fix

src/app/api/utils/getMediaInfo.ts

@@ -19,13 +19,16 @@ export async function getMediaInfo(input: string): Promise<MediaMetadata> {
   // If the input is a base64 string
   if (input.startsWith("data:")) {
     // Extract the base64 content
-    const base64Content = input.split(";base64,").pop();
-    if (!base64Content) {
+    const [head, tail] = input.split(";base64,")
+    if (!tail) {
       throw new Error("Invalid base64 data");
     }
 
+    const extension = head.split("/").pop() || ""
+    const base64Content = tail || ""
+
     // Decode the base64 content to a buffer
-    const buffer = Buffer.from(base64Content, 'base64');
+    const buffer = Buffer.from(base64Content, 'base64')
 
     // Generate a temporary file name
     const tempFileName = join(tmpdir(), `temp-media-${Date.now()}`);
@@ -56,7 +59,7 @@ async function getMetaDataFromPath(filePath: string): Promise<MediaMetadata> {
       }
 
       if (err) {
-        console.error("getMediaInfo(): failed to analyze the source (might happen with empty files)")
+        console.error("getMediaInfo(): failed to analyze the source (might happen with empty files)", err)
         // reject(err);
         resolve(results);
         return;
@@ -68,7 +71,7 @@ async function getMetaDataFromPath(filePath: string): Promise<MediaMetadata> {
         results.hasAudio = (metadata?.streams || []).some((stream) => stream.codec_type === 'audio');
 
       } catch (err) {
-        console.error(`getMediaInfo(): failed to analyze the source (might happen with empty files)`)
+        console.error(`getMediaInfo(): failed to analyze the source (might happen with empty files)`, err)
         results.durationInSec = 0
         results.durationInMs = 0
         results.hasAudio = false

src/app/api/v1/edit/music/generateMusicWithMusicgen.ts

@@ -2,8 +2,6 @@ import { addBase64Header } from "@/lib/data/addBase64Header"
 import { MusicGenerationParams } from "./types"
 import { getClusterMachine } from "./cluster"
 
-const gradioSpaceApiUrl = `https://jbilcke-hf-ai-tube-model-musicgen.hf.space`
-const huggingFaceSpace = "jbilcke-hf/ai-tube-model-musicgen"
 const microserviceApiKey = `${process.env.MICROSERVICE_API_SECRET_TOKEN || ""}`
 
 /**

src/app/api/v1/edit/videos/processShot.ts

@@ -87,7 +87,7 @@ export async function processShot({
   if (!shotVideoSegment.assetUrl) {
     // console.log(`[api/edit/videos] processShot: generating video file..`)
 
-    const debug = true
+    const debug = false
 
     let width = existingClap.meta.width
     let height = existingClap.meta.height
@@ -124,7 +124,7 @@ export async function processShot({
       throw err
     }
   
-    console.log(`[api/edit/videos] processShot: generated video files: ${shotVideoSegment?.assetUrl?.slice?.(0, 50)}...`)
+    // console.log(`[api/edit/videos] processShot: generated video files: ${shotVideoSegment?.assetUrl?.slice?.(0, 50)}...`)
 
     // if mode is full, newerClap already contains the ference to shotVideoSegment
     // but if it's partial, we need to manually add it

src/app/api/v1/render/route.ts

@@ -31,7 +31,7 @@ export async function POST(req: NextRequest, res: NextResponse) {
   const nbFrames = 80
   const nbFPS = 24
   const nbSteps = turbo ? 4 : 8
-  const debug = true
+  const debug = false
 
   const assetUrl = await render({
     prompt,