Update app.py

app.py

@@ -30,6 +30,12 @@ def transcribe_audio(audio_path, original_text):
         if sample_rate != 16000:
             transform = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=16000)
             waveform = transform(waveform)
+
+        # --- Amplify voice intensity here ---
+        GAIN = 1.5  # You can adjust this value (1.0 = unchanged, 2.0 = double)
+        waveform = waveform * GAIN
+        waveform = torch.clamp(waveform, -1.0, 1.0)  # Avoid clipping/distortion
+
         input_values = processor(waveform.squeeze().numpy(), sampling_rate=16000, return_tensors="pt").input_values
         
         # 2. Transcribe with AI4Bharat model
@@ -57,6 +63,8 @@ def transcribe_audio(audio_path, original_text):
     except Exception as e:
         return {"error": str(e)}
 
+        return {"error": str(e)}
+
 with gr.Blocks() as app:
     gr.Markdown("## 🗣️ Hindi Reading & Pronunciation Practice App (AI4Bharat Model)")