commented out Llama secrets

app.py

@@ -97,8 +97,8 @@ if 'secrets' in st.secrets:
     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.secrets['secrets']['LLAMA2_ENDPOINT_UPLIMIT']
+    # hf_token = st.secrets['secrets']['LLAMA2_ENDPOINT_HF_TOKEN']
+    # hf_endpoint = st.secrets['secrets']['LLAMA2_ENDPOINT']
 
 else :
     # st.write("Loading secrets for Huggingface")
@@ -107,8 +107,8 @@ else :
     url = st.secrets['WEAVIATE_ENDPOINT']
     openai_api_key = st.secrets['OPENAI_API_KEY']
 
-    hf_token = st.secrets['LLAMA2_ENDPOINT_HF_TOKEN_chris']
-    hf_endpoint = st.secrets['LLAMA2_ENDPOINT_UPLIMIT']
+    # hf_token = st.secrets['LLAMA2_ENDPOINT_HF_TOKEN']
+    # hf_endpoint = st.secrets['LLAMA2_ENDPOINT']
 
 #%% 
 # model_default = 'sentence-transformers/all-mpnet-base-v2'

unitesting_utils.py

@@ -5,9 +5,9 @@ def load_impact_theory_data():
     '''
     Loads impact_theory_data.json data by trying three options:
     1. Assumes user is in Google Colab environment and loads file from content dir.
-    2. If 1st option doesn't work, assumes user is in course repo and loads from data dir.
+    2. If 1st option doesn't work, assumes user is in repo and loads from data dir.
     3. If 2nd option doesn't work, assumes user does not have direct access to data so
-       downloads data direct from course repo.
+       downloads data direct from repo.
     '''
     try:
         path = '/content/impact_theory_data.json'