Make a Sentiment Analysis Web App using Python | Streamlit

In this video, we make a sentiment analysis web app using TextBlob. It takes a CSV file, analyzes the sentiment in it, and adds columns about the score of the sentiment to the file. Sourcecode below-
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[thathabeshasoftwareengineer]

damn you're really good at teaching. loved this video. the YouTube AI will read this comment with Sentiment Analysis and will give it a higher polarity to get recommended to more people. Thanks alot.

[HashaniThrimavithana]

Thank you very much for your guidance ♥

[muhmammdhidytllh]

this would me soooo muchhhh on my final project, thankk you so muchhhh

[learnsharegrowwithgh]

Excellent explanation and content can you record tutorial to deploy this app on heroku

[m.s.n.kishore]

What type of xlsx file needed for the data.

[m.s.n.kishore]

needed the dataset in the description
please.

[alidemir]

thank you very much for dieses helpful movie ❤

[HanaNoufal]

how can we do this for application reviews

[kyilin]

Thank you so much it is very helpful for me.
But I wannt to see the coloumn of the dataset that u input.
Plz reply back to me. I need your help.

[johnlens]

Thank you for this great content! I'm getting the error below. What could be the reason? Also in your code, I see df seems to be undefined under the line @st.cache. Can you help me? Thanks in advance!

Error in streamlit after excel upload: TypeError: The `text` argument passed to `__init__(text)` must be a string, not <class 'float'>

Probably because of this line: df['score'] = df['texts'].apply(score)

[SANJAYKUMAR-nsch]

can you add dataset in your description

[Ilakkiya_MG]

In which platform are you running this code?