fixing cache

src/detector.py

@@ -2,14 +2,18 @@ import os
 from huggingface_hub import snapshot_download
 from transformers import pipeline
 
-# Create and set custom cache dir
-cache_dir = "./hf_cache"
+# Use /tmp which is always writable in Hugging Face Spaces
+cache_dir = "/tmp/hf_cache"
 os.makedirs(cache_dir, exist_ok=True)
 os.environ["TRANSFORMERS_CACHE"] = cache_dir
 
-# Manually download model to avoid permission/lock errors
+# Download model to the writable tmp directory
 model_path = snapshot_download(repo_id="openai/whisper-base", cache_dir=cache_dir)
 
+# Load the pipeline from the local path
+asr = pipeline("automatic-speech-recognition", model=model_path)
+
+
 # Load the pipeline from the local path
 asr = pipeline("automatic-speech-recognition", model=model_path)
 

src/streamlit_app.py

@@ -4,14 +4,6 @@ from downloader import download_video
 from extractor import extract_audio
 from detector import detect_accent
 
-# Create the cache directory if it doesn't exist
-cache_dir = "./hf_cache"
-os.makedirs(cache_dir, exist_ok=True)
-
-# Set it as the Transformers cache
-os.environ["TRANSFORMERS_CACHE"] = cache_dir
-
-
 st.set_page_config(page_title="Accent Detector", page_icon="🎙️")
 
 st.title("🎙️ English Accent Classifier")