3.9.0
+tables==3.9.2
+librosa==0.10.2.post1
+matplotlib==3.8.0