Update app.py

app.py

@@ -1,12 +1,19 @@
-import gradio as gr
-from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
-
-model = AutoModelForSequenceClassification.from_pretrained("savasy/bert-base-turkish-sentiment-cased")
-tokenizer = AutoTokenizer.from_pretrained("savasy/bert-base-turkish-sentiment-cased")
-
-def greet(text):
-    pipe = pipeline("sentiment-analysis", tokenizer=tokenizer, model=model)
-    return pipe(text)[0]['label']
-    
-iface = gr.Interface(fn=greet, inputs=gr.inputs.Textbox(placeholder="Lütfen Cümle Giriniz...", lines=5), outputs="text")
-iface.launch(share=True)
+from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
+from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
+import IPython.display as ipd
+
+
+models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+    "facebook/tts_transformer-tr-cv7",
+    arg_overrides={"vocoder": "hifigan", "fp16": False}
+)
+model = models[0]
+TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
+generator = task.build_generator(model, cfg)
+
+text = "Merhaba, bu bir deneme çalışmasıdır."
+
+sample = TTSHubInterface.get_model_input(task, text)
+wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
+
+ipd.Audio(wav, rate=rate)