Update app.py

app.py

@@ -1,36 +1,66 @@
 import streamlit as st
-import pandas as pd
-import numpy as np
 
-st.title('Uber pickups in NYC')
+st.title('DIFF-SVC Render')
 
-DATE_COLUMN = 'date/time'
-DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
-            'streamlit-demo-data/uber-raw-data-sep14.csv.gz')
+###CKPT LOADER
+# File uploader
+ckpt = st.file_uploader("Choose your CKPT", type= 'ckpt')
 
-@st.cache
-def load_data(nrows):
-    data = pd.read_csv(DATA_URL, nrows=nrows)
-    lowercase = lambda x: str(x).lower()
-    data.rename(lowercase, axis='columns', inplace=True)
-    data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
-    return data
+# Check if user uploaded a CKPT file
+if ckpt is not None:
+  #TEMP FUNCTION
+  with tempfile.NamedTemporaryFile(mode="wb", suffix='.ckpt', delete=False) as temp:
+    # Get the file contents as bytes
+    bytes_data = ckpt.getvalue()
+    # Write the bytes to the temporary file
+    temp.write(bytes_data)
+    ckpt_temp_file = temp.name
+    # Print the temporary file name
+    print(temp.name)
 
-data_load_state = st.text('Loading data...')
-data = load_data(10000)
-data_load_state.text("Done! (using st.cache)")
+# Display the file path
+if "ckpt_temp_file" in locals():
+    st.success("File saved to: {}".format(ckpt_temp_file))
 
-if st.checkbox('Show raw data'):
-    st.subheader('Raw data')
-    st.write(data)
+# File uploader
+config = st.file_uploader("Choose your config", type= 'yaml')
 
-st.subheader('Number of pickups by hour')
-hist_values = np.histogram(data[DATE_COLUMN].dt.hour, bins=24, range=(0,24))[0]
-st.bar_chart(hist_values)
+# Check if user uploaded a config file
+if config is not None:
+  #TEMP FUNCTION
+  with tempfile.NamedTemporaryFile(mode="wb", suffix='.yaml', delete=False) as temp:
+    # Get the file contents as bytes
+    bytes_data = config.getvalue()
+    # Write the bytes to the temporary file
+    temp.write(bytes_data)
+    config_temp_file = temp.name
+    # Print the temporary file name
+    print(temp.name)
 
-# Some number in the range 0-23
-hour_to_filter = st.slider('hour', 0, 23, 17)
-filtered_data = data[data[DATE_COLUMN].dt.hour == hour_to_filter]
+# Display the file path
+if "config_temp_file" in locals():
+    st.success("File saved to: {}".format(config_temp_file))
 
-st.subheader('Map of all pickups at %s:00' % hour_to_filter)
-st.map(filtered_data)
+# File uploader
+audio = st.file_uploader("Choose your audio", type=["wav", "mp3"])
+
+# Check if user uploaded an audio file
+if audio is not None:
+  #TEMP FUNCTION
+  with tempfile.NamedTemporaryFile(mode="wb", suffix='.wav', delete=False) as temp:
+    # Get the file contents as bytes
+    bytes_data = audio.getvalue()
+    # Write the bytes to the temporary file
+    temp.write(bytes_data)
+    audio_temp_file = temp.name
+    # Print the temporary file name
+    print(temp.name)
+
+# Display the file path
+if "audio_temp_file" in locals():
+    st.success("File saved to: {}".format(audio_temp_file))
+# Add a text input for the title with a default value of 0
+title = st.text_input("Key", value="0")
+# Add a button to start the rendering process
+if st.button("Render audio"):
+  print("done")