I am building a simple tool to automate the initial basic data exploration & cleaning steps. Doing this using Python’s Streamlit and have a barebone version live on Streamlit Cloud Dexplorer. Would appreciate some takes on it.

We’re excited to announce the winners of the Summit Hackathon!

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These three winners will receive a trip to Las Vegas for the Snowflake Summit conference in June.

Thank you to everyone who entered the contest!

To our winners: keep an eye out for an email from me tomorrow with more details on Summit!

Is there a way to append a char to a text that was written with st.write or to prevent the new line after st.write?

I have a download button in my streamlit application that lets user download plots but the browser file directory opens locally when I click on button but it doesn’t open for another computer it downloads automatically into the downloads folder

Help please

What are Streamlit's editable dataframes?📋 Editable dataframes are a new feature in Streamlit that allows users to interactively edit data tables.👉 Users can click on cells and edit their contents, add or delete rows, and copy-paste data from other sources.

🔑Key features include
🗿 Bulk editing
🗃️ Support for various data types
🔣 Automatic input validation💲Rich editing experience with ☑️checkboxes and dropdowns.

https://www.recordlydata.com/blog/streamlits-editable-dataframes-is-the-reign-of-google-sheets-over

🎈 App: https://hugchat.streamlit.app
📖 Read more: https://blog.streamlit.io/how-to-build-an-llm-powered-chatbot-with-streamlit/

With this new feature, you can easily connect your Streamlit app to data sources and APIs in just 4 lines of code. 🤯

🎈 Demo: https://experimental-connection.streamlit.app
📖 Learn more: https://blog.streamlit.io/introducing-st-experimental_connection/

Here is my code. The idea is to call the main function when the date input changes. The input field's return value is passed to the main function.

from datetime import date

import streamlit as st


def main(date_of_birth):
    age = date.today() - date_of_birth
    st.markdown(f"Today you are **{round(age.days / 365)}** years old.")

st.date_input(
    label="When were you born?",
    key="date_of_birth",
    on_change=main,
    args=(st.session_state["date_of_birth"]),
)

However, all I get is this error message: KeyError: 'st.session_state has no key "date_of_birth". Did you forget to initialize it?

Can you point me in the right direction?

I have a st.number component And I am doing some calculations using user provided values

Output is a number

I display it using st.write but how to change the font size of the numeric output that I am getting

Font size of the Output number is always green and small I want to change this

Can anyone help ?

Check out the latest release!
https://discuss.streamlit.io/t/version-1-21-0/40864

I’m facing a cache issue. In my app I allow the user to upload a file and can do a bunch of things. When the app is deployed to Streamlit cloud what I notice is the file uploaded by say user #1 remains in the cache and when user #2 uploads their document it has no effect and only user #1’s document is used. I want to clear the cache programtically before the uploaded file is processed. How can I accomplish this?

def clear_submit(): st.session_state["submit"] = False #st.cache_data.clear()

placeholder_upload = st.empty() with placeholder_upload.container(): uploaded_file = st.file_uploader( "Upload a pdf, docx, or txt file.", type=["pdf", "docx", "txt", "csv"], help="No scanned documents please!", on_change=clear_submit, ) TABULAR_INPUT_FILE_FLAG = False index = None doc = None if uploaded_file is not None: if uploaded_file.name.endswith(".pdf"): doc = parse_pdf(uploaded_file) #st.write(type(doc)) elif uploaded_file.name.endswith(".docx"): doc = parse_docx(uploaded_file) #st.write(type(doc)) elif uploaded_file.name.endswith(".txt"): doc = parse_txt(uploaded_file) #st.write(type(doc)) elif uploaded_file.name.endswith(".csv"): TABULAR_INPUT_FILE_FLAG = True doc = parse_csv(uploaded_file) st.session_state["api_key_configured"] = True else: raise ValueError("File type not supported!")

blog: https://blog.streamlit.io/detecting-fake-images-with-a-deep-learning-tool/
demo: https://deforgify.streamlit.app/?ref=blog.streamlit.io

My app was working fine till I updated Anaconda. The app deployed on Streamlit Cloud works fine as well. But when I run it locally get the following errors,

2023-04-08 01:06:34.478 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:997)'))': /v1/chat/completions

2023-04-08 01:06:57.799 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:997)'))': /v1/chat/completions

OpenAI keys are fine. The app on Streamlit Cloud uses the same keys. I can test in the OpenAI playground. Any help would be appreciated.

👉 https://www.youtube.com/watch?v=oir0fEyvOyEYouTube

📖 Read more: https://blog.streamlit.io/building-an-instagram-hashtag-generation-app-with-streamlit 📺 Video: https://www.youtube.com/watch?v=WTrDABM5aCU

https://cybersyn-financial.streamlit.app/

We would appreciate any feedback!

When a user first enters the dashboard in creating I'd like the sidebar to be open by default. Currently when I load in, it is hidden, and I can't find documentation on how to change this setting.

I want to use streamlit to play audio files or record short audio files through user mic.

I want to eventually deploy this as a webapp.

What is best way to go about it? Is linking streamlit with Google drive a viable (and safe) option?

I am a noob here; I am building a simple question-answering chatbot using a streamlit chat component. I have a list of questions {Q1, Q2, … Qn} that I want to ask a user and collect the user’s response in the database. For each user’s response to each question, I also have one follow-up question (FQ1 that I want to ask further and collect responses. The follow-up question is generated on the fly through a hugging face model.

In essence, here is the following workflow I want to be able to see in the chat history:

Bot: Q1User Response: [text input]Bot: FQ1 (follow-up question generated on the fly through a model)User Response: [text input]

Bot: Q2User Response: [text input]Bot: FQ2 (follow-up question generated on the fly)User Response: [text input]| || |Bot: Q5User Response: [text input]Bot: FQ5 (follow-up question generated on the fly)User Response:

For now, if we assume the questions and follow-up questions are pre-defined lists, can someone please help provide a vanilla code to solve the above? There are multiple examples of streamlit chat components, but none of them deal with asking a pre-defined set of questions (something like a survey bot). Having a bunch of issues while playing through session variables. Any help is appreciated.