Delete main.py

main.py

@@ -1,42 +0,0 @@
-
-import speech_recognition as sr
-from transformers import pipeline
-import edge_tts
-import asyncio
-
-# Load Whisper model
-asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
-
-# Load translation model (Yoruba → English)
-from transformers import MarianMTModel, MarianTokenizer
-mt_model_name = "Helsinki-NLP/opus-mt-yo-en"
-tokenizer = MarianTokenizer.from_pretrained(mt_model_name)
-model = MarianMTModel.from_pretrained(mt_model_name)
-
-# TTS
-async def speak(text):
-    communicate = edge_tts.Communicate(text, "en-US-GuyNeural")
-    await communicate.save("output.mp3")
-
-def translate_text(text):
-    inputs = tokenizer(text, return_tensors="pt", padding=True)
-    translated = model.generate(**inputs)
-    return tokenizer.decode(translated[0], skip_special_tokens=True)
-
-# Real-time mic input
-recognizer = sr.Recognizer()
-with sr.Microphone() as source:
-    print("Speak now...")
-    audio = recognizer.listen(source)
-    print("Processing...")
-
-    # Speech to Text
-    result = asr(audio.get_wav_data())["text"]
-    print("Transcribed:", result)
-
-    # Translate
-    translation = translate_text(result)
-    print("Translated:", translation)
-
-    # Speak
-    asyncio.run(speak(translation))