Update app.py

app.py

@@ -3,7 +3,6 @@ from kokoro import KPipeline
 import soundfile as sf
 import io
 import os
-from langdetect import detect  # Language detection library
 
 # Install espeak-ng if not installed
 if not os.system("which espeak-ng"):
@@ -14,7 +13,6 @@ else:
 
 # Streamlit App UI Setup
 st.title("Text-to-Speech with Kokoro")
-
 # Expander section to display information in multiple languages
 with st.expander("Sample Prompt!"):
     st.markdown("""
@@ -27,7 +25,6 @@ with st.expander("Sample Prompt!"):
     - 我叫苏赫德夫。(In Chinese)
     - 私の名前はスクデフです。(In Japanese)
     """)
-
 st.sidebar.header("Configuration & Instructions")
 
 # Sidebar Instructions
@@ -64,35 +61,9 @@ st.sidebar.markdown("""
         ### Courtesy: [Kokoro](https://huggingface.co/hexgrad/Kokoro-82M?fbclid=IwY2xjawIKqzxleHRuA2FlbQIxMAABHaf9GldgYOzXktNuoRtNKqd-aL7r-S7zPGyC8ttYOiG2zYfQqLyV4Qm75A_aem_0wKLC2C87ZZ2F04WjPJbtA)
     """)
 
-# Language Detection Function
-def detect_language(text):
-    try:
-        lang = detect(text)
-        return lang
-    except Exception as e:
-        st.error("Error detecting language: " + str(e))
-        return None
-
 # User input for text, language, and voice settings
 input_text = st.text_area("Enter your text here", placeholder="The sky above the port was the color of television...")
-auto_detect_lang = detect_language(input_text)
-
-# Set detected language to the selectbox (if detected)
-if auto_detect_lang:
-    lang_map = {
-        'en': 'a',  # American English
-        'es': 'e',  # Spanish
-        'fr': 'f',  # French
-        'hi': 'h',  # Hindi
-        'it': 'i',  # Italian
-        'pt': 'p',  # Portuguese
-        'zh': 'z',  # Chinese
-        'ja': 'j'   # Japanese
-    }
-    lang_code = lang_map.get(auto_detect_lang, 'a')  # Default to English if not in map
-else:
-    lang_code = st.selectbox("Select Language", ['a', 'b', 'e', 'f', 'h', 'i', 'p', 'z', 'j'])
-
+lang_code = st.selectbox("Select Language", ['a', 'b', 'e', 'f', 'h', 'i', 'p', 'z', 'j'])
 voice = st.selectbox("Select Voice", ['af_alloy', 'af_aoede', 'af_bella', 'af_heart', 'af_jessica', 'af_kore', 'af_nicole', 'af_nova', 'af_river', 'af_sarah', 'af_sky', 
  'am_adam', 'am_echo', 'am_eric', 'am_fenrir', 'am_liam', 'am_michael', 'am_onyx', 'am_puck', 'am_santa', 
  'bf_alice', 'bf_emma', 'bf_isabella', 'bf_lily', 
@@ -109,8 +80,8 @@ voice = st.selectbox("Select Voice", ['af_alloy', 'af_aoede', 'af_bella', 'af_he
  'pf_dora', 
  'pm_alex', 'pm_santa', 
  'zf_xiaobei', 'zf_xiaoni', 'zf_xiaoxiao', 'zf_xiaoyi', 
- 'zm_yunjian', 'zm_yunxi', 'zm_yunxia', 'zm_yunyang'])
-
+ 'zm_yunjian', 'zm_yunxi', 'zm_yunxia', 'zm_yunyang']
+)  # Change voice options as per model
 speed = st.slider("Speed", min_value=0.5, max_value=2.0, value=1.0, step=0.1)
 
 # Initialize the TTS pipeline with user-selected language
@@ -142,4 +113,4 @@ if st.button('Generate Audio'):
         data=audio_buffer,
         file_name="generated_speech.wav",
         mime="audio/wav"
-    )
+    )