Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import torch
+
+# Load model Whisper medium fine-tuned Indonesia (paling direkomendasikan untuk bahasa Indo)
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = pipeline(
+    "automatic-speech-recognition",
+    model="cahya/whisper-medium-id",
+    device=device,
+    torch_dtype=torch.float16 if device == "cuda" else torch.float32,
+)
+
+# Force bahasa Indonesia biar lebih akurat
+pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language="id", task="transcribe")
+
+def transcribe(audio):
+    if audio is None:
+        return "Silakan rekam suara atau upload file audio dulu ya!"
+    try:
+        text = pipe(audio, chunk_length_s=30, max_new_tokens=256)["text"]
+        return text.strip().capitalize() + "."
+    except Exception as e:
+        return f"Error: {str(e)} (coba audio lebih pendek)"
+
+# Interface Gradio yang bagus
+with gr.Blocks(title="Transkripsi Suara Bahasa Indonesia 🇮🇩") as demo:
+    gr.Markdown("# Demo Transkripsi Suara ke Teks Bahasa Indonesia")
+    gr.Markdown("Rekam via mikrofon atau upload audio (.wav/.mp3) → langsung jadi teks akurat! Model: [cahya/whisper-medium-id](https://huggingface.co/cahya/whisper-medium-id) – fine-tuned khusus Indo.")
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            audio_input = gr.Audio(
+                sources=["microphone", "upload"],
+                type="filepath",
+                label="Rekam atau Upload Audio"
+            )
+        with gr.Column(scale=2):
+            text_output = gr.Textbox(label="Hasil Transkripsi", lines=10, placeholder="Hasil akan muncul di sini...")
+
+    btn = gr.Button("Transkripsi Sekarang!", variant="primary", size="lg")
+    btn.click(fn=transcribe, inputs=audio_input, outputs=text_output)
+
+    gr.Markdown("### Tips biar akurat:")
+    gr.Markdown("- Audio pendek (<60 detik) lebih cepat & bagus hasilnya.")
+    gr.Markdown("- Bicara jelas, coba contoh: 'Halo, apa kabar? Hari ini saya mau ke pasar beli sayuran segar.'")
+    gr.Markdown("- Kalau Space lambat, tunggu build selesai atau upgrade ke ZeroGPU (gratis).")
+
+demo.launch()