More cleaning

app.py

@@ -88,6 +88,7 @@ data_path = './data/impact_theory_data.json'
 cache_path = 'data/impact_theory_cache.parquet'
 data = load_data(data_path)
 cache = None  # load_content_cache(cache_path) 
+guest_list = sorted(list(set([d['guest'] for d in data])))
 
 if 'secrets' in st.secrets:
     # st.write("Loading secrets from [secrets] section")
@@ -109,15 +110,6 @@ else :
     hf_token = st.secrets['LLAMA2_ENDPOINT_HF_TOKEN_chris']
     hf_endpoint = st.secrets['LLAMA2_ENDPOINT_UPLIMIT']
 
-# 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']
-#     openai_api_key = os.environ['OPENAI_API_KEY']
-
-#     hf_token = os.environ['LLAMA2_ENDPOINT_HF_TOKEN_chris']
-#     hf_endpoint = os.environ['LLAMA2_ENDPOINT_UPLIMIT']
 #%% 
 # model_default = 'sentence-transformers/all-mpnet-base-v2'
 model_default = 'models/finetuned-all-mpnet-base-v2-300' if we_are_not_online \
@@ -155,7 +147,7 @@ def download_model(model_name_or_path, model_local_path):
 
 #%%
 # for streamlit online, we must download the model from google drive
-# because github LFS doesn't work on forked repos
+ 
 def check_model(model_name_or_path):
     
     model_name = model_name_or_path.split('/')[-1] # remove 'sentence-transformers'
@@ -186,9 +178,6 @@ def get_weaviate_client(api_key, url, model_name_or_path, openai_api_key):
 
 
 ##############
-# data = load_data(data_path)
-# guests list for sidebar
-guest_list = sorted(list(set([d['guest'] for d in data])))
 
 def main():
 
@@ -379,7 +368,6 @@ def main():
                 with col2:
                     # let's add a nice pulse bar while generating the response
                     with hc.HyLoader('', hc.Loaders.pulse_bars, primary_color= 'red', height=50):  #"#0e404d" for image green
-                        # with st.spinner('Generating Response...'):
 
                         with col1:
                             
@@ -434,7 +422,7 @@ def main():
                                                                 verbose=True)
                         # st.write(f"Number of results: {len(valid_response)}")
                         
-    # I jump out of col1 to get all page width, so need to retest query
+    # I jumped out of col1 to get all page width, so need to retest query
     if query:     
 
         # creates container for LLM response to position it above search results