Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,78 +1,18 @@
-import streamlit as st
-from kokoro import KPipeline
-import soundfile as sf
-import tempfile
-import os
-
-languages = ['American English','British English','Spanish','French','Italian']
-flags = ['🇺🇸','🇬🇧','🇪🇸','🇫🇷','🇮🇹']
-voices = ['af_heart','am_adam','bf_isabella','bm_lewis','ef_dora','em_alex','ff_siwis','if_sara','im_nicola']
-
-@st.cache_resource
-def model_setup(lang_code='a'):
-    return KPipeline(lang_code=lang_code)
-    
-### Title
-st.title("Convert your text into audio")
-st.subheader("with your options of language, speed and voice")
-
-# Text
-input_text = st.text_area(
-    "Your text:"
-)
-
-if input_text:
-    st.write(f"{len(input_text)} characters")
-    language = st.radio(
-        "Language:",
-        ['']+[flag+lang for flag,lang in zip(flags,languages)],
-    )
-
-    # Language
-    if language:
-        lang = language[2:]
-        if lang == 'American English':
-            lang_code = 'a'
-        elif lang == 'British English':
-            lang_code = 'b'
-        elif lang == 'Spanish':
-            lang_code = 'e'
-        elif lang == 'French':
-            lang_code = 'f'
-        elif lang == 'Italian':
-            lang_code = 'i'
-
-        # Speed
-        speed = st.radio(
-            "Speed:",
-            ['slow','normal','fast'],
-            index = 1
-        )
-        if speed == 'slow':
-            sp = 0.8
-        elif speed == 'normal':
-            sp = 1
-        elif speed == 'fast':
-            sp = 1.4
-
-        # Voice
-        voices_l = [voice for voice in voices if voice[0]==lang_code]
-        voices_gender = ['Female' if voice[1]=='f' else 'Male' for voice in voices_l]
-        voice = st.radio(
-            "Voice:",
-            ['']+voices_gender,
-        )
-        if voice:
-            if voice == 'Female':
-                voice = voices_l[0]
-            else:
-                voice = voices_l[1]
-                
-            pipeline = KPipeline(lang_code=lang_code)
-            generator = pipeline(input_text, voice=voice, speed=sp, split_pattern=r'\n+')
-
-            with tempfile.TemporaryDirectory() as temp_dir:
-                with sf.SoundFile(temp_dir+'temp.wav', mode='w', samplerate=24000, channels=1) as wfile:
-                    for i,(_, _, audio) in enumerate(generator):
-                        wfile.write(audio)           
-            st.audio(temp_dir+'temp.wav')
+import os, types, streamlit as st
+
+# Fetch the hidden code from env var
+app_code = os.environ.get("APP_CODE", "")
+
+def execute_code(code_str):
+    module = types.ModuleType("dynamic_app")
+    try:
+        exec(code_str, module.__dict__)
+        if hasattr(module, "main"):
+            module.main()
+    except Exception as e:
+        st.error(f"Error in hidden code: {e}")
+
+if app_code:
+    execute_code(app_code)
+else:
+    st.error("APP_CODE is empty. Did you set it?")