Update app.py

app.py

@@ -1,80 +1,74 @@
-import streamlit as st
-import pyttsx3
-from gtts import gTTS
-import os
-import librosa
-import soundfile as sf
-import time
-import numpy as np
-from io import BytesIO
-
-# Function to Convert Text to Speech
-def text_to_speech(text, engine='offline', gender='male'):
-    filename = f"audio_{int(time.time())}.wav"
-    if engine == 'offline':
-        tts_engine = pyttsx3.init()
-        tts_engine.setProperty('rate', 160)  # Adjust speed
-        tts_engine.setProperty('volume', 2.0)  # Max volume
-        voices = tts_engine.getProperty('voices')
-        
-        if gender == 'male':
-            tts_engine.setProperty('voice', voices[0].id)  # Male voice
-        else:
-            tts_engine.setProperty('voice', voices[1].id)  # Female voice
-        
-        tts_engine.save_to_file(text, filename)
-        tts_engine.runAndWait()
-    elif engine == 'online':
-        tts = gTTS(text=text, lang='en', slow=False)
-        filename = f"audio_{int(time.time())}.mp3"
-        tts.save(filename)
-    return filename
-
-# Function to Modify Voice Pitch
-def change_voice(input_file, gender="male"):
-    y, sr = librosa.load(input_file, sr=44100)
-    pitch_factor = -3 if gender == "male" else 5  # Adjust pitch naturally
-    y_shifted = librosa.effects.pitch_shift(y, n_steps=pitch_factor, sr=sr)
-    output_file = f"modified_{int(time.time())}.wav"
-    sf.write(output_file, y_shifted, sr)
-    return output_file
-
-# Streamlit UI
-st.set_page_config(page_title="🎤 Voice Generator App", layout="centered")
-st.title("🎤 AI-Powered Voice Generator")
-st.markdown("**Convert your text into speech with natural, clear voices!** 🎶")
-st.divider()
-
-st.subheader("Enter Your Text")
-text = st.text_area("📝 Type or paste your text below:")
-
-st.subheader("Choose Voice Engine")
-engine = st.radio("⚙️ Select a Text-to-Speech Engine:", 
-                  ["Offline (Fast, Customizable)", "Online (Natural, Requires Internet)"])
-engine_mode = "offline" if "Offline" in engine else "online"
-
-st.subheader("Select Voice Type")
-gender = st.radio("🎭 Choose Voice Gender:", ["Male", "Female"])
-
-if st.button("🎙️ Generate Voice"):
-    if text:
-        st.info("⏳ Processing your request... Please wait.")
-        audio_file = text_to_speech(text, engine_mode, gender.lower())
-        modified_audio = change_voice(audio_file, gender.lower())
-        
-        st.success("✅ Voice generated successfully!")
-        st.audio(modified_audio, format='audio/wav')
-        
-        with open(modified_audio, "rb") as file:
-            audio_bytes = file.read()
-        
-        st.download_button(label="⬇️ Download Audio", data=audio_bytes, 
-                           file_name=modified_audio, mime="audio/wav")
-    else:
-        st.warning("⚠️ Please enter text to generate voice.")
-
-st.markdown("---")
-st.caption("🔹 **Offline Mode** uses your system's built-in voices and works without the internet.")
-st.caption("🔹 **Online Mode** uses Google TTS for a more natural voice but requires an internet connection.")
-st.divider()
-st.caption("👻 So called Arman.")
+import streamlit as st
+import edge_tts
+import asyncio
+import librosa
+import soundfile as sf
+import time
+import numpy as np
+from io import BytesIO
+
+# Function to Convert Text to Speech with More Voice Options
+async def text_to_speech(text, voice="en-US-GuyNeural"):
+    filename = f"audio_{int(time.time())}.mp3"
+    
+    # Use Edge TTS to generate speech
+    communicate = edge_tts.Communicate(text, voice)
+    await communicate.save(filename)
+    
+    return filename
+
+# Function to Modify Voice Pitch
+def change_voice(input_file, gender="male"):
+    y, sr = librosa.load(input_file, sr=44100)
+    pitch_factor = -3 if gender == "male" else 5  # Adjust pitch naturally
+    y_shifted = librosa.effects.pitch_shift(y, n_steps=pitch_factor, sr=sr)
+    
+    output_file = f"modified_{int(time.time())}.wav"
+    sf.write(output_file, y_shifted, sr)
+    
+    return output_file
+
+# Streamlit UI
+st.set_page_config(page_title="🎤 Voice Generator App", layout="centered")
+st.title("🎤 AI-Powered Voice Generator")
+st.markdown("**Convert your text into speech with natural, clear voices!** 🎶")
+st.divider()
+
+# User Input for Text
+st.subheader("Enter Your Text")
+text = st.text_area("📝 Type or paste your text below:")
+
+# Select Voice Type
+st.subheader("Select Voice Type")
+voice_options = {
+    "Male (US)": "en-US-GuyNeural",
+    "Male (UK)": "en-GB-RyanNeural",
+    "Female (US)": "en-US-JennyNeural",
+    "Female (UK)": "en-GB-SoniaNeural"
+}
+selected_voice = st.selectbox("🎭 Choose a Voice:", list(voice_options.keys()))
+
+if st.button("🎙️ Generate Voice"):
+    if text:
+        st.info("⏳ Processing your request... Please wait.")
+        
+        # Generate Speech
+        audio_file = asyncio.run(text_to_speech(text, voice_options[selected_voice]))
+        
+        st.success("✅ Voice generated successfully!")
+        st.audio(audio_file, format='audio/mp3')
+
+        # Allow users to download the generated audio
+        with open(audio_file, "rb") as file:
+            audio_bytes = file.read()
+        
+        st.download_button(label="⬇️ Download Audio", data=audio_bytes, 
+                           file_name=audio_file, mime="audio/mp3")
+    else:
+        st.warning("⚠️ Please enter text to generate voice.")
+
+st.markdown("---")
+st.caption("🔹 **Supports high-quality male & female voices with different accents.**")
+st.caption("🔹 **Runs offline using Edge TTS for fast voice generation.**")
+st.divider()
+st.caption("👻 So called Arman.")