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Update app.py
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app.py
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@@ -26,37 +26,37 @@ HTML_TEMPLATE = """
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>AI
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<script src="https://cdn.tailwindcss.com"></script>
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</head>
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<body class="bg-
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<div class="w-full max-w-2xl bg-gray-900 p-8 rounded-3xl border border-gray-800 shadow-2xl">
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<h1 class="text-3xl font-black text-center mb-2 bg-gradient-to-r from-
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<p class="text-center text-gray-500 text-sm mb-8">
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<form id="clipForm" class="space-y-6">
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<input type="url" id="videoUrl" class="w-full p-4 bg-gray-800 rounded-xl border border-gray-700 outline-none focus:ring-2 focus:ring-
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<div class="text-center font-bold text-gray-700 text-xs tracking-widest">ATAU UPLOAD FILE</div>
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<input type="file" id="videoFile" accept="video/mp4" class="w-full text-sm text-gray-400 file:mr-4 file:py-2 file:px-4 file:rounded-full file:border-0 file:bg-
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<button type="submit" class="w-full bg-
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</form>
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<div id="statusArea" class="mt-10 hidden">
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<div class="flex justify-between mb-2">
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<span id="statusText" class="text-sm font-bold text-
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<span id="percentText" class="text-sm font-black">0%</span>
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</div>
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<div class="w-full bg-gray-800 rounded-full h-4 p-1">
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<div id="progressBar" class="bg-gradient-to-r from-
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</div>
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</div>
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<div id="resultArea" class="mt-10 hidden text-center">
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<video id="player" controls class="w-full rounded-2xl border border-gray-700 shadow-2xl bg-black mb-6" style="max-height:
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<div class="flex gap-3">
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<a id="downloadBtn" href="#" class="flex-1 bg-white text-black font-black py-3 rounded-xl">DOWNLOAD</a>
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<button onclick="location.reload()" class="px-6 bg-gray-800 rounded-xl border border-gray-700">
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</div>
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</div>
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</div>
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@@ -112,16 +112,19 @@ HTML_TEMPLATE = """
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def time_to_seconds(time_str):
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try:
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parts = list(map(int, time_str.split(':')))
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return parts[0] *
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except: return 0
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def background_processor(job_id, video_path):
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try:
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full_clip = VideoFileClip(video_path)
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original_width, original_height = full_clip.size
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# 1. Transkripsi
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JOBS[job_id].update({"message": "AI mentranskrip
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segments_whisper, _ = whisper_model.transcribe(video_path, word_timestamps=True)
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words_data = []
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@@ -129,45 +132,62 @@ def background_processor(job_id, video_path):
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for segment in segments_whisper:
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for word in segment.words:
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words_data.append(word)
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try:
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r = requests.post("https://www.puruboy.kozow.com/api/ai/letmegpt", json={"message": prompt}, timeout=
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ai_ans = r.get("result", {}).get("answer", "[]")
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points = json.loads(json_match.group(0)) if json_match else []
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except:
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# 3.
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JOBS[job_id].update({"message": "
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cut_ranges = []
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for p in points:
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-
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#
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if wd.start > start_point:
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next_subtitle_time = wd.start
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break
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cut_ranges.append({'start': max(0, start_point - 1), 'end': end_point})
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# 4. Pemotongan & Penggabungan
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JOBS[job_id].update({"message": "
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subclips = []
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final_words_clips = []
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@@ -177,46 +197,56 @@ def background_processor(job_id, video_path):
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if not os.path.exists(font_path): font_path = "Arial"
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for r in cut_ranges:
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#
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v_sub = full_clip.subclip(r['start'], r['end'])
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subclips.append(v_sub)
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# Buat Subtitle
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for wd in words_data:
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t = TextClip(
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wd.word.strip().upper(),
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font=font_path,
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method='label'
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).set_start(rel_start).set_end(rel_end).set_position(('center', int(original_height*0.85)))
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final_words_clips.append(t)
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current_timeline += (r['end'] - r['start'])
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# Gabungkan
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merged_video = concatenate_videoclips(subclips, method="compose")
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#
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final_result = CompositeVideoClip([merged_video] + final_words_clips)
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output_filename = f"final_{job_id}.mp4"
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output_path = os.path.join(app.config['UPLOAD_FOLDER'], output_filename)
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final_result.write_videofile(
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output_path,
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fps=24,
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codec="libx264",
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audio_codec="aac",
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preset="ultrafast",
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logger=None
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)
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#
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full_clip.close()
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merged_video.close()
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final_result.close()
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@@ -224,16 +254,15 @@ def background_processor(job_id, video_path):
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JOBS[job_id].update({
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"status": "completed",
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"progress": 100,
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"message": "Video
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"result": output_filename
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"files_to_delete": JOBS[job_id]['files_to_delete'] + [output_path]
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})
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except Exception as e:
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JOBS[job_id].update({"status": "error", "message": str(e)})
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# ==========================================
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# ROUTES
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# ==========================================
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@app.route('/')
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@@ -245,24 +274,28 @@ def generate():
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job_id = str(uuid.uuid4())
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video_path = os.path.join(app.config['UPLOAD_FOLDER'], f"{job_id}_in.mp4")
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JOBS[job_id] = {
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"status": "processing", "progress": 5, "message": "
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"result": None, "created_at": time.time(), "files_to_delete": [video_path]
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}
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threading.Thread(target=background_processor, args=(job_id, video_path)).start()
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return jsonify({"job_id": job_id})
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@app.route('/status/<job_id>')
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def status(job_id):
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return jsonify(JOBS.get(job_id, {"status": "error", "message": "Expired"}))
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@app.route('/view/<filename>')
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def view_video(filename):
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>AI Pro Clip Editor</title>
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<script src="https://cdn.tailwindcss.com"></script>
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</head>
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<body class="bg-gray-950 text-gray-200 min-h-screen flex flex-col items-center p-6">
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<div class="w-full max-w-2xl bg-gray-900 p-8 rounded-3xl border border-gray-800 shadow-2xl">
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<h1 class="text-3xl font-black text-center mb-2 bg-gradient-to-r from-green-400 to-blue-500 bg-clip-text text-transparent">AI SMART CLIPPER</h1>
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<p class="text-center text-gray-500 text-sm mb-8">Memotong video dengan logika penceritaan utuh</p>
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<form id="clipForm" class="space-y-6">
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<input type="url" id="videoUrl" class="w-full p-4 bg-gray-800 rounded-xl border border-gray-700 outline-none focus:ring-2 focus:ring-green-500" placeholder="Masukkan Link Video MP4...">
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<div class="text-center font-bold text-gray-700 text-xs tracking-widest">ATAU UPLOAD FILE</div>
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<input type="file" id="videoFile" accept="video/mp4" class="w-full text-sm text-gray-400 file:mr-4 file:py-2 file:px-4 file:rounded-full file:border-0 file:bg-green-600 file:text-white hover:file:bg-green-700">
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<button type="submit" class="w-full bg-green-600 hover:bg-green-500 text-white font-black py-4 rounded-xl transition-all transform active:scale-95 shadow-xl">BUAT VIDEO VIRAL ✨</button>
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</form>
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<div id="statusArea" class="mt-10 hidden">
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<div class="flex justify-between mb-2">
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<span id="statusText" class="text-sm font-bold text-green-400 italic">Menganalisis...</span>
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<span id="percentText" class="text-sm font-black">0%</span>
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</div>
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<div class="w-full bg-gray-800 rounded-full h-4 p-1">
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<div id="progressBar" class="bg-gradient-to-r from-green-500 to-blue-500 h-2 rounded-full transition-all duration-700" style="width: 0%"></div>
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</div>
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</div>
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<div id="resultArea" class="mt-10 hidden text-center">
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<video id="player" controls class="w-full rounded-2xl border border-gray-700 shadow-2xl bg-black mb-6" style="max-height: 450px;"></video>
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<div class="flex gap-3">
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<a id="downloadBtn" href="#" class="flex-1 bg-white text-black font-black py-3 rounded-xl hover:bg-gray-200 transition">DOWNLOAD HD</a>
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<button onclick="location.reload()" class="px-6 bg-gray-800 rounded-xl border border-gray-700 hover:bg-gray-700">BUAT LAGI</button>
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</div>
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</div>
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</div>
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def time_to_seconds(time_str):
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try:
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parts = list(map(int, time_str.split(':')))
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if len(parts) == 3: return parts[0] * 3600 + parts[1] * 60 + parts[2]
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if len(parts) == 2: return parts[0] * 60 + parts[1]
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return parts[0]
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except: return 0
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def background_processor(job_id, video_path):
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try:
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full_clip = VideoFileClip(video_path)
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original_width, original_height = full_clip.size
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total_duration = full_clip.duration
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# 1. Transkripsi Detail
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JOBS[job_id].update({"message": "AI mentranskrip & membaca waktu...", "progress": 15})
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segments_whisper, _ = whisper_model.transcribe(video_path, word_timestamps=True)
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words_data = []
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for segment in segments_whisper:
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for word in segment.words:
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words_data.append(word)
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# Buat transkrip per kalimat untuk AI agar konteksnya jelas
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transcript_text += f"[{int(segment.start//60):02d}:{int(segment.start%60):02d} - {int(segment.end//60):02d}:{int(segment.end%60):02d}] {segment.text.strip()}\n"
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# 2. AI Prompt Khusus Editor Video
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JOBS[job_id].update({"message": "Menyusun skenario cerita (AI Editor)...", "progress": 35})
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# PROMPT SUPER: Memaksa AI memberikan start dan end yang utuh
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prompt = f"""Kamu adalah Editor Video Viral Profesional.
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Tugasmu adalah memotong transkrip video ini menjadi 1 hingga 3 klip pendek yang jika digabungkan akan menjadi satu cerita yang sangat menarik, nyambung, dan tidak terpotong di tengah kalimat.
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Syarat Wajib:
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1. Pastikan setiap potongan berisi kalimat yang UTUH (Selesai titik/koma).
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2. Gabungan potongan ini harus nyambung ceritanya (contoh: Hook -> Isi Masalah -> Punchline/Kesimpulan).
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3. Balas HANYA dengan format JSON murni, tanpa teks lain di luar JSON.
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Format JSON yang diwajibkan:
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[
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{{"start": "MM:SS", "end": "MM:SS", "narasi": "Alasan memilih klip ini"}},
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{{"start": "MM:SS", "end": "MM:SS", "narasi": "Alasan klip selanjutnya"}}
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]
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Transkrip Video:
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{transcript_text[:3500]}
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"""
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try:
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r = requests.post("https://www.puruboy.kozow.com/api/ai/letmegpt", json={"message": prompt}, timeout=25).json()
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ai_ans = r.get("result", {}).get("answer", "[]")
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# Ekstraksi ketat JSON
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json_match = re.search(r'\[\s*\{.*?\}\s*\]', ai_ans, re.DOTALL)
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points = json.loads(json_match.group(0)) if json_match else []
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except:
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# Fallback jika AI API error
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points = [{"start": "00:00", "end": "00:15", "narasi": "Fallback awal"}]
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if not points:
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raise Exception("AI gagal merumuskan JSON. Silakan coba lagi.")
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# 3. Sinkronisasi Pemotongan Presisi
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JOBS[job_id].update({"message": "Merapikan potongan video...", "progress": 55})
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cut_ranges = []
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for p in points:
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raw_start = time_to_seconds(p.get('start', '00:00'))
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raw_end = time_to_seconds(p.get('end', '00:10'))
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# Berikan Buffer/Padding Halus (0.5 Detik) agar suara napas/ujung kata tidak terpotong kasar
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start_sec = max(0, raw_start - 0.5)
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end_sec = min(total_duration, raw_end + 0.5)
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if start_sec < end_sec:
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cut_ranges.append({'start': start_sec, 'end': end_sec})
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# 4. Pemotongan & Penggabungan
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JOBS[job_id].update({"message": "Merender gabungan klip...", "progress": 70})
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subclips = []
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final_words_clips = []
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if not os.path.exists(font_path): font_path = "Arial"
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for r in cut_ranges:
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# Subclip Video Asli
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v_sub = full_clip.subclip(r['start'], r['end'])
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subclips.append(v_sub)
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# Buat Subtitle per kata dengan penyesuaian timeline
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for wd in words_data:
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# Cek kata yang masuk dalam rentang klip ini
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if wd.start >= (r['start'] - 0.5) and wd.end <= (r['end'] + 0.5):
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# Geser waktu subtitle agar cocok dengan waktu video yang sudah digabung
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rel_start = max(0, wd.start - r['start']) + current_timeline
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rel_end = max(0, wd.end - r['start']) + current_timeline
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t = TextClip(
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wd.word.strip().upper(),
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font=font_path,
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fontsize=original_height*0.06, # Dinamis menyesuaikan resolusi
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color='yellow',
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stroke_color='black',
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stroke_width=2,
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method='label'
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).set_start(rel_start).set_end(rel_end).set_position(('center', int(original_height*0.85)))
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final_words_clips.append(t)
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# Tambahkan durasi klip ke timeline untuk klip selanjutnya
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current_timeline += (r['end'] - r['start'])
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# Gabungkan klip-klip yang sudah dipilih AI
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merged_video = concatenate_videoclips(subclips, method="compose")
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# Tempelkan semua subtitle yang sudah disinkronkan ke video gabungan
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final_result = CompositeVideoClip([merged_video] + final_words_clips)
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output_filename = f"final_{job_id}.mp4"
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output_path = os.path.join(app.config['UPLOAD_FOLDER'], output_filename)
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| 236 |
+
JOBS[job_id]['files_to_delete'].append(output_path)
|
| 237 |
+
|
| 238 |
+
# Proses Rendering Final
|
| 239 |
final_result.write_videofile(
|
| 240 |
output_path,
|
| 241 |
fps=24,
|
| 242 |
codec="libx264",
|
| 243 |
audio_codec="aac",
|
| 244 |
preset="ultrafast",
|
| 245 |
+
threads=4,
|
| 246 |
logger=None
|
| 247 |
)
|
| 248 |
|
| 249 |
+
# Bersihkan Memory RAM
|
| 250 |
full_clip.close()
|
| 251 |
merged_video.close()
|
| 252 |
final_result.close()
|
|
|
|
| 254 |
JOBS[job_id].update({
|
| 255 |
"status": "completed",
|
| 256 |
"progress": 100,
|
| 257 |
+
"message": "Video Siap Ditonton!",
|
| 258 |
+
"result": output_filename
|
|
|
|
| 259 |
})
|
| 260 |
|
| 261 |
except Exception as e:
|
| 262 |
JOBS[job_id].update({"status": "error", "message": str(e)})
|
| 263 |
|
| 264 |
# ==========================================
|
| 265 |
+
# ROUTES & SERVER START
|
| 266 |
# ==========================================
|
| 267 |
|
| 268 |
@app.route('/')
|
|
|
|
| 274 |
job_id = str(uuid.uuid4())
|
| 275 |
video_path = os.path.join(app.config['UPLOAD_FOLDER'], f"{job_id}_in.mp4")
|
| 276 |
|
| 277 |
+
try:
|
| 278 |
+
if 'video_file' in request.files:
|
| 279 |
+
request.files['video_file'].save(video_path)
|
| 280 |
+
elif 'video_url' in request.form:
|
| 281 |
+
r = requests.get(request.form['video_url'], stream=True)
|
| 282 |
+
with open(video_path, 'wb') as f:
|
| 283 |
+
for chunk in r.iter_content(1024*1024): f.write(chunk)
|
| 284 |
+
else: return jsonify({"error": "Video tidak ditemukan"}), 400
|
| 285 |
+
except Exception as e:
|
| 286 |
+
return jsonify({"error": str(e)}), 500
|
| 287 |
|
| 288 |
JOBS[job_id] = {
|
| 289 |
+
"status": "processing", "progress": 5, "message": "Membaca Video...",
|
| 290 |
"result": None, "created_at": time.time(), "files_to_delete": [video_path]
|
| 291 |
}
|
| 292 |
+
|
| 293 |
threading.Thread(target=background_processor, args=(job_id, video_path)).start()
|
| 294 |
return jsonify({"job_id": job_id})
|
| 295 |
|
| 296 |
@app.route('/status/<job_id>')
|
| 297 |
def status(job_id):
|
| 298 |
+
return jsonify(JOBS.get(job_id, {"status": "error", "message": "Job Expired/Tidak valid"}))
|
| 299 |
|
| 300 |
@app.route('/view/<filename>')
|
| 301 |
def view_video(filename):
|