message

.gitignore

@@ -0,0 +1 @@
+.streamlit/

app.py

@@ -3,8 +3,8 @@ 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 (https://shorturl.at/csCK3)",
-"Enter my own URL (enable url input below)"]
+"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
     )
@@ -12,8 +12,27 @@ genre = st.radio(
 if genre==radioButtonList[0]:
     st.write('You selected comedy.')
 else:
-    st.write("You didn\'t select comedy.")
+    st.write(f'''Password streamlit app: {st.secrets["PSWD"]}''')
 
 isCustomURL = genre==radioButtonList[4]
-title = st.text_input('Enter your own URL', 'Enter URL here', disabled=not isCustomURL)
+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)