Update app.py

app.py

@@ -1,22 +1,46 @@
 import gradio as gr
-import subprocess
-import piper
-import os
-
-def run_command(command):
-    try:
-        # Running the command and capturing the output
-        result = subprocess.run(command, shell=True, text=True, capture_output=True, check=True)
-        return result.stdout
-    except subprocess.CalledProcessError as e:
-        return e.stderr
+import wave
+import numpy as np
+from io import BytesIO
+from huggingface_hub import hf_hub_download
+from piper import PiperVoice  # Adjust import as per your project structure
 
+#file_path = hf_hub_download("rhasspy/piper-voices", "en_GB-alan-medium.onnx")
+
+def synthesize_speech(text):
+    # Load the PiperVoice model and configuration
+  #  model_path = "en_GB-alan-medium.onnx" # this is for loading local model
+  #  config_path = "en_GB-alan-medium.onnx.json" # for loading local json
+    model_path = hf_hub_download(repo_id="rhasspy/piper-voices", filename="en_GB-alan-medium.onnx")
+    config_path = hf_hub_download(repo_id="rhasspy/piper-voices", filename="en_GB-alan-medium.onnx.json")
+    voice = PiperVoice.load(model_path, config_path)
+
+    # Create an in-memory buffer for the WAV file
+    buffer = BytesIO()
+    with wave.open(buffer, 'wb') as wav_file:
+        wav_file.setframerate(voice.config.sample_rate)
+        wav_file.setsampwidth(2)  # 16-bit
+        wav_file.setnchannels(1)  # mono
+
+        # Synthesize speech
+        voice.synthesize(text, wav_file)
+
+    # Convert buffer to NumPy array for Gradio output
+    buffer.seek(0)
+    audio_data = np.frombuffer(buffer.read(), dtype=np.int16)
+
+    return audio_data.tobytes()
+
+# Create a Gradio interface with labels
 iface = gr.Interface(
-    fn=run_command,
-    inputs='text',
-    outputs='text',
-    title="CLI Interface",
-    description="Enter your command and see the output."
+    fn=synthesize_speech,
+    inputs=gr.Textbox(label="Input Text"),
+    outputs=[gr.Audio(label="Synthesized Speech")],
+    title="Text to Speech Synthesizer",
+    description="Enter text to synthesize it into speech using PiperVoice.",
+    allow_flagging="never"
+    
 )
 
+# Run the app
 iface.launch()