Delete utils.py

utils.py

@@ -1,96 +0,0 @@
-import os
-from uuid import uuid4
-import edge_tts
-from groq import Groq
-from dotenv import load_dotenv
-
-load_dotenv()
-
-client = Groq()
-
-# ==================================================
-# 🎙️ TEXT TO SPEECH (FIXED VOICE)
-# ==================================================
-
-DEFAULT_VOICE = "en-US-MichelleNeural"
-
-async def TTS(
-    text: str,
-    output_dir: str = "tts_outputs",
-    rate: str = "+0%",
-    pitch: str = "+0Hz"
-) -> str:
-
-    if not text.strip():
-        raise ValueError("Empty text")
-
-    os.makedirs(output_dir, exist_ok=True)
-
-    filename = f"{uuid4().hex}.mp3"
-    output_path = os.path.join(output_dir, filename)
-
-    communicate = edge_tts.Communicate(
-        text=text,
-        voice=DEFAULT_VOICE,
-        rate=rate,
-        pitch=pitch
-    )
-
-    await communicate.save(output_path)
-    return output_path
-
-
-# ==================================================
-# 🎧 SPEECH TO TEXT
-# ==================================================
-
-async def STT(audio_file):
-    os.makedirs("uploads", exist_ok=True)
-    file_path = f"uploads/{uuid4().hex}.wav"
-
-    with open(file_path, "wb") as f:
-        f.write(await audio_file.read())
-
-    with open(file_path, "rb") as f:
-        transcription = client.audio.transcriptions.create(
-            file=f,
-            model="whisper-large-v3-turbo",
-            response_format="verbose_json",
-            temperature=0.0
-        )
-
-    return {
-        "text": transcription.text,
-        "segments": transcription.segments,
-        "language": transcription.language
-    }
-
-
-# ==================================================
-# 🎧 SPEECH TO TEXT 2
-# ==================================================
-
-async def TTS2(
-    text: str,
-    output_dir: str = "tts_outputs",
-    voice: str = "austin",
-    model: str = "canopylabs/orpheus-v1-english"
-) -> str:
-    if not text.strip():
-        raise ValueError("Text cannot be empty")
-
-    os.makedirs(output_dir, exist_ok=True)
-
-    filename = f"{uuid4().hex}.wav"
-    output_path = os.path.join(output_dir, filename)
-
-    response = client.audio.speech.create(
-        model=model,
-        voice=voice,
-        input=text,
-        response_format="wav"
-    )
-
-    response.stream_to_file(output_path)
-
-    return output_path