app.py

import gradio as gr
from transformers import pipeline

# Whisper لتحويل الصوت إلى نص
whisper = pipeline(
    "automatic-speech-recognition",
    model="openai/whisper-base"
)

# موديلك
classifier = pipeline(
    "text-classification",
    model="MennatullahHany/Abert"
)

label_map = {
    "LABEL_0": "Safe",
    "LABEL_1": "Danger"
}

def predict(audio):

    # تحويل الصوت إلى نص
    transcription = whisper(audio)["text"]

    # تشغيل الموديل
    result = classifier(transcription)[0]

    label = label_map[result["label"]]

    return {
        "text":transcription,
        "result": label,
        "confidence": round(float(result["score"]), 4)
    }

demo = gr.Interface(
    fn=predict,
    inputs=gr.Audio(type="filepath", label="Upload Audio"),
    outputs=gr.JSON(label="Prediction"),
    title="Voice Emotion Detection",
    description="Upload an audio file to detect whether it is Safe or Danger."
)

demo.launch()