added timer, replaced middots and fixed css issues on small devices

Add code for fal.ai integration

fal_app.py

@@ -0,0 +1,73 @@
+import datetime
+from pathlib import Path
+import threading
+from audiocraft.data.audio import audio_write
+import fal
+from fastapi import Response, status
+import torch
+
+DATA_DIR = Path("/data/audio")
+
+PROMPTS = [
+    "Create a futuristic lo-fi beat that blends modern electronic elements with synthwave influences. Incorporate smooth, atmospheric synths and gentle, relaxing rhythms to evoke a sense of a serene, neon-lit future. Ensure  the track is continuous with no background noise or interruptions, maintaining a calm and tranquil atmosphere throughout while adding a touch of retro-futuristic vibes.",
+    "gentle lo-fi beat with a smooth, mellow piano melody in the background. Ensure there are no background noises or interruptions, maintaining a continuous and seamless flow throughout the track. The beat should be relaxing and tranquil, perfect for a calm and reflective atmosphere.",
+    "Create an earthy lo-fi beat that evokes a natural, grounded atmosphere. Incorporate organic sounds like soft percussion, rustling leaves, and gentle acoustic instruments. The track should have a warm, soothing rhythm with a continuous flow and no background noise or interruptions, maintaining a calm and reflective ambiance throughout.",
+    "Create a soothing lo-fi beat featuring gentle, melodic guitar riffs. The guitar should be the focal point, supported by subtle, ambient electronic elements and a smooth, relaxed rhythm. Ensure the track is continuous with no background noise or interruptions, maintaining a warm and mellow atmosphere throughout.",
+    "Create an ambient lo-fi beat with a tranquil and ethereal atmosphere. Use soft, atmospheric pads, gentle melodies, and minimalistic percussion to evoke a sense of calm and serenity. Ensure the track is continuous with no background noise or interruptions, maintaining a soothing and immersive ambiance throughout.",
+]
+
+
+class InfinifiFalApp(fal.App, keep_alive=300):
+    machine_type = "GPU-A6000"
+    requirements = [
+        "torch==2.1.0",
+        "audiocraft==1.3.0",
+        "torchaudio==2.1.0",
+        "websockets==11.0.3",
+        "numpy==1.26.4",
+    ]
+
+    __is_generating = False
+
+    def setup(self):
+        import torchaudio
+        from audiocraft.models.musicgen import MusicGen
+
+        self.model = MusicGen.get_pretrained("facebook/musicgen-large")
+        self.model.set_generation_params(duration=60)
+
+    @fal.endpoint("/generate")
+    def run(self):
+        if self.__is_generating:
+            return Response(status_code=status.HTTP_409_CONFLICT)
+        threading.Thread(target=self.__generate_audio).start()
+
+    @fal.endpoint("/clips/{index}")
+    def get_clips(self, index):
+        if self.__is_generating:
+            return Response(status_code=status.HTTP_404_NOT_FOUND)
+
+        path = DATA_DIR.joinpath(f"{index}")
+        with open(path.with_suffix(".mp3"), "rb") as f:
+            data = f.read()
+            return Response(content=data)
+
+    def __generate_audio(self):
+        self.__is_generating = True
+
+        print(f"[INFO] {datetime.datetime.now()}: generating audio...")
+
+        wav = self.model.generate(PROMPTS)
+        for i, one_wav in enumerate(wav):
+            path = DATA_DIR.joinpath(f"{i}")
+            audio_write(
+                path,
+                one_wav.cpu(),
+                self.model.sample_rate,
+                format="mp3",
+                strategy="loudness",
+                loudness_compressor=True,
+                make_parent_dir=True,
+            )
+
+        self.__is_generating = False

generate.py

@@ -2,22 +2,17 @@ import torchaudio
 from audiocraft.models.musicgen import MusicGen
 from audiocraft.data.audio import audio_write
 
+from prompts import PROMPTS
+
 MODEL_NAME = "facebook/musicgen-large"
 MUSIC_DURATION_SECONDS = 60
 
 model = MusicGen.get_pretrained(MODEL_NAME)
 model.set_generation_params(duration=MUSIC_DURATION_SECONDS)
-descriptions = [
-    "Create a futuristic lo-fi beat that blends modern electronic elements with synthwave influences. Incorporate smooth, atmospheric synths and gentle, relaxing rhythms to evoke a sense of a serene, neon-lit future. Ensure  the track is continuous with no background noise or interruptions, maintaining a calm and tranquil atmosphere throughout while adding a touch of retro-futuristic vibes.",
-    "gentle lo-fi beat with a smooth, mellow piano melody in the background. Ensure there are no background noises or interruptions, maintaining a continuous and seamless flow throughout the track. The beat should be relaxing and tranquil, perfect for a calm and reflective atmosphere.",
-    "Create an earthy lo-fi beat that evokes a natural, grounded atmosphere. Incorporate organic sounds like soft percussion, rustling leaves, and gentle acoustic instruments. The track should have a warm, soothing rhythm with a continuous flow and no background noise or interruptions, maintaining a calm and reflective ambiance throughout.",
-    "Create a soothing lo-fi beat featuring gentle, melodic guitar riffs. The guitar should be the focal point, supported by subtle, ambient electronic elements and a smooth, relaxed rhythm. Ensure the track is continuous with no background noise or interruptions, maintaining a warm and mellow atmosphere throughout.",
-    "Create an ambient lo-fi beat with a tranquil and ethereal atmosphere. Use soft, atmospheric pads, gentle melodies, and minimalistic percussion to evoke a sense of calm and serenity. Ensure the track is continuous with no background noise or interruptions, maintaining a soothing and immersive ambiance throughout.",
-]
 
 
 def generate(offset=0):
-    wav = model.generate(descriptions)
+    wav = model.generate(PROMPTS)
 
     for idx, one_wav in enumerate(wav):
         # Will save under {idx}.wav, with loudness normalization at -14 db LUFS.

generate_manual.py

@@ -3,6 +3,8 @@ import time
 from audiocraft.models.musicgen import MusicGen
 from audiocraft.data.audio import audio_write
 
+from prompts import PROMPTS
+
 MODEL_NAME = "facebook/musicgen-large"
 MUSIC_DURATION_SECONDS = 60
 
@@ -10,18 +12,11 @@ print("obtaining model...")
 
 model = MusicGen.get_pretrained(MODEL_NAME)
 model.set_generation_params(duration=MUSIC_DURATION_SECONDS)
-descriptions = [
-    "Create a futuristic lo-fi beat that blends modern electronic elements with synthwave influences. Incorporate smooth, atmospheric synths and gentle, relaxing rhythms to evoke a sense of a serene, neon-lit future. Ensure  the track is continuous with no background noise or interruptions, maintaining a calm and tranquil atmosphere throughout while adding a touch of retro-futuristic vibes.",
-    "gentle lo-fi beat with a smooth, mellow piano melody in the background. Ensure there are no background noises or interruptions, maintaining a continuous and seamless flow throughout the track. The beat should be relaxing and tranquil, perfect for a calm and reflective atmosphere.",
-    "Create an earthy lo-fi beat that evokes a natural, grounded atmosphere. Incorporate organic sounds like soft percussion, rustling leaves, and gentle acoustic instruments. The track should have a warm, soothing rhythm with a continuous flow and no background noise or interruptions, maintaining a calm and reflective ambiance throughout.",
-    "Create a soothing lo-fi beat featuring gentle, melodic guitar riffs. The guitar should be the focal point, supported by subtle, ambient electronic elements and a smooth, relaxed rhythm. Ensure the track is continuous with no background noise or interruptions, maintaining a warm and mellow atmosphere throughout.",
-    "Create an ambient lo-fi beat with a tranquil and ethereal atmosphere. Use soft, atmospheric pads, gentle melodies, and minimalistic percussion to evoke a sense of calm and serenity. Ensure the track is continuous with no background noise or interruptions, maintaining a soothing and immersive ambiance throughout.",
-]
 
 print("model obtained. generating audio...")
 
 a = time.time()
-wav = model.generate(descriptions)
+wav = model.generate(PROMPTS)
 b = time.time()
 
 print(f"audio generated. took {b - a} seconds.")

prompts.py

@@ -0,0 +1,7 @@
+PROMPTS = [
+    "Create a futuristic lo-fi beat that blends modern electronic elements with synthwave influences. Incorporate smooth, atmospheric synths and gentle, relaxing rhythms to evoke a sense of a serene, neon-lit future. Ensure  the track is continuous with no background noise or interruptions, maintaining a calm and tranquil atmosphere throughout while adding a touch of retro-futuristic vibes.",
+    "gentle lo-fi beat with a smooth, mellow piano melody in the background. Ensure there are no background noises or interruptions, maintaining a continuous and seamless flow throughout the track. The beat should be relaxing and tranquil, perfect for a calm and reflective atmosphere.",
+    "Create an earthy lo-fi beat that evokes a natural, grounded atmosphere. Incorporate organic sounds like soft percussion, rustling leaves, and gentle acoustic instruments. The track should have a warm, soothing rhythm with a continuous flow and no background noise or interruptions, maintaining a calm and reflective ambiance throughout.",
+    "Create a soothing lo-fi beat featuring gentle, melodic guitar riffs. The guitar should be the focal point, supported by subtle, ambient electronic elements and a smooth, relaxed rhythm. Ensure the track is continuous with no background noise or interruptions, maintaining a warm and mellow atmosphere throughout.",
+    "Create an ambient lo-fi beat with a tranquil and ethereal atmosphere. Use soft, atmospheric pads, gentle melodies, and minimalistic percussion to evoke a sense of calm and serenity. Ensure the track is continuous with no background noise or interruptions, maintaining a soothing and immersive ambiance throughout.",
+]

server.py

@@ -1,9 +1,10 @@
 import threading
 import os
+from time import sleep
+import requests
 
-import websocket
 from contextlib import asynccontextmanager
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect, status
 from fastapi.responses import FileResponse
 from fastapi.staticfiles import StaticFiles
 from logger import log_info, log_warn
@@ -13,33 +14,32 @@ from websocket_connection_manager import WebSocketConnectionManager
 current_index = -1
 # the timer that periodically advances the current audio track
 t = None
-# websocket connection to the inference server
+inference_url = ""
-ws = None
+api_key = ""
-ws_url = ""
 ws_connection_manager = WebSocketConnectionManager()
 active_listeners = set()
 
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
-    global ws, ws_url
+    global ws, inference_url, api_key
 
-    ws_url = os.environ.get("INFERENCE_SERVER_WS_URL")
+    inference_url = os.environ.get("INFERENCE_SERVER_URL")
-    if not ws_url:
+    api_key = os.environ.get("API_KEY")
-        ws_url = "ws://localhost:8001"
+
+    if not inference_url:
+        inference_url = "http://localhost:8001"
 
     advance()
 
     yield
 
-    if ws:
-        ws.close()
     if t:
         t.cancel()
 
 
 def generate_new_audio():
-    if not ws_url:
+    if not inference_url:
         return
 
     global current_index
@@ -52,31 +52,61 @@ def generate_new_audio():
     else:
         return
 
-    log_info("generating new audio...")
+    log_info("requesting new audio...")
 
     try:
-        ws = websocket.create_connection(ws_url)
+        requests.post(
-
+            f"{inference_url}/generate",
-        ws.send("generate")
+            headers={"Authorization": f"key {api_key}"},
-
+        )
-        wavs = []
-        for i in range(5):
-            raw = ws.recv()
-            if isinstance(raw, str):
-                continue
-            wavs.append(raw)
-
-        for i, wav in enumerate(wavs):
-            with open(f"{i + offset}.mp3", "wb") as f:
-                f.write(wav)
-
-        log_info("audio generated.")
-
-        ws.close()
     except:
         log_warn(
             "inference server potentially unreachable. recycling cached audio for now."
         )
+        return
+
+    is_available = False
+    while not is_available:
+        try:
+            res = requests.post(
+                f"{inference_url}/clips/0",
+                stream=True,
+                headers={"Authorization": f"key {api_key}"},
+            )
+        except:
+            log_warn(
+                "inference server potentially unreachable. recycling cached audio for now."
+            )
+            return
+
+        if res.status_code != status.HTTP_200_OK:
+            print(res.status_code)
+            print("still generating...")
+            sleep(30)
+            continue
+
+        print("inference complete! downloading new clips")
+
+        is_available = True
+        with open(f"{offset}.mp3", "wb") as f:
+            for chunk in res.iter_content(chunk_size=128):
+                f.write(chunk)
+
+    for i in range(4):
+        res = requests.post(
+            f"{inference_url}/clips/{i + 1}",
+            stream=True,
+            headers={"Authorization": f"key {api_key}"},
+        )
+
+        if res.status_code != status.HTTP_200_OK:
+            continue
+
+        with open(f"{i + 1 + offset}.mp3", "wb") as f:
+            for chunk in res.iter_content(chunk_size=128):
+                f.write(chunk)
+
+    log_info("audio generated.")
 
 
 def advance():

web/images/fal-logo-dark.svg

@@ -0,0 +1 @@
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web/images/fal-logo-light.svg

@@ -0,0 +1 @@
+<svg width="100%" height="100%" viewBox="0 0 89 32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M52.308 3.07812H57.8465V4.92428H56.0003V6.77043H54.1541V10.4627H57.8465V12.3089H54.1541V25.232H52.308V27.0781H46.7695V25.232H48.6157V12.3089H46.7695V10.4627H48.6157V6.77043H50.4618V4.92428H52.308V3.07812Z" fill="currentColor"></path><path d="M79.3849 23.3858H81.2311V25.232H83.0772V27.0781H88.6157V25.232H86.7695V23.3858H84.9234V4.92428H79.3849V23.3858Z" fill="currentColor"></path><path d="M57.8465 14.155H59.6926V12.3089H61.5388V10.4627H70.7695V12.3089H74.4618V23.3858H76.308V25.232H78.1541V27.0781H72.6157V25.232H70.7695V23.3858H68.9234V14.155H67.0772V12.3089H65.2311V14.155H63.3849V23.3858H65.2311V25.232H67.0772V27.0781H61.5388V25.232H59.6926V23.3858H57.8465V14.155Z" fill="currentColor"></path><path d="M67.0772 25.232V23.3858H68.9234V25.232H67.0772Z" fill="currentColor"></path><rect opacity="0.22" x="7.38477" y="29.5391" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="2.46094" y="19.6914" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="4.92383" y="17.2305" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="7.38477" y="27.0781" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" y="22.1562" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="7.38477" y="24.6133" width="7.38462" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.22" x="7.38477" y="12.3086" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="2.46094" y="2.46094" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="4.92383" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="7.38477" y="9.84375" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" y="4.92188" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="7.38477" y="7.38281" width="7.38462" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.22" x="24.6152" y="29.5391" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="19.6914" y="19.6914" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="22.1543" y="17.2305" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="24.6152" y="27.0781" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" x="17.2305" y="22.1562" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="24.6152" y="24.6133" width="7.38462" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.22" x="24.6152" y="12.3086" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="19.6914" y="2.46094" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="22.1543" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="24.6152" y="9.84375" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" x="17.2305" y="4.92188" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="24.6152" y="7.38281" width="7.38462" height="2.46154" fill="#5F4CD9"></rect></svg>

web/index.html

@@ -31,7 +31,11 @@
 				</div>
 
 				<div class="status-bar">
+					<div id="listener-stats-container">
+						<p id="timer-display-label">joined HH:MM</p>
+						<p class="status-bar-listener-separator">&middot;</p>
 						<p id="listener-count">0 person tuned in</p>
+					</div>					
 					<div id="volume-slider-container">
 						<output id="current-volume-label" for="volume-slider">100%</output>
 						<input id="volume-slider" type="range" min="0" max="100" step="1" />
@@ -51,7 +55,15 @@
 		</div>
 
 		<footer>
-			<span>made by kennethnym &lt;3 ·&nbsp;</span>
+			made by&nbsp<a href="https://kennethnym.com">kennethnym</a>&nbsp;&lt;3 &middot; powered by
+			<a class="fal-link" href="https://fal.ai">
+				<picture>
+					<source srcset="./images/fal-logo-light.svg" media="(prefers-color-scheme: light)" />
+					<source srcset="./images/fal-logo-dark.svg" media="(prefers-color-scheme: dark)" />
+					<img class="fal-logo" fill="none" src="./images/fal-logo-dark.svg">
+				</picture>
+			</a>
+      &middot;
 			<a target="_blank" rel="noopener noreferrer" href="https://github.com/kennethnym/infinifi">github</a>
 		</footer>
 

web/script.js

@@ -11,6 +11,7 @@ const heartImg = document.getElementById("heart");
 const volumeSlider = document.getElementById("volume-slider");
 const currentVolumeLabel = document.getElementById("current-volume-label");
 const listenerCountLabel = document.getElementById("listener-count");
+const timerDisplayLabel = document.getElementById("timer-display-label");
 const notificationContainer = document.getElementById("notification");
 const notificationTitle = document.getElementById("notification-title");
 const notificationBody = document.getElementById("notification-body");
@@ -31,6 +32,8 @@ let saveVolumeTimeout = null;
 let meowCount = 0;
 let ws = connectToWebSocket();
 
+const joinedTime = new Date();
+
 function playAudio() {
 	// add a random query parameter at the end to prevent browser caching
 	currentAudio = new Audio(`./current.mp3?t=${Date.now()}`);
@@ -229,6 +232,33 @@ function showNotification(title, content, duration) {
 	}, duration);
 }
 
+function dateToHumanTime(dateVal, includeSeconds = false) {
+	// Extract hours, minutes
+	let hours = dateVal.getHours();
+	let minutes = dateVal.getMinutes();
+	let seconds = dateVal.getSeconds();
+
+	// Add leading zeros if the values are less than 10
+	hours = hours < 10 ? '0' + hours : hours;
+	minutes = minutes < 10 ? '0' + minutes : minutes;
+	seconds = seconds < 10 ? '0' + seconds : seconds;
+
+	// Combine into HH:MM format
+	if (includeSeconds) {
+		return `${hours}:${minutes}:${seconds}`;
+	}
+	return `${hours}:${minutes}`;
+}
+
+function loadTimerDisplay() {
+	const now = new Date();
+	timerDisplayLabel.innerText = `${dateToHumanTime(now)} | joined ${dateToHumanTime(joinedTime)}`;
+
+	// seconds until next full minutes 
+	// + 1 seconds to ensure non null value
+	setTimeout(loadTimerDisplay, (61 - now.getSeconds()) * 1000);
+}
+
 playBtn.onmousedown = () => {
 	clickAudio.play();
 	document.addEventListener(
@@ -300,3 +330,4 @@ loadMeowCount();
 loadInitialVolume();
 animateCat();
 enableSpaceBarControl();
+loadTimerDisplay();

web/style.css

@@ -72,9 +72,12 @@ main {
 
 footer {
   padding: 1rem 0;
-  display: flex;
   align-items: center;
   justify-content: center;
+  color: var(--text);
+  text-align: center;
+  text-wrap: nowrap;
+  overflow: auto;
 }
 @media (min-width: 768px) {
   footer {
@@ -82,11 +85,6 @@ footer {
   }
 }
 
-footer > span {
-  color: var(--text);
-  opacity: 0.5;
-}
-
 a {
   color: var(--link-accent);
 }
@@ -117,18 +115,39 @@ a {
   left: 0;
   right: 0;
   z-index: -10;
-  display: flex;
-  flex-direction: row;
-  justify-content: space-between;
   padding: 2rem;
   z-index: 0;
   color: var(--text);
 }
 
-.status-bar > #listener-count {
+@media (min-width: 460px){
+  .status-bar{
+    display: flex;
+    flex-direction: row;
+    justify-content: space-between;
+  }
+}
+
+.status-bar #listener-stats-container {
+  padding-right: 0.5rem;
+}
+
+.status-bar #listener-stats-container > * {
+  display: inline-block;
   margin: 0;
   opacity: 0.8;
-  padding-right: 1rem;
+  padding-right: 0.5rem;
+}
+
+@media (max-width: 650px) {
+  .status-bar #listener-stats-container > * {
+    display: block;
+    margin-bottom: 0.5rem;
+  }
+
+  .status-bar #listener-stats-container .status-bar-listener-separator {
+    display: none;
+  }
 }
 
 .header {
@@ -378,3 +397,12 @@ aside#notification > #notification-title {
     opacity: 0;
   }
 }
+
+.fal-logo {
+  vertical-align: bottom;
+  height: 1rem;
+}
+
+.fal-link {
+  text-decoration: none;
+}