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0b11bc0
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Parent(s):
b8f1cc7
Sync updates from source repository
Browse files
app.py
CHANGED
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@@ -5,6 +5,8 @@ import os
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import streamlit as st
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from PIL import Image
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def isTrue(x) -> bool:
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if isinstance(x, bool):
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return x
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@@ -19,6 +21,18 @@ def launch_bot():
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response = vq.submit_query_streaming(question)
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return response
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if 'cfg' not in st.session_state:
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corpus_ids = str(os.environ['corpus_ids']).split(',')
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cfg = OmegaConf.create({
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@@ -34,6 +48,10 @@ def launch_bot():
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})
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st.session_state.cfg = cfg
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st.session_state.ex_prompt = None
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st.session_state.vq = VectaraQuery(cfg.api_key, cfg.customer_id, cfg.corpus_ids, cfg.prompt_name)
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cfg = st.session_state.cfg
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@@ -62,33 +80,29 @@ def launch_bot():
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if "messages" not in st.session_state.keys():
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st.session_state.messages = [{"role": "assistant", "content": "How may I help you?"}]
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for i, example in enumerate(example_messages):
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with ex_cols[i]:
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if st.button(example):
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st.session_state.ex_prompt = example
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# Display chat messages
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.write(message["content"])
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#
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if st.session_state.ex_prompt:
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prompt = st.session_state.ex_prompt
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st.session_state.ex_prompt = None
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else:
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prompt = st.chat_input()
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if prompt:
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.write(prompt)
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# Generate a new response if last message is not from assistant
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if st.session_state.messages[-1]["role"] != "assistant":
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with st.chat_message("assistant"):
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@@ -101,6 +115,7 @@ def launch_bot():
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st.write(response)
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message = {"role": "assistant", "content": response}
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st.session_state.messages.append(message)
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if __name__ == "__main__":
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launch_bot()
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import streamlit as st
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from PIL import Image
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max_examples = 4
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def isTrue(x) -> bool:
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if isinstance(x, bool):
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return x
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response = vq.submit_query_streaming(question)
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return response
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def show_example_questions():
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if len(st.session_state.example_messages) > 0 and st.session_state.first_turn:
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st.markdown("<h6>Queries To Try:</h6>", unsafe_allow_html=True)
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ex_cols = st.columns(max_examples)
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for i, example in enumerate(st.session_state.example_messages):
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with ex_cols[i]:
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if st.button(example, key=f"example_{i}"):
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st.session_state.ex_prompt = example
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st.session_state.first_turn = False
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return True
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return False
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if 'cfg' not in st.session_state:
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corpus_ids = str(os.environ['corpus_ids']).split(',')
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cfg = OmegaConf.create({
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})
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st.session_state.cfg = cfg
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st.session_state.ex_prompt = None
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st.session_state.first_turn = True
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example_messages = [example.strip() for example in cfg.examples.split(",")]
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st.session_state.example_messages = [em for em in example_messages if len(em)>0][:max_examples]
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st.session_state.vq = VectaraQuery(cfg.api_key, cfg.customer_id, cfg.corpus_ids, cfg.prompt_name)
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cfg = st.session_state.cfg
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if "messages" not in st.session_state.keys():
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st.session_state.messages = [{"role": "assistant", "content": "How may I help you?"}]
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example_container = st.empty()
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with example_container:
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if show_example_questions():
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example_container.empty()
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st.rerun()
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# Display chat messages
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.write(message["content"])
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# select prompt from example question or user provided input
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if st.session_state.ex_prompt:
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prompt = st.session_state.ex_prompt
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else:
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prompt = st.chat_input()
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if prompt:
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.write(prompt)
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st.session_state.ex_prompt = None
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# Generate a new response if last message is not from assistant
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if st.session_state.messages[-1]["role"] != "assistant":
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with st.chat_message("assistant"):
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st.write(response)
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message = {"role": "assistant", "content": response}
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st.session_state.messages.append(message)
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st.rerun()
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if __name__ == "__main__":
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launch_bot()
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