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34602d1 54c8305 34602d1 54c8305 34602d1 0796a24 6e60f03 0796a24 54c8305 0796a24 925d24c 54c8305 34602d1 fa09f6a 34602d1 fa09f6a 34602d1 0796a24 34602d1 925d24c 34602d1 6e60f03 34602d1 925d24c 34602d1 fa09f6a 34602d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | import streamlit as st
import speedtest
import plotly.graph_objects as go
import time
# Function to get the best server and calculate average download/upload speeds
def get_speed():
st.spinner("Testing your internet speed...")
speed_test = speedtest.Speedtest() # Initialize Speedtest instance
# Try to retrieve configuration; if it fails, manually choose a server (known good one)
try:
speed_test.get_best_server()
except speedtest.ConfigRetrievalError:
st.error("Error retrieving configuration from Speedtest servers. Please check your network.")
return None, None, None
# Run the speed test multiple times to average the results
download_speeds = []
upload_speeds = []
for _ in range(3): # Run the test 3 times for better accuracy
download_speeds.append(speed_test.download() / 1_000_000) # Convert to Mbps
upload_speeds.append(speed_test.upload() / 1_000_000) # Convert to Mbps
time.sleep(1) # Adding a small delay between tests to avoid network congestion
# Average the results for more accuracy
avg_download_speed = sum(download_speeds) / len(download_speeds)
avg_upload_speed = sum(upload_speeds) / len(upload_speeds)
# Optionally, add latency information for a more detailed report
ping = speed_test.results.ping
return avg_download_speed, avg_upload_speed, ping
# Function to visualize the speed in a circular gauge with a pointer
def plot_speedometer(speed, speed_type):
fig = go.Figure(go.Indicator(
mode="gauge+number",
value=speed,
title={'text': f"{speed_type} Speed (Mbps)"},
gauge={
'axis': {'range': [None, 100]}, # Range of 0 to 100 Mbps
'bar': {'color': "lightblue"},
'steps': [
{'range': [0, 20], 'color': "red"},
{'range': [20, 50], 'color': "yellow"},
{'range': [50, 100], 'color': "green"}
],
'threshold': {
'line': {'color': "black", 'width': 4}, # Pointer color and width
'thickness': 0.75, # Pointer thickness
'value': speed # Set the pointer to the current speed value
}
}
))
fig.update_layout(height=300)
st.plotly_chart(fig)
# Main app
def main():
st.title("Internet Speed Test")
st.write("Press the button below to test your download and upload speeds.")
# Button to start the speed test
if st.button("Start Speed Test"):
download_speed, upload_speed, ping = get_speed()
# Check if the speed test was successful
if download_speed is None or upload_speed is None:
return
# Display the results
st.subheader(f"Download Speed: {download_speed:.2f} Mbps")
st.subheader(f"Upload Speed: {upload_speed:.2f} Mbps")
st.subheader(f"Ping: {ping} ms") # Display ping for further insights
# Visualize the speeds with circular speedometers including pointers
plot_speedometer(download_speed, "Download")
plot_speedometer(upload_speed, "Upload")
if __name__ == "__main__":
main()
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