Update app.py

app.py

@@ -2,8 +2,6 @@ import gradio as gr
 import subprocess
 import json
 import os
-import asyncio
-import edge_tts
 import requests
 import urllib.parse
 import spaces
@@ -13,23 +11,11 @@ HF_TOKEN = os.getenv("HF_WRITE_TOKEN")
 api = HfApi(token=HF_TOKEN)
 DATASET_ID = "oviet711/render-factory"
 
-async def generate_audio(text, chunk_id):
-    filename = f"audio_{chunk_id}.mp3"
-    # Menggunakan suara pria Indonesia yang lebih natural
-    communicate = edge_tts.Communicate(text, "id-ID-ArdiNeural")
-    await communicate.save(filename)
-    return filename
-
 def generate_ai_image(keyword, chunk_id):
-    print(f"🎨 Menarik gambar dari server eksternal untuk keyword: {keyword}")
+    print(f"🎨 Visual: {keyword}")
     try:
-        # Prompt visual yang memaksa gambar estetik dan gelap
-        prompt = f"cinematic photography, ultra realistic, highly detailed, {keyword}, dark moody lighting, 8k resolution"
-        encoded_prompt = urllib.parse.quote(prompt)
-        
-        # Trik bypass menggunakan Pollinations AI (Tanpa API Key, gambar pasti jadi)
+        encoded_prompt = urllib.parse.quote(f"cinematic photography, ultra realistic, highly detailed, {keyword}, dark moody lighting, 8k")
         url = f"https://image.pollinations.ai/prompt/{encoded_prompt}?width=1080&height=1920&nologo=true"
-        
         response = requests.get(url, stream=True)
         if response.status_code == 200:
             bg_filename = f"bg_{chunk_id}.png"
@@ -37,8 +23,7 @@ def generate_ai_image(keyword, chunk_id):
                 for chunk in response.iter_content(1024):
                     f.write(chunk)
             return bg_filename
-    except Exception as e:
-        print(f"⚠️ Gagal menarik gambar: {e}")
+    except Exception: pass
     return None
 
 @spaces.GPU
@@ -47,56 +32,38 @@ def render_worker(json_data):
         data = json.loads(json_data)
         chunk_id = data.get('chunk_id', '000')
         text = data.get('text', 'Teks kosong')
-        keyword = data.get('keyword', 'technology')
-        
-        print(f"⚙️ Memproses Chunk {chunk_id}: {text}")
+        keyword = data.get('keyword', 'fresh juice')
         
-        # 1. Generate Audio
-        asyncio.run(generate_audio(text, chunk_id))
+        # 1. Generate Audio & Subtitle VTT langsung pakai Edge-TTS CLI
+        audio_file = f"audio_{chunk_id}.mp3"
+        vtt_file = f"sub_{chunk_id}.vtt"
+        subprocess.run(["edge-tts", "--voice", "id-ID-ArdiNeural", "--text", text, "--write-media", audio_file, "--write-subtitles", vtt_file], check=True)
         
-        # 2. Tarik Visual 4K
+        # 2. Tarik Gambar
         bg_image = generate_ai_image(keyword, chunk_id)
-        
         output_filename = f"chunk_{chunk_id}.mp4"
-        status_visual = "Layar Hitam (Fallback)"
         
-        # 3. Render Video
+        # 3. Render (Efek Zoom + Bakar Subtitle Kuning Besar di tengah)
         if bg_image:
-            status_visual = "Gambar AI 4K"
             cmd = [
                 "ffmpeg", "-y",
                 "-loop", "1", "-framerate", "25",
                 "-i", bg_image,
-                "-i", f"audio_{chunk_id}.mp3",
-                "-vf", "scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920",
+                "-i", audio_file,
+                "-vf", f"scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,zoompan=z='min(zoom+0.001,1.1)':d=500,subtitles={vtt_file}:force_style='FontSize=24,PrimaryColour=&H00FFFF,Alignment=2,MarginV=150'",
                 "-c:v", "libx264", "-c:a", "aac",
-                "-shortest",
-                "-pix_fmt", "yuv420p",
-                "-movflags", "frag_keyframe+empty_moov",
-                output_filename
+                "-shortest", "-pix_fmt", "yuv420p", output_filename
             ]
-        else:
-            cmd = [
-                "ffmpeg", "-y",
-                "-f", "lavfi", "-i", "color=c=black:s=1080x1920:d=30",
-                "-i", f"audio_{chunk_id}.mp3",
-                "-c:v", "libx264", "-c:a", "aac",
-                "-shortest",
-                "-movflags", "frag_keyframe+empty_moov",
-                output_filename
-            ]
-            
-        subprocess.run(cmd, check=True)
+            subprocess.run(cmd, check=True)
         
-        # 4. Upload
+        # 4. Upload ke HF
         api.upload_file(
             path_or_fileobj=output_filename,
             path_in_repo=f"chunks/{output_filename}",
             repo_id=DATASET_ID,
             repo_type="dataset"
         )
-        
-        return f"✅ SUKSES: {output_filename} (Keyword: {keyword}) dirender dengan {status_visual}."
+        return f"✅ SUKSES Chunk {chunk_id}"
     except Exception as e:
         return f"❌ ERROR: {str(e)}"