File size: 2,367 Bytes
11ac8d7 | 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 | import gradio as gr
import folium
from folium.plugins import MousePosition
import tempfile
import scipy.io.wavfile
import numpy as np
from geopy.geocoders import Nominatim
# Terrain prompt mapping
terrain_prompts = {
"forest": "ambient electronic music with forest and bird sounds",
"urban": "lo-fi chillhop with city ambience and soft beats",
"highway": "energetic synthwave for night highway driving",
"mountain": "cinematic orchestral music with epic strings",
"rainy": "melancholic piano with background rain and thunder",
"water": "relaxing ocean waves with ambient synths"
}
def classify_location(lat, lon):
geolocator = Nominatim(user_agent="geo-audio-app")
try:
loc = geolocator.reverse((lat, lon), language='en', timeout=10)
addr = loc.raw.get("address", {})
if "city" in addr or "town" in addr:
return "urban"
if "forest" in addr or "protected_area" in addr:
return "forest"
if "mountain" in addr:
return "mountain"
if "highway" in addr or "road" in addr:
return "highway"
if "water" in addr or "lake" in addr or "coast" in addr:
return "water"
except:
pass
return "urban"
def synthesize_audio(prompt: str):
# Simple tone simulator; replace with real model
sr = 16000
t = np.linspace(0, 5, sr * 5, endpoint=False)
tone = 0.5 * np.sin(2 * np.pi * 440 * t).astype(np.float32)
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
scipy.io.wavfile.write(tmp.name, rate=sr, data=(tone * 32767).astype(np.int16))
return tmp.name
def generate_audio(lat, lon):
terrain = classify_location(lat, lon)
prompt = terrain_prompts.get(terrain, "ambient atmospheric music")
audio_file = synthesize_audio(prompt)
return terrain, prompt, audio_file
with gr.Blocks() as demo:
gr.Markdown("# 🌍 Geo-Audio Synth with Gradio")
coords = gr.Point(label="Click on map to select location", interactive=True)
terrain_out = gr.Text(label="Detected terrain")
prompt_out = gr.Text(label="Generated prompt")
audio_out = gr.Audio(label="Simulated Audio")
coords.change(fn=lambda pt: pt, inputs=coords, outputs=[])
coords.submit(generate_audio, inputs=[coords.x, coords.y], outputs=[terrain_out, prompt_out, audio_out])
demo.launch()
|