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import streamlit as st
radioButtonList = ["E-commerce CSV (https://www.kaggle.com/datasets/mervemenekse/ecommerce-dataset)",
"Upload my own CSV",
"Upload my own PDF",
"URL Chat with Google Alphabet's 2022 Q2 Earnings Report (https://shorturl.at/csCK3)",
"Enter my own URL"]
genre = st.radio(
"Choose dataset to finetune", radioButtonList
)
pdfCSVURLText = ""
if genre==radioButtonList[0]:
pdfCSVURLText = "CSV"
# st.write('You selected comedy.')
# else:
# st.write(f'''Password streamlit app: {st.secrets["PSWD"]}''')
elif genre==radioButtonList[1]:
pdfCSVURLText = "CSV"
elif genre==radioButtonList[2]:
pdfCSVURLText = "PDF"
elif genre==radioButtonList[3]:
pdfCSVURLText = "URL"
elif genre==radioButtonList[4]:
pdfCSVURLText = "URL"
isCustomURL = genre==radioButtonList[4]
title = st.text_input('Enter your own URL', 'https://shorturl.at/csCK3', disabled=not isCustomURL)
st.write('The current movie title is', title)
isCustomPDF = genre==radioButtonList[2]
uploaded_file = st.file_uploader("Upload your own PDF here", disabled=not isCustomPDF)
if uploaded_file is not None:
# To read file as bytes:
bytes_data = uploaded_file.getvalue()
st.write(bytes_data)
# To convert to a string based IO:
stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
st.write(stringio)
# To read file as string:
string_data = stringio.read()
st.write(string_data)
# Can be used wherever a "file-like" object is accepted:
dataframe = pd.read_csv(uploaded_file)
st.write(dataframe)
title = st.text_input(f'Ask me anything about this {pdfCSVURLText}', 'Type here', disabled=not isCustomURL)
chatWithPDFButton = "CLICK HERE TO START CHATTING"
st.button(chatWithPDFButton, type="primary")
if st.button(chatWithPDFButton):
pass
else:
pass
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