Update app.py

app.py

@@ -1,27 +1,30 @@
-import time
-import requests
-
 import streamlit as st
-from streamlit_lottie import st_lottie
-from streamlit_lottie import st_lottie_spinner
-
+import pandas as pd
+import plotly.express as px
+from itertools import count
+import random
+import time
 
-def load_lottieurl(url: str):
-    r = requests.get(url)
-    if r.status_code != 200:
-        return None
-    return r.json()
+# Initialize count for x-axis and empty DataFrame for storing data
+index = count()
+data = pd.DataFrame(columns=['x', 'y'])
 
+# Placeholder for the Plotly chart
+chart_placeholder = st.empty()
 
-lottie_url_hello = "https://assets5.lottiefiles.com/packages/lf20_V9t630.json"
-lottie_url_download = "https://assets4.lottiefiles.com/private_files/lf30_t26law.json"
-lottie_hello = load_lottieurl(lottie_url_hello)
-lottie_download = load_lottieurl(lottie_url_download)
+while True:  # This loop will simulate real-time data updates
+    # Append new data point
+    new_x = next(index)
+    new_y = random.randint(0, 5)
+    new_data = pd.DataFrame({'x': [new_x], 'y': [new_y]})
+    data = pd.concat([data, new_data], ignore_index=True)
 
+    # Create a new Plotly figure
+    fig = px.line(data, x='x', y='y', title="Real-time Data Plot")
+    fig.update_layout(xaxis_title='X Axis', yaxis_title='Y Axis', autosize=True)
 
-st_lottie(lottie_hello, key="hello")
+    # Display the figure using Streamlit
+    chart_placeholder.plotly_chart(fig, use_container_width=True)
 
-if st.button("Download"):
-    with st_lottie_spinner(lottie_download, key="download"):
-        time.sleep(5)
-    st.balloons()
+    # Pause for a moment before updating the chart with new data
+    time.sleep(1)