Update app.py

app.py

@@ -545,18 +545,21 @@ def update_speed(new_speed):
 
 with gr.Blocks() as app_credits:
     gr.Markdown("""
-# Credits
+    # Credits
+    * [mrfakename](https://github.com/fakerybakery) for the original [online demo](https://huggingface.co/spaces/mrfakename/E2-F5-TTS)
+    * [RootingInLoad](https://github.com/RootingInLoad) for the podcast generation
+    * [jpgallegoar](https://github.com/jpgallegoar) for multiple speech-type generation
+    """)
 
-* [mrfakename](https://github.com/fakerybakery) for the original [online demo](https://huggingface.co/spaces/mrfakename/E2-F5-TTS)
-* [RootingInLoad](https://github.com/RootingInLoad) for the podcast generation
-* [jpgallegoar](https://github.com/jpgallegoar) for multiple speech-type generation
-""")
 with gr.Blocks() as app_tts:
     gr.Markdown("# Batched TTS")
     ref_audio_input = gr.Audio(label="Reference Audio", type="filepath")
     gen_text_input = gr.Textbox(label="Text to Generate", lines=10)
     model_choice = gr.Radio(
-        choices=["English","Polish","Deutsch"], label="Choose TTS Model", value="English"
+        choices=["English", "Polish", "Deutsch"], label="Choose TTS Model", value="English"
+    )
+    language_choice = gr.Dropdown(
+        choices=["pl", "de", "en-us", "en-gb", "uk", "ru"], label="Choose Language", value="en-gb"
     )
     generate_btn = gr.Button("Synthesize", variant="primary")
     with gr.Accordion("Advanced Settings", open=False):
@@ -574,7 +577,7 @@ with gr.Blocks() as app_tts:
             label="Speed",
             minimum=0.3,
             maximum=2.0,
-            value=speed,
+            value=1.0,  # Assuming a default speed value
             step=0.1,
             info="Adjust the speed of the audio.",
         )
@@ -600,11 +603,10 @@ with gr.Blocks() as app_tts:
             model_choice,
             remove_silence,
             cross_fade_duration_slider,
-            language='en-gb',
+            language_choice,
         ],
         outputs=[audio_output, spectrogram_output],
     )
-    
 
 def parse_emotional_text(gen_text):
     # Pattern to find (Emotion)