✨ feat(deps): add FasterWhisper and PyAnnotate deps with Python 3.10 support

The message indicates:
1. ✨ (sparkles) for new feature/enhancement
2. Scope is dependencies (deps)
3. Description summarizes the main changes: adding FasterWhisper dependencies and setting Python version to 3.10

.python-version

@@ -0,0 +1 @@
+3.10

README.md

@@ -1,4 +1,5 @@
 ---
+
 title: What? Shaddup!
 emoji: 🚀
 colorFrom: indigo
@@ -6,10 +7,34 @@ colorTo: blue
 sdk: gradio
 sdk_version: 5.14.0
 app_file: app.py
+models:
+  - ivrit-ai/faster-whisper-v2-d4
+  - dicta-il/dictalm2.0-GGUF
+tags:
+  - audio
+  - transcription
+  - whisper
+  - whatsapp
+  - speech-to-text
+  - translation
 pinned: true
 license: apache-2.0
+python_version: "3.10"
+suggested_hardware: "cpu-upgrade"  # Optimized for CPU-only spaces
+suggested_storage: "medium"
+app_file: "app.py"
+fullWidth: true
+header: "mini"
+short_description: "Automatically transcribe & translate WhatsApp voice messages with WebGPU support!"
 thumbnail: >-
   https://cdn-uploads.huggingface.co/production/uploads/675456a8aa4b4ac8b87e7ca2/gTvgofcqCmR-2JrsDDnOs.png
+preload_from_hub:
+  - ivrit-ai/faster-whisper-v2-d4
+  - dicta-il/dictalm2.0-GGUF
+custom_headers:
+  cross-origin-embedder-policy: require-corp
+  cross-origin-opener-policy: same-origin
+  cross-origin-resource-policy: cross-origin
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

pyproject.toml

@@ -2,10 +2,11 @@
 name = "whatshutup"
 version = "0.1.0"
 description = "Add your description here"
-requires-python = ">=3.12"
+requires-python = ">=3.10,<3.11"
 dependencies = [
     "faster-whisper>=1.1.1",
     "ffmpeg>=1.4",
+    "ffmpeg-python>=0.2.0",
     "gradio>=5.14.0",
     "huggingface-hub>=0.28.1",
     "pydub>=0.25.1",
@@ -104,3 +105,20 @@ app = [
     "uvicorn==0.34.0 ; sys_platform != 'emscripten'",
     "websockets==14.2",
 ]
+fasterwhisper = [
+    "ctranslate2>=4.5.0",
+    "faster-whisper>=1.1.1",
+    "ffmpeg-python>=0.2.0",
+    "gradio>=5.14.0",
+    "intervaltree>=3.1.0",
+    "json5>=0.10.0",
+    "more-itertools>=10.6.0",
+    "pyannote-audio",
+    "srt>=3.5.3",
+    "torch>=2.6.0",
+    "torchaudio>=2.6.0",
+    "yt-dlp>=2025.1.26",
+]
+
+[tool.uv.sources]
+pyannote-audio = { url = "https://github.com/pyannote/pyannote-audio/archive/refs/heads/develop.zip" }

requirements.txt

@@ -1,5 +1,5 @@
 # This file was autogenerated by uv via the following command:
-#    uv export --output-file .\requirements.txt
+#    uv export --output-file=requirements.txt
 aiofiles==23.2.1 \
     --hash=sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107 \
     --hash=sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a
@@ -111,6 +111,9 @@ faster-whisper==1.1.1 \
     --hash=sha256:5808dc334fb64fb4336921450abccfe5e313a859b31ba61def0ac7f639383d90
 ffmpeg==1.4 \
     --hash=sha256:6931692c890ff21d39938433c2189747815dca0c60ddc7f9bb97f199dba0b5b9
+ffmpeg-python==0.2.0 \
+    --hash=sha256:65225db34627c578ef0e11c8b1eb528bb35e024752f6f10b78c011f6f64c4127 \
+    --hash=sha256:ac441a0404e053f8b6a1113a77c0f452f1cfc62f6344a769475ffdc0f56c23c5
 ffmpy==0.5.0 \
     --hash=sha256:277e131f246d18e9dcfee9bb514c50749031c43582ce5ef82c57b51e3d3955c3 \
     --hash=sha256:df3799cf5816daa56d4959a023630ee53c6768b66009dae6d131519ba4b80233
@@ -123,6 +126,9 @@ flatbuffers==25.1.24 \
 fsspec==2024.12.0 \
     --hash=sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f \
     --hash=sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2
+future==1.0.0 \
+    --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \
+    --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05
 gradio==5.14.0 \
     --hash=sha256:7f8a7fd61f37c0c0a5eb9494439f35123ccefa9106eebe0fb4e2d0e4c9a87a55
 gradio-client==1.7.0 \