Update app.py

app.py

@@ -1,3 +1,5 @@
+import os
+os.system("pip install gradio==2.4.6")
 import gradio as gr
 
 title = "FastSpeech2"
@@ -7,10 +9,47 @@ description = "Gradio Demo for fairseq S^2: A Scalable and Integrable Speech Syn
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2109.06912' target='_blank'>fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit</a> | <a href='https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis' target='_blank'>Github Repo</a></p>"
 
 examples = [
-    ["Hello this is a test run"]
+    ["Hello this is a test run","fastspeech2-en-200_speaker-cv4"]
 ]
 
-gr.Interface.load("huggingface/facebook/fastspeech2-en-200_speaker-cv4", examples=examples,
+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-ru-cv7_css10":
+        outtext = io5(text)
+   else:
+        outtext = io6(text)
+   return outtext 
+
+
+gr.Interface(
+    inference, 
+    [gr.inputs.Textbox(label="Input",lines=5),gr.inputs.Dropdown(choices=["fastspeech2-en-200_speaker-cv4","tts_transformer-en-200_speaker-cv4","tts_transformer-zh-cv7_css10","tts_transformer-zh-cv7_css10","tts_transformer-fr-cv7_css10","tts_transformer-ru-cv7_css10"], type="value", default="fastspeech2-en-200_speaker-cv4", label="model")
+],
+    examples=examples,
     article=article,
     title=title,
-    description=description).launch(enable_queue=True)
+    description=description).launch(enable_queue=True, cache_examples=True)