Update app.py

app.py

@@ -11,12 +11,12 @@ from transformers import AutoModel, AutoTokenizer
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
 
-# 🌍 Set Hugging Face Cache Directory (if needed)
+# 🌍 Set Hugging Face Cache Directory (optional)
 os.environ["HF_HOME"] = "/app/huggingface"
 os.environ["HF_HUB_DOWNLOAD_TIMEOUT"] = "60"
 
-# ✅ Unzip model if not already unzipped
-model_path = "my_model"
+# ✅ Use /tmp to avoid permission issues
+model_path = "/tmp/my_model"
 if not os.path.exists(model_path):
     with zipfile.ZipFile("my_model.zip", "r") as zip_ref:
         zip_ref.extractall(model_path)
@@ -26,7 +26,7 @@ if not os.path.exists(model_path):
 retrieval_tokenizer = AutoTokenizer.from_pretrained(model_path)
 retrieval_model = AutoModel.from_pretrained(model_path)
 
-# ✅ Start FastAPI
+# ✅ Start FastAPI app
 app = FastAPI()
 
 # 📄 Load Clinical Trials CSV