Update app.py

app.py

@@ -12,8 +12,47 @@ examples = [
     ["Hello this is a test run"]
 ]
 
-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-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,
     article=article,
     title=title,
-    description=description,
-    enable_queue=True).launch()
+    description=description).launch(enable_queue=True, cache_examples=True)