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()