recoded secrets section

app.py

@@ -143,17 +143,18 @@ cache_path = 'data/impact_theory_cache.parquet'
 data = load_data(data_path)
 cache = None # load_content_cache(cache_path) 
 
-try:
-    #st.secrets['secrets']['LLAMA2_ENDPOINT_UPLIMIT']
-    # # st.write("Secrets loaded from secrets.toml")
-    # # st.write("HF_TOKEN", hf_token)
-    # # st.write("Loading secrets from secrets.toml")
-    # Wapi_key = st.secrets['secrets']['WEAVIATE_API_KEY']
-    # url = st.secrets['secrets']['WEAVIATE_ENDPOINT']
-    # openai_api_key = st.secrets['secrets']['OPENAI_API_KEY']
-
-    # hf_token = st.secrets['secrets']['LLAMA2_ENDPOINT_HF_TOKEN_chris']
-    # hf_endpoint = st.secret
+if isinstance(st.secrets, dict) and 'secrets' in st.secrets:
+    # for streamlit online or local, which uses a [secrets] section
+    Wapi_key = st.secrets['secrets']['WEAVIATE_API_KEY']
+    url = st.secrets['secrets']['WEAVIATE_ENDPOINT']
+    openai_api_key = st.secrets['secrets']['OPENAI_API_KEY']
+
+    hf_token = st.secrets['secrets']['LLAMA2_ENDPOINT_HF_TOKEN_chris']
+    hf_endpoint = st.secret['secrets']['LLAMA2_ENDPOINT_UPLIMIT']
+    model_token_id = st.secrets['secrets']['MODAL_TOKEN_ID']
+    modal_token_secret = st.secrets['secrets']['MODAL_TOKEN_SECRET']
+    
+elif isinstance(st.secrets, dict):
     # for Huggingface (no [secrets] section)
     Wapi_key = st.secrets['WEAVIATE_API_KEY']
     url = st.secrets['WEAVIATE_ENDPOINT']
@@ -163,8 +164,9 @@ try:
     hf_endpoint = st.secrets['LLAMA2_ENDPOINT_UPLIMIT']
     model_token_id = st.secrets['MODAL_TOKEN_ID']
     modal_token_secret = st.secrets['MODAL_TOKEN_SECRET']
-except:
 
+else:
+    # if we want to use env file
     st.write("Loading secrets from environment variables")
     api_key = os.environ['WEAVIATE_API_KEY']
     url = os.environ['WEAVIATE_ENDPOINT']