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backend/app/services/processors/audio_processor.py

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+from __future__ import annotations
+
+from pathlib import Path
+
+from backend.app.services.markdown_builder import title_from_path
+from backend.app.services.processors.base import ProcessedContent
+from backend.app.services.providers.deepgram_client import DeepgramClient
+
+
+class AudioProcessor:
+    def process(self, path: Path) -> ProcessedContent:
+        client = DeepgramClient()
+        data = client.transcribe_file(path)
+        transcript, confidence = client.transcript_from_response(data)
+        confidence_line = f"\n\n_Confianza estimada: {confidence * 100:.1f}%_" if isinstance(confidence, (int, float)) else ""
+        return ProcessedContent(
+            title=f"Transcripcion {title_from_path(path)}",
+            body=f"## Transcripcion\n\n{transcript}{confidence_line}",
+            processor="deepgram",
+        )