refactor: fix changes after changing the folder name in the app (after merging FT feature -> main)

Author: karinassini

apps/speech_to_text/src/core/data_prep/README.md

@@ -53,25 +53,25 @@ Run the data preparation pipeline from the project root to create domain-specifi
 
 **Training Data:**
 ```bash
-python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \
-    --source_data_dir apps/whisper_fine_tuning/data/raw/audios/matis \
-    --output_data_dir apps/whisper_fine_tuning/data/raw/samples/training \
+python apps/speech_to_text/src/core/data_prep/main_data_prep.py \
+    --source_data_dir apps/speech_to_text/data/raw/audios/matis \
+    --output_data_dir apps/speech_to_text/data/raw/samples/training \
     --domain train
 ```
 
 **Testing Data:**
 ```bash
-python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \
-    --source_data_dir apps/whisper_fine_tuning/data/raw/audios/matis \
-    --output_data_dir apps/whisper_fine_tuning/data/raw/samples/testing \
+python apps/speech_to_text/src/core/data_prep/main_data_prep.py \
+    --source_data_dir apps/speech_to_text/data/raw/audios/matis \
+    --output_data_dir apps/speech_to_text/data/raw/samples/testing \
     --domain test
 ```
 
 **Evaluation Data:**
 ```bash
-python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \
-    --source_data_dir apps/whisper_fine_tuning/data/raw/audios/matis \
-    --output_data_dir apps/whisper_fine_tuning/data/raw/samples/evaluation \
+python apps/speech_to_text/src/core/data_prep/main_data_prep.py \
+    --source_data_dir apps/speech_to_text/data/raw/audios/matis \
+    --output_data_dir apps/speech_to_text/data/raw/samples/evaluation \
     --domain evaluation
 ```
 
@@ -81,7 +81,7 @@ python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \
 After preparing your datasets, run the complete pipeline locally:
 
 ```bash
-python apps/whisper_fine_tuning/src/core/data_prep/main_silver_data_prep.py --train_datasets apps/whisper_fine_tuning/data/raw/samples/training --eval_datasets apps/whisper_fine_tuning/data/raw/samples/evaluation --test_datasets apps/whisper_fine_tuning/data/raw/samples/testing
+python apps/speech_to_text/src/core/data_prep/main_silver_data_prep.py --train_datasets apps/speech_to_text/data/raw/samples/training --eval_datasets apps/speech_to_text/data/raw/samples/evaluation --test_datasets apps/speech_to_text/data/raw/samples/testing
 ```
 
 This command will use the prepared datasets for the complete Whisper fine-tuning workflow.

apps/speech_to_text/src/core/data_prep/main_silver_data_prep.py

@@ -157,7 +157,7 @@ def main():
     logger.info("DATASET PREPARATION IN PROGRESS...")
     raw_dataset = data_prep.prepare()
 
-    save_path = "apps/whisper_fine_tuning/data/silver/dataset"
+    save_path = "apps/speech_to_text/data/silver/dataset"
     raw_dataset.save_to_disk(save_path)
     logger.info(f"Dataset saved locally at {save_path}.")
 

apps/speech_to_text/src/core/train/README.md

@@ -30,9 +30,9 @@ core/train/
    ```
 2. Launch training with the primary CLI:
    ```bash
-   python apps/whisper_fine_tuning/src/core/train/main_train.py \
+   python apps/speech_to_text/src/core/train/main_train.py \
      --model_name openai/whisper-large-v2 \
-     --dataset apps/whisper_fine_tuning/data/silver/dataset \
+     --dataset apps/speech_to_text/data/silver/dataset \
      --output_dir output_model_dir \
      --apply_lora True
    ```