Delete app_test_toolbar_demo2.py

app_test_toolbar_demo2.py

@@ -1,140 +0,0 @@
-import streamlit as st
-import torch
-import uuid
-import nest_asyncio
-import asyncio
-import os
-#import omegaConf
-
-torch.classes.__path__ = []
-
-# Setup for HTTP API Calls
-if 'device_id' not in st.session_state:
-    st.session_state.device_id = str(uuid.uuid4())
-
-if "feedback_key" not in st.session_state:
-    st.session_state.feedback_key = 0
-
-#corpus_keys = 'first.last'
-cfg = {"title": "SBS MMMMMMMMAAAAAAAAAAAPPPPPPPPPPP"}
-
-def launch_bot():
-    def reset():
-        for i in range(100):
-            st.write(f"This is scrollable content line {i}")    
-        #st.session_state.messages = [{"role": "assistant", "content": "How may I help you?", "avatar": '🤖'}]
-        st.session_state.ex_prompt = None
-        st.session_state.first_turn = True
-
-
-    def generate_response(question):
-        response = vq.submit_query(question, languages[st.session_state.language])
-        return response
-    
-    def generate_streaming_response(question):
-        response = vq.submit_query_streaming(question, languages[st.session_state.language])
-        return response
-    
-    def show_example_questions():        
-        if len(st.session_state.example_messages) > 0 and st.session_state.first_turn:            
-            selected_example = pills("Questions to Try:", st.session_state.example_messages, index=None)
-            if selected_example:
-                st.session_state.ex_prompt = selected_example
-                st.session_state.first_turn = False
-                return True
-        return False
-
-    if 'cfg' not in st.session_state:
-        yield
-        #corpus_keys = str(os.environ["first, last"]).split(',')
-        #cfg = {title: "SBS MMMMMMMMAAAAAAAAAAAPPPPPPPPPPP",}
-        #cfg = "SBS MMMMAPPPPEEERR", # omegaConf.create({
-        #    'corpus_keys': corpus_keys,
-        #    'api_key': str(os.environ['api_key']),
-        #    'title': os.environ['title'],
-        #    'source_data_desc': os.environ['source_data_desc'],
-        #    'streaming': isTrue(os.environ.get('streaming', False)),
-        #    'prompt_name': os.environ.get('prompt_name', None),
-        #    'examples': os.environ.get('examples', None),
-        #    'language': 'English'
-        #})
-        #st.session_state.cfg = cfg
-        #st.session_state.ex_prompt = None
-        #st.session_state.first_turn = True
-        #st.session_state.language = cfg.language
-        #example_messages = [example.strip() for example in cfg.examples.split(",")]
-        #st.session_state.example_messages = [em for em in example_messages if len(em)>0][:max_examples]
-        
-        #st.session_state.vq = VectaraQuery(cfg.api_key, cfg.corpus_keys, cfg.prompt_name)
-
-    #cfg = st.session_state.cfg
-    #vq = st.session_state.vq
-    st.set_page_config(page_title="SSSSSSSSBBBBBBBBBSSSSSSSSSSS", layout="wide")
-
-    # left side content
-    with st.sidebar:
-        #image = Image.open('Vectara-logo.png')
-        #st.image(image, width=175)
-        st.markdown(f"## About\n\n")
-                    #f"This demo uses outside RAG to ask questions about {cfg.source_data_desc}\n")
-        
-        #cfg.language = st.selectbox('Language:', languages.keys())
-        #if st.session_state.language != cfg.language:
-        #    st.session_state.language = cfg.language
-        #    reset()
-        #    st.rerun()
-
-        st.markdown("\n")
-        bc1, _ = st.columns([1, 1])
-        with bc1:
-            if st.button('Start Over'):
-                reset()
-                st.rerun()
-
-        st.markdown("---")
-        st.markdown(
-            "## Temporary test demo only\n"
-        )       
-
-    st.markdown(f"<center> <h2> Header Demo Test: {'SSSSSSSSSSSBBBBBBBBBBBBSSSSSSSSSS'} </h2> </center>", unsafe_allow_html=True)
-
-    if "messages" not in st.session_state.keys():
-        reset()
-                
-    # Display chat messages
-    for message in st.session_state.messages:
-        with st.chat_message(message["role"], avatar=message["avatar"]):
-            st.write(message["content"])
-
-    example_container = st.empty()
-    with example_container:
-        if show_example_questions():
-            example_container.empty()
-            st.rerun()
-
-    # select prompt from example question or user provided input
-    if st.session_state.ex_prompt:
-        prompt = st.session_state.ex_prompt
-    else:
-        prompt = st.chat_input()
-    if prompt:
-        st.session_state.messages.append({"role": "user", "content": prompt, "avatar": '🧑‍💻'})
-        with st.chat_message("user", avatar="🧑‍💻"):
-            st.write(prompt)
-        st.session_state.ex_prompt = None
-        
-    if (st.session_state.messages[-1]["role"] == "assistant") & (st.session_state.messages[-1]["content"] != "How may I help you?"):
-        streamlit_feedback(feedback_type="thumbs", on_submit = thumbs_feedback, key = st.session_state.feedback_key,
-                                      kwargs = {"user_query": st.session_state.messages[-2]["content"],
-                                                "chat_response": st.session_state.messages[-1]["content"],
-                                                "demo_name": "SSSSSSSSSSSBBBBBBBBBBBBBBSSSSSSSSSSSS",
-                                                "response_language": st.session_state.language})
-    
-     
-if __name__ == "__main__":
-    #st.set_page_config(page_title="Sticky toolbar test", layout="wide")
-    nest_asyncio.apply()
-    asyncio.run(launch_bot())
-
-for i in range(100):
-    st.write(f"This is scrollable content line {i}")