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import os
import time
from pathlib import Path
import openai
import pandas as pd
import streamlit as st
from streamlit.elements.utils import _shown_default_value_warning
_shown_default_value_warning = True # https://discuss.streamlit.io/t/why-do-default-values-cause-a-session-state-warning/15485/21
st.set_page_config(page_title="ChatGPT", page_icon="π")
@st.cache_resource
def init_openai_settings():
openai.api_key = os.getenv("OPENAI_API_KEY")
if os.getenv("OPENAI_PROXY"):
openai.proxy = os.getenv("OPENAI_PROXY")
def init_session():
if not st.session_state.get("params"):
st.session_state["params"] = dict()
if not st.session_state.get("chats"):
st.session_state["chats"] = {}
def new_chat(chat_name):
if not st.session_state["chats"].get(chat_name):
st.session_state["chats"][chat_name] = {
"answer": [],
"question": [],
"messages": [
{"role": "system", "content": st.session_state["params"]["prompt"]}
],
"is_delete": False,
"display_name": chat_name,
}
return chat_name
def switch_chat(chat_name):
if st.session_state.get("current_chat") != chat_name:
st.session_state["current_chat"] = chat_name
render_chat(chat_name)
st.stop()
def switch_chat_name(chat_name):
if st.session_state.get("current_chat") != chat_name:
st.session_state["current_chat"] = chat_name
render_sidebar()
render_chat(chat_name)
st.stop()
def delete_chat(chat_name):
if chat_name in st.session_state['chats']:
st.session_state['chats'][chat_name]['is_delete'] = True
current_chats = [chat for chat, value in st.session_state['chats'].items() if not value['is_delete']]
if len(current_chats) == 0:
switch_chat(new_chat(f"Chat{len(st.session_state['chats'])}"))
st.stop()
if st.session_state["current_chat"] == chat_name:
del st.session_state["current_chat"]
switch_chat_name(current_chats[0])
def edit_chat(chat_name, zone):
def edit():
if not st.session_state['edited_name']:
print('name is empty!')
return None
if (st.session_state['edited_name'] != chat_name
and st.session_state['edited_name'] in st.session_state['chats']):
print('name is duplicated!')
return None
if st.session_state['edited_name'] == chat_name:
print('name is not modified!')
return None
st.session_state['chats'][chat_name]['display_name'] = st.session_state['edited_name']
edit_zone = zone.empty()
time.sleep(0.1)
with edit_zone.container():
st.text_input('New Name', st.session_state['chats'][chat_name]['display_name'], key='edited_name')
column1, _, column2 = st.columns([1, 5, 1])
column1.button('β
', on_click=edit)
column2.button('β')
def render_sidebar_chat_management(zone):
new_chat_button = zone.button(label="β New Chat", use_container_width=True)
if new_chat_button:
new_chat_name = f"Chat{len(st.session_state['chats'])}"
st.session_state["current_chat"] = new_chat_name
new_chat(new_chat_name)
with st.sidebar.container():
for chat_name in st.session_state["chats"].keys():
if st.session_state['chats'][chat_name]['is_delete']:
continue
if chat_name == st.session_state.get('current_chat'):
column1, column2, column3 = zone.columns([7, 1, 1])
column1.button(
label='π¬ ' + st.session_state['chats'][chat_name]['display_name'],
on_click=switch_chat_name,
key=chat_name,
args=(chat_name,),
type='primary',
use_container_width=True,
)
column2.button(label='π', key='edit', on_click=edit_chat, args=(chat_name, zone))
column3.button(label='ποΈ', key='remove', on_click=delete_chat, args=(chat_name,))
else:
zone.button(
label='π¬ ' + st.session_state['chats'][chat_name]['display_name'],
on_click=switch_chat_name,
key=chat_name,
args=(chat_name,),
use_container_width=True,
)
if new_chat_button:
switch_chat(new_chat_name)
def render_sidebar_gpt_config_tab(zone):
st.session_state["params"] = dict()
st.session_state["params"]["model"] = zone.selectbox(
"Please select a model",
["gpt-3.5-turbo"], # , "gpt-4"
help="ID of the model to use",
)
st.session_state["params"]["temperature"] = zone.slider(
"Temperature",
min_value=0.0,
max_value=2.0,
value=1.2,
step=0.1,
format="%0.2f",
help="What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.",
)
st.session_state["params"]["max_tokens"] = zone.slider(
"Max Tokens",
value=2000,
step=1,
min_value=100,
max_value=4000,
help="The maximum number of tokens to generate in the completion",
)
st.session_state["params"]["stream"] = zone.checkbox(
"Steaming output",
value=True,
help="If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message",
)
zone.caption('Looking for help at https://platform.openai.com/docs/api-reference/chat')
def render_sidebar_prompt_config_tab(zone):
prompt_text = zone.empty()
st.session_state["params"]["prompt"] = prompt_text.text_area(
"System Prompt",
"You are a helpful assistant that translates answer from English to Chinese.",
help="The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.",
)
template = zone.selectbox('Loading From Prompt Template', load_prompt_templates())
if template:
prompts_df = load_prompts(template)
actor = zone.selectbox('Loading Prompts', prompts_df.index.tolist())
if actor:
st.session_state["params"]["prompt"] = prompt_text.text_area(
"System Prompt",
prompts_df.loc[actor].prompt,
help="The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.",
)
def render_download_zone(zone):
from io import BytesIO, StringIO
if not st.session_state.get('current_chat'):
return
chat = st.session_state['chats'][st.session_state['current_chat']]
col1, col2 = zone.columns([1, 1])
chat_messages = ['# ' + chat['display_name']]
if chat["question"]:
for i in range(len(chat["question"])):
chat_messages.append(f"""π **YOU:** {chat["question"][i]}""")
if i < len(chat["answer"]):
chat_messages.append(f"""π€ **AI:** {chat["answer"][i]}""")
col1.download_button('π€ Markdown', '\n'.join(chat_messages).encode('utf-8'), file_name=f"{chat['display_name']}.md", help="Download messages to a markdown file", use_container_width=True)
tables = []
for answer in chat["answer"]:
filter_table_str = '\n'.join([m.strip() for m in answer.split('\n') if m.strip().startswith('| ') or m == ''])
try:
tables.extend([pd.read_table(StringIO(filter_table_str.replace(' ', '')), sep='|').dropna(axis=1, how='all').iloc[1:] for m in filter_table_str.split('\n\n')])
except Exception as e:
print(e)
if tables:
buffer = BytesIO()
with pd.ExcelWriter(buffer) as writer:
for index, table in enumerate(tables):
table.to_excel(writer, sheet_name=str(index + 1), index=False)
col2.download_button('π Excel', buffer.getvalue(), file_name=f"{chat['display_name']}.xlsx", help="Download tables to a excel file", use_container_width=True)
def render_sidebar():
st.sidebar.title("ChatGPT")
chat_name_container = st.sidebar.container()
chat_config_expander = st.sidebar.expander('Chat configuration', True)
tab_gpt, tab_prompt = chat_config_expander.tabs(['ChatGPT', 'Prompt'])
download_zone = st.sidebar.empty()
render_sidebar_gpt_config_tab(tab_gpt)
render_sidebar_prompt_config_tab(tab_prompt)
render_sidebar_chat_management(chat_name_container)
render_download_zone(download_zone)
def render_user_message(message, zone):
col1, col2 = zone.columns([1,8])
col1.markdown("π **YOU:**")
col2.markdown(message)
def render_ai_message(message, zone):
col1, col2 = zone.columns([1,8])
col1.markdown("π€ **AI:**")
col2.markdown(message)
def render_history_answer(chat, zone):
zone.empty()
time.sleep(0.1) # https://github.com/streamlit/streamlit/issues/5044
with zone.container():
if chat['messages']:
st.caption(f"""βΉοΈ Prompt: {chat["messages"][0]['content']}""")
if chat["question"]:
for i in range(len(chat["question"])):
render_user_message(chat["question"][i], st)
if i < len(chat["answer"]):
render_ai_message(chat["answer"][i], st)
def render_last_answer(question, chat, zone):
answer_zone = zone.empty()
chat["messages"].append({"role": "user", "content": question})
chat["question"].append(question)
if st.session_state["params"]["stream"]:
answer = ""
chat["answer"].append(answer)
chat["messages"].append({"role": "assistant", "content": answer})
for response in get_openai_response(chat["messages"]):
answer += response["choices"][0]['delta'].get("content", '')
chat["answer"][-1] = answer
chat["messages"][-1] = {"role": "assistant", "content": answer}
render_ai_message(answer, answer_zone)
else:
with st.spinner("Wait for responding..."):
answer = get_openai_response(chat["messages"])["choices"][0]["message"]["content"]
chat["answer"].append(answer)
chat["messages"].append({"role": "assistant", "content": answer})
render_ai_message(answer, zone)
def render_stop_generate_button(zone):
def stop():
st.session_state['regenerate'] = False
zone.columns((2, 1, 2))[1].button('β‘ Stop', on_click=stop)
def render_regenerate_button(chat, zone):
def regenerate():
chat["messages"].pop(-1)
chat["messages"].pop(-1)
chat["answer"].pop(-1)
st.session_state['regenerate'] = True
st.session_state['last_question'] = chat["question"].pop(-1)
zone.columns((2, 1, 2))[1].button('πRegenerate', type='primary', on_click=regenerate)
def render_chat(chat_name):
def handle_ask():
if st.session_state['input']:
re_generate_zone.empty()
render_user_message(st.session_state['input'], last_question_zone)
render_stop_generate_button(stop_generate_zone)
render_last_answer(st.session_state['input'], chat, last_answer_zone)
st.session_state['input'] = ''
if chat_name not in st.session_state["chats"]:
st.error(f'{chat_name} is not exist')
return
chat = st.session_state["chats"][chat_name]
if chat['is_delete']:
st.error(f"{chat_name} is deleted")
st.stop()
if len(chat['messages']) == 1 and st.session_state["params"]["prompt"]:
chat["messages"][0]['content'] = st.session_state["params"]["prompt"]
conversation_zone = st.container()
history_zone = conversation_zone.empty()
last_question_zone = conversation_zone.empty()
last_answer_zone = conversation_zone.empty()
ask_form_zone = st.empty()
render_history_answer(chat, history_zone)
ask_form = ask_form_zone.form(chat_name)
col1, col2 = ask_form.columns([10, 1])
col1.text_area("π You: ", "Hello, how are you?",
key="input",
max_chars=2000,
label_visibility='collapsed')
col2.form_submit_button("π", on_click=handle_ask)
stop_generate_zone = conversation_zone.empty()
re_generate_zone = conversation_zone.empty()
if st.session_state.get('regenerate'):
render_user_message(st.session_state['last_question'], last_question_zone)
render_stop_generate_button(stop_generate_zone)
render_last_answer(st.session_state['last_question'], chat, last_answer_zone)
st.session_state['regenerate'] = False
if chat["answer"]:
stop_generate_zone.empty()
render_regenerate_button(chat, re_generate_zone)
render_footer()
def render_footer():
st.markdown(
"<br><hr><center>Made with β€οΈ by ChatGPT and StreamLit.</center><hr>",
unsafe_allow_html=True)
st.markdown("<style> footer {visibility: hidden;} </style>", unsafe_allow_html=True)
def get_openai_response(messages):
if st.session_state["params"]["model"] in {'gpt-3.5-turbo', 'gpt4'}:
response = openai.ChatCompletion.create(
model=st.session_state["params"]["model"],
temperature=st.session_state["params"]["temperature"],
messages=messages,
stream=st.session_state["params"]["stream"],
max_tokens=st.session_state["params"]["max_tokens"],
)
else:
raise NotImplementedError('Not implemented yet!')
return response
def load_prompt_templates():
path = Path(__file__).parent / "templates"
return [f.name for f in path.glob("*.json")]
def load_prompts(template_name):
if template_name:
path = Path(__file__).parent / "templates" / template_name
return pd.read_json(path).drop_duplicates(subset='act').set_index('act') # act, prompt
if __name__ == "__main__":
print("---- page reloading ----")
init_openai_settings()
init_session()
render_sidebar()
if st.session_state.get("current_chat"):
render_chat(st.session_state["current_chat"])
if len(st.session_state["chats"]) == 0:
switch_chat(new_chat(f"Chat{len(st.session_state['chats'])}"))
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