More cleaning

app.shell.py

@@ -1,143 +0,0 @@
-from tiktoken import get_encoding
-from weaviate_interface import WeaviateClient
-from prompt_templates import question_answering_prompt_series, question_answering_system
-from openai_interface import GPT_Turbo
-from app_features import (convert_seconds, generate_prompt_series, search_result,
-                          validate_token_threshold, load_content_cache, load_data)
-from reranker import ReRanker
-from loguru import logger 
-import streamlit as st
-import sys
-import json
-import os
-
-# load environment variables
-from dotenv import load_dotenv
-load_dotenv('.env', override=True)
- 
-## PAGE CONFIGURATION
-st.set_page_config(page_title="Impact Theory", 
-                   page_icon=None, 
-                   layout="wide", 
-                   initial_sidebar_state="auto", 
-                   menu_items=None)
-##############
-# START CODE #
-##############
-data_path = 'data/impact_theory_data.json'
-cache_path = 'data/impact_theory_cache.parquet'
-data = load_data(data_path)
-cache = load_content_cache(cache_path)
-## RETRIEVER
-client.display_properties.append('summary')
-## RERANKER
-
-## LLM 
-
-## ENCODING
-
-## INDEX NAME
-
-##############
-#  END CODE  #
-##############
-data = load_data(data_path)
-#creates list of guests for sidebar
-guest_list = sorted(list(set([d['guest'] for d in data])))
-
-def main():
-        
-    with st.sidebar:
-        guest = st.selectbox('Select Guest', options=guest_list, index=None, placeholder='Select Guest')
-
-    st.image('./assets/impact-theory-logo.png', width=400)
-    st.subheader(f"Chat with the Impact Theory podcast: ")
-    st.write('\n')
-    col1, _ = st.columns([7,3])
-    with col1:
-        query = st.text_input('Enter your question: ')
-        st.write('\n\n\n\n\n')
-
-        if query:
-            ##############
-            # START CODE #
-            ##############
-
-            st.write('Hmmm...this app does not seem to be working yet.  Please check back later.')
-            if guest:
-                st.write(f'However, it looks like you selected {guest} as a filter.')
-            # make hybrid call to weaviate
-            hybrid_response = None
-            # rerank results
-            ranked_response = None
-            # validate token count is below threshold
-            # valid_response = validate_token_threshold(ranked_response, 
-                                                    #    question_answering_prompt_series, 
-                                                    #    query=query,
-                                                    #    tokenizer= # variable from ENCODING,
-                                                    #    token_threshold=4000, 
-                                                    #    verbose=True)
-            ##############
-            #  END CODE  #
-            ##############
-
-            # # generate LLM prompt
-            # prompt = generate_prompt_series(query=query, results=valid_response)
-            
-            # # prep for streaming response
-            # st.subheader("Response from Impact Theory (context)")
-            # with st.spinner('Generating Response...'):
-            #     st.markdown("----")
-            #     #creates container for LLM response
-            #     chat_container, response_box = [], st.empty()
-            #     
-            #     # execute chat call to LLM
-            #                  ##############
-            #                  # START CODE #
-            #                  ##############
-            #     
-
-            #                  ##############
-            #                  #  END CODE  #
-            #                  ##############
-            #         try:
-                          #inserts chat stream from LLM
-            #             with response_box:
-                        #     content = resp.choices[0].delta.content
-                        #     if content:
-                        #         chat_container.append(content)
-                        #         result = "".join(chat_container).strip()
-                        #         st.write(f'{result}')
-                        # except Exception as e:
-                        #     print(e)
-                        #     continue
-            # ##############
-            # # START CODE #
-            # ##############
-            # st.subheader("Search Results")
-            # for i, hit in enumerate(valid_response):
-            #     col1, col2 = st.columns([7, 3], gap='large')
-            #     image = # get thumbnail_url
-            #     episode_url = # get episode_url
-            #     title = # get title
-            #     show_length = # get length
-            #     time_string = # convert show_length to readable time string
-            # ##############
-            # #  END CODE  #
-            # ##############
-            #     with col1:
-            #         st.write( search_result(  i=i, 
-                                                # url=episode_url,
-                                                # guest=hit['guest'],
-                                                # title=title,
-                                                # content=hit['content'], 
-                                                # length=time_string),
-            #                 unsafe_allow_html=True)
-            #         st.write('\n\n')
-            #     with col2:
-            #         # st.write(f"<a href={episode_url} <img src={image} width='200'></a>", 
-            #         #             unsafe_allow_html=True)
-            #         st.image(image, caption=title.split('|')[0], width=200, use_column_width=False)
-
-if __name__ == '__main__':
-    main()