Update app.py

app.py

@@ -14,38 +14,39 @@ def play_text(text):
     os.system(f"start {temp_file.name}")  # Windows
     return "✅ Text is being read out. Please listen and read it yourself."
 
-# Function to transcribe user's audio
 def transcribe_audio(audio, original_text):
     recognizer = sr.Recognizer()
-    with sr.AudioFile(audio) as source:
-        audio_data = recognizer.record(source)
     try:
-        start_time = time.time()
-        # Using Google Speech Recognition (supports Hindi)
+        with sr.AudioFile(audio) as source:
+            audio_data = recognizer.record(source)
+        
+        # Try chunking if needed
         transcription = recognizer.recognize_google(audio_data, language="hi-IN")
-        end_time = time.time()
         
-        # Calculate Accuracy
-        original_words = original_text.strip().split()
-        transcribed_words = transcription.strip().split()
+        # Clean and split the text better (remove punctuations etc.)
+        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)
         
-        # Calculate speed
-        duration = end_time - start_time  # time to process (not speaking time)
-        # Better: estimate speaking time from audio length if needed (advanced)
-        
-        speed = round(len(transcribed_words) / duration, 2)  # words per second
-        
+        speed = round(len(transcribed_words) / (len(audio_data.frame_data) / audio_data.sample_rate), 2)
+
         result = {
             "📝 Transcribed Text": transcription,
             "🎯 Accuracy (%)": accuracy,
             "⏱️ Speaking Speed (words/sec)": speed
         }
         return result
+    except sr.UnknownValueError:
+        return {"error": "Could not understand audio"}
+    except sr.RequestError as e:
+        return {"error": f"Request error: {e}"}
     except Exception as e:
         return {"error": str(e)}
 
+
 # Gradio App
 with gr.Blocks() as app:
     gr.Markdown("## 🗣️ Hindi Reading & Pronunciation Practice App")