app.py

import gradio as gr
from gtts import gTTS
import time
import difflib
import tempfile
import os
import speech_recognition as sr
from faster_whisper import WhisperModel

# Function to play the text (optional)
def play_text(text):
    tts = gTTS(text=text, lang='hi', slow=False)
    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
    tts.save(temp_file.name)
    os.system(f"start {temp_file.name}")  # Windows
    return "✅ Text is being read out. Please listen and read it yourself."

# Load model once (outside function for efficiency)
model = WhisperModel("small", compute_type="float32")  # Or "medium" for better accuracy

def transcribe_audio(audio, original_text):
    try:
        # Run inference
        segments, info = model.transcribe(audio, language='hi')
        
        transcription = " ".join([segment.text for segment in segments])

        # Clean and split the text better
        import re
        original_words = re.findall(r'\w+', original_text.strip())
        transcribed_words = re.findall(r'\w+', transcription.strip())
        
        matcher = difflib.SequenceMatcher(None, original_words, transcribed_words)
        accuracy = round(matcher.ratio() * 100, 2)

        # Speaking speed (approximate)
        speed = round(len(transcribed_words) / info.duration, 2)

        result = {
            "📝 Transcribed Text": transcription,
            "🎯 Accuracy (%)": accuracy,
            "⏱️ Speaking Speed (words/sec)": speed
        }
        return result
    except Exception as e:
        return {"error": str(e)}


# Gradio App
with gr.Blocks() as app:
    gr.Markdown("## 🗣️ Hindi Reading & Pronunciation Practice App")
    
    with gr.Row():
        input_text = gr.Textbox(label="Paste Hindi Text Here", placeholder="यहाँ हिंदी टेक्स्ट लिखें...")
        play_button = gr.Button("🔊 Listen to Text")

    play_button.click(play_text, inputs=[input_text], outputs=[])

    gr.Markdown("### 🎤 Now upload or record yourself reading the text aloud below:")
    audio_input = gr.Audio(type="filepath", label="Upload or Record Your Voice")
    
    submit_button = gr.Button("✅ Submit Recording for Checking")
    
    output = gr.JSON(label="Results")
    
    submit_button.click(transcribe_audio, inputs=[audio_input, input_text], outputs=[output])

# Launch the app
app.launch()