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import gradio as gr
import requests
import time
import folium
from folium import plugins
import pandas as pd
from groq import Groq
# Initialize Groq client with your API key
client = Groq(api_key="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")
# Function to get AI response (Groq model)
def get_response(user_input):
"""Get response from Groq AI model."""
if 'messages' not in gradio_state:
gradio_state['messages'] = []
gradio_state['messages'].append({"role": "user", "content": user_input})
# Call Groq API to get the AI's response
chat_completion = client.chat.completions.create(
messages=gradio_state['messages'],
model="llama3-8b-8192" # Specify model you want to use from Groq
)
ai_message = chat_completion.choices[0].message.content
gradio_state['messages'].append({"role": "assistant", "content": ai_message})
return ai_message
# Emergency call function
def emergency_call():
time.sleep(2) # Simulating a short delay
return "Emergency services have been contacted. Help is on the way!"
# Dangerous Area Map function
def dangerous_area_map():
data = {
'latitude': [40.7128, 34.0522, 51.5074, 48.8566, 35.6762],
'longitude': [-74.0060, -118.2437, -0.1278, 2.3522, 139.6503],
'area': ['New York', 'Los Angeles', 'London', 'Paris', 'Tokyo'],
'danger_level': ['High', 'Medium', 'Low', 'High', 'Medium']
}
df = pd.DataFrame(data)
map_center = [df['latitude'].mean(), df['longitude'].mean()]
m = folium.Map(location=map_center, zoom_start=2)
def get_color(danger_level):
if danger_level == 'High':
return 'red'
elif danger_level == 'Medium':
return 'orange'
else:
return 'green'
for index, row in df.iterrows():
danger_color = get_color(row['danger_level'])
folium.CircleMarker(
location=[row['latitude'], row['longitude']],
radius=10,
color=danger_color,
fill=True,
fill_color=danger_color,
fill_opacity=0.7,
popup=f"Area: {row['area']}<br> Danger Level: {row['danger_level']}"
).add_to(m)
heat_data = [[row['latitude'], row['longitude']] for index, row in df.iterrows()]
plugins.HeatMap(heat_data).add_to(m)
map_html = m._repr_html_()
return map_html
# ORS Route function
def ors_route(start_lat, start_lon, end_lat, end_lon):
api_key = '5b3ce3597851110001cf6248678e77a7fc474afbbb5ec203d721079c'
start_point = f'{start_lon},{start_lat}' # ORS expects lon, lat
end_point = f'{end_lon},{end_lat}'
# API request to OpenRouteService
url = f'https://api.openrouteservice.org/v2/directions/driving-car?api_key={api_key}&start={start_point}&end={end_point}'
response = requests.get(url)
if response.status_code == 200:
data = response.json()
# Extract the route information
route = data['features'][0]['geometry']['coordinates']
route_map = folium.Map(
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