Update app.py

app.py

@@ -1,5 +1,3 @@
-import os
-os.system("pip install gradio==2.4.6")
 import gradio as gr
 
 title = "FastSpeech2"
@@ -12,47 +10,7 @@ examples = [
     ["Hello this is a test run"]
 ]
 
-io1 = gr.Interface.load("huggingface/facebook/fastspeech2-en-200_speaker-cv4")
-
-io2 = gr.Interface.load("huggingface/facebook/tts_transformer-en-200_speaker-cv4")
-
-io3 = gr.Interface.load("huggingface/facebook/tts_transformer-zh-cv7_css10")
-
-io4 = gr.Interface.load("huggingface/facebook/tts_transformer-fr-cv7_css10")
-
-io5 = gr.Interface.load("huggingface/facebook/tts_transformer-ru-cv7_css10")
-
-io6 = gr.Interface.load("huggingface/facebook/tts_transformer-tr-cv7")
-
-
-
-
-
-    
-def inference(text,model):
-   if model == "fastspeech2-en-200_speaker-cv4":
-        outtext = io1(text)
-   elif model == "tts_transformer-en-200_speaker-cv4":
-        outtext = io2(text)
-   elif model == "tts_transformer-zh-cv7_css10":
-        outtext = io3(text)
-   elif model == "tts_transformer-fr-cv7_css10":
-        outtext = io4(text)
-   elif model == "tts_transformer-fr-cv7_css10":
-        outtext = io4(text)
-   else:
-        outtext = io2(text)
-    else:
-        outtext = io2(text)
-   return outtext 
-
-
-gr.Interface(
-    inference, 
-    [gr.inputs.Textbox(label="Input",lines=5),gr.inputs.Dropdown(choices=["mt5-small-finetuned-arxiv-cs-finetuned-arxiv-cs-full","mT5_multilingual_XLSum"], type="value", default="mt5-small-finetuned-arxiv-cs-finetuned-arxiv-cs-full", label="model")
-], 
-    gr.outputs.Textbox(label="Output"),
-    examples=examples,
+gr.Interface.load("huggingface/facebook/fastspeech2-en-200_speaker-cv4", examples=examples,
     article=article,
     title=title,
-    description=description).launch(enable_queue=True, cache_examples=True)
+    description=description).launch(enable_queue=True)