Spaces:
Runtime error
Runtime error
File size: 2,987 Bytes
51fe9d2 33f32e6 51fe9d2 33f32e6 51fe9d2 33f32e6 51fe9d2 33f32e6 51fe9d2 33f32e6 51fe9d2 51a7497 d391cb2 51a7497 33f32e6 51a7497 d391cb2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
import streamlit as st
st.set_page_config(layout="wide", page_title="2023 FS Hackathon")
st.markdown(
"<h1 style='text-align: center;'>Founder's Studio AI Sandbox 🕹️</h1>",
unsafe_allow_html=True
)
expander = st.expander("Click here to close this intro", expanded=True)
expander.write(
"""
This web app allows you to perform common Natural Language Processing tasks, select a task below to get started.
These tasks are intended to help you validate your intuition and build a proof of concept for your idea.
If a task you deem useful is not listed here, feel free to get in touch with Founder's Studio team at [email protected].
Happy hackathon!
"""
)
st.header("About this app")
st.write("""
Some wording on the app and the tasks it can perform :)
""")
st.subheader(":point_left: Select a task from the left to get started!")
with st.sidebar:
st.write("Welcome! :wave:")
st.write("Select a task to supercharge your productivity from the ones below :point_down:")
OPTION1="Chat with a file 💬📖 - *Upload a file and ask questions about it*"
OPTION2="Text summarization 🔎 - *Upload a file and get it summarized*"
OPTION_N="Make a suggestion 🤔 - *Let the team know what task would you like to have at disposal*"
option = st.radio(
"Please select a task 🤖",
options=[OPTION1, OPTION2, OPTION_N],
key="task_selection"
)
confirm = st.button("Confirm", key="task_selection_confirm")
if confirm:
st.session_state["task_confirmed"] = True
if st.session_state.get("task_confirmed"):
# only execute the actual app code when the user confirms the task selection
if st.session_state.get("task_selection") == OPTION1:
from qa import qa_main
with st.container():
qa_main()
elif st.session_state.get("task_selection") == OPTION2:
from summarization import summarization_main
with st.container():
summarization_main()
elif st.session_state.get("task_selection") == OPTION_N:
from mailing import mailing_main
with st.container():
user_suggestion = st.text_input(
"What other task would you like to perform?",
placeholder="Transform meeting transcripts into rainbow-colored unicorns"
)
if user_suggestion:
st.write("""
Thanks for contributing with your suggestion! We are carefully reviewing every suggestion.
If you wish to further discuss your task suggestion, consider reaching out to [email protected].
We will get back to you as soon as possible!
""")
mailing_main(
subject="**NEW TASK SUGGESTION** - Automatic email.",
body=f"User suggestion\n: {user_suggestion}",
to_address="[email protected]"
)
st.stop()
|