Delete src/audioProcessing.py

src/audioProcessing.py

@@ -1,57 +0,0 @@
-import os
-import tempfile
-import requests
-import json
-import uuid
-from typing import Tuple, Optional, Dict, Any
-
-def transcribe_audio(audio_file, api_key, model_id="scribe_v1"):
-    if not api_key:
-        return {"error": "Please provide an API key"}
-    url = "https://api.elevenlabs.io/v1/speech-to-text"
-    headers = {
-        "xi-api-key": api_key
-    }
-    files = {
-        "file": open(audio_file, "rb"),
-        "model_id": (None, model_id)
-    }
-    try:
-        response = requests.post(url, headers=headers, files=files)
-        response.raise_for_status()
-        result = response.json()
-        return result
-    except requests.exceptions.RequestException as e:
-        return {"error": f"API request failed: {str(e)}"}
-    except json.JSONDecodeError:
-        return {"error": "Failed to parse API response"}
-    finally:
-        files["file"].close()
-
-def save_transcription(transcription):
-    if "error" in transcription:
-        return None, transcription["error"]
-    transcript_filename = f"transcription_{uuid.uuid4().hex[:8]}.txt"
-    try:
-        with open(transcript_filename, "w", encoding="utf-8") as f:
-            f.write(transcription.get('text', 'No text found'))
-        return transcript_filename, "Transcription saved as text file"
-    except Exception as e:
-        return None, f"Error saving transcription: {str(e)}"
-
-def process_audio_file(audio_file, elevenlabs_api_key, model_id="scribe_v1") -> Tuple[str, str, str]:
-    if not elevenlabs_api_key:
-        return None, "ElevenLabs API key is required for transcription", None
-    
-    transcription_result = transcribe_audio(audio_file, elevenlabs_api_key, model_id)
-    
-    if "error" in transcription_result:
-        return None, transcription_result["error"], None
-    
-    transcript_text = transcription_result.get('text', '')
-    transcript_path = tempfile.mktemp(suffix='.txt')
-    
-    with open(transcript_path, 'w', encoding='utf-8') as transcript_file:
-        transcript_file.write(transcript_text)
-    
-    return transcript_path, f"Transcription completed successfully. Length: {len(transcript_text)} characters.", transcript_text