Upload folder using huggingface_hub

app.py

@@ -0,0 +1,53 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import yfinance as yf
+import altair as alt
+import plotly.figure_factory as ff
+import pydeck as pdk
+from vega_datasets import data as vds
+import plotly.express as px
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+from streamlit_image_comparison import image_comparison
+
+
+def on_input_change():
+    user_input = st.session_state.user_input
+    st.session_state.past.append(user_input)
+    st.session_state.generated.append(
+        {"data": "The messages from Bot\nWith new line", "type": "normal"}
+    )
+
+
+def on_btn_click():
+    del st.session_state.past[:]
+    del st.session_state.generated[:]
+
+
+def main():
+    st.title(" Image Prediction (Computer Vision)")
+    option = st.selectbox(" ImageNet / CoCo", [" ImageNet ", " CoCo"])
+    value = st.slider(" Threshold", min_value=0, max_value=100, value=50, key=65)
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        if st.checkbox(" Remove Noise"):
+            st.write("Checkbox checked!")
+    with col2:
+        if st.checkbox(" Increase Resolution"):
+            st.write("Checkbox checked!")
+    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
+    if st.button(" Predict"):
+        st.write("Button clicked!")
+    st.subheader(" Original vs Predicted")
+    image_comparison(
+        img1="https://www.imgonline.com.ua/examples/red-yellow-flower.jpg",
+        img2="https://lettatai.sirv.com/imgonline-com-ua-Negative-lYz1br1SWE.jpg",
+    )
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

@@ -0,0 +1,8 @@
+streamlit
+yfinance
+streamlit-chat 
+vega_datasets
+streamlit_image_comparison 
+plotly==5.14.1
+altair
+pydeck