Update app.py

app.py

@@ -1,53 +1,32 @@
 import gradio as gr
-import os
+from gtts import gTTS
 import tempfile
-from voice_cloning.generation import speech_generator, play_sound, save_sound
 
-def clone_voice(voice_sample, text, voice_type):
+def text_to_speech(text, voice_sample=None):
     """
-    Clone a voice based on the provided reference audio and text.
-    - voice_sample: the file path of the reference sound (supported formats: wav, etc.)
-    - text: the speech text to synthesize
-    - voice_type: a string to choose between "indian" or "western"
-    
-    The function uses the speech_generator to create the audio, applies noise reduction,
-    and returns the saved file path.
+    Generate Hindi speech from input text using gTTS.
+    Note: The voice_sample is accepted but not used, since voice cloning for Hindi is not supported.
     """
-    # If needed, you could use a temporary file for the generated audio.
-    # Here, we let the functions manage file names.
-    generated_wav = speech_generator(
-        voice_type=voice_type,
-        sound_path=voice_sample, 
-        speech_text=text
-    )
-    
-    # Optionally play the sound (for local testing, not used by Gradio)
-    # play_sound(generated_wav)
-    
-    # Save the output with noise reduction enabled.
-    # The save_sound function is expected to save the file with the given filename.
-    # We'll use a temporary directory to store the output.
-    temp_dir = tempfile.gettempdir()
-    output_filename = os.path.join(temp_dir, "voice_output.wav")
-    
-    save_sound(generated_wav, filename=output_filename, noise_reduction=True)
+    # Generate Hindi speech using gTTS (lang='hi')
+    tts = gTTS(text=text, lang='hi')
     
-    # Return the file path so that Gradio can play the audio.
-    return output_filename
+    # Save to a temporary MP3 file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as fp:
+        tts.save(fp.name)
+        audio_file = fp.name
+    return audio_file
 
-# Create the Gradio interface.
 iface = gr.Interface(
-    fn=clone_voice,
+    fn=text_to_speech,
     inputs=[
-        gr.Audio(type="filepath", label="Reference Voice Sample"),
-        gr.Textbox(lines=3, placeholder="Enter speech text here...", label="Speech Text"),
-        gr.Dropdown(choices=["indian", "western"], value="western", label="Voice Type")
+        gr.Textbox(lines=5, placeholder="हिंदी में टेक्स्ट दर्ज करें...", label="Text"),
+        gr.Audio(type="filepath", label="Voice Sample (ignored)")
     ],
     outputs=gr.Audio(type="filepath", label="Generated Speech"),
-    title="Voice Cloning TTS with Noise Reduction",
+    title="Hindi Text-to-Speech",
     description=(
-        "Upload a reference voice sample and provide text to clone the voice and generate speech. "
-        "Noise reduction is applied to the output."
+        "Generate Hindi speech from text using gTTS. Note: "
+        "Voice cloning is not available for Hindi; the voice sample input is ignored."
     )
 )