Upload AudioEditingCode_Demo.ipynb

AudioEditingCode_Demo.ipynb

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+# AudioEditingCode Colab Demo
+
+This notebook demonstrates how to use the `AudioEditingCode` repository in Google Colab.
+
+## 1. Clone the repository
+
+
+
+```bash
+!git clone https://github.com/HilaManor/AudioEditingCode.git
+%cd AudioEditingCode
+```
+
+## 2. Install dependencies
+
+
+
+```bash
+!pip install -r requirements.txt
+```
+
+## 3. Demo Usage
+
+Here you can add examples of how to use the code. You might need to download some audio files for demonstration.
+
+
+
+### Download example audio
+
+```bash
+!wget https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3 -O input_audio.mp3
+```
+
+### Text-Based Editing Example
+
+This example uses `main_run.py` for text-based audio editing. You will need a Hugging Face token to use models like Stable Audio Open. Please visit [Hugging Face](https://huggingface.co/settings/tokens) to get your token and replace `<YOUR_HF_TOKEN>` below.
+
+```python
+import os
+
+# Replace with your actual Hugging Face token
+os.environ["HF_TOKEN"] = "<YOUR_HF_TOKEN>"
+
+!python code/main_run.py \
+    --cfg_tar 1.5 \
+    --cfg_src 0.5 \
+    --init_aud input_audio.mp3 \
+    --target_prompt "a dog barking" \
+    --tstart 100 \
+    --model_id audioldm \
+    --results_path results_text_based
+```
+
+
+
+### Unsupervised Editing Example
+
+First, extract the principal components:
+
+```bash
+!python code/main_pc_extract_inv.py \
+    --init_aud input_audio.mp3 \
+    --model_id audioldm \
+    --results_path results_unsupervised_extract \
+    --drift_start 0 \
+    --drift_end 200 \
+    --n_evs 5
+```
+
+Then, apply the principal components:
+
+```bash
+!python code/main_pc_apply_drift.py \
+    --extraction_path results_unsupervised_extract/input_audio_audioldm_inversion_data.pt \
+    --drift_start 0 \
+    --drift_end 200 \
+    --amount 1.0 \
+    --evs 0
+```
+
+