Update app.py

app.py

@@ -1,5 +1,14 @@
 #!pip install -q transformers datasets torch gradio console_logging numpy
 
+import torch
+from datasets import load_dataset
+from console_logging.console import Console
+import numpy as np
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+from transformers import TrainingArguments, Trainer
+from sklearn.metrics import f1_score, roc_auc_score, accuracy_score
+from transformers import EvalPrediction
+import torch
 import gradio as gr
 
 title = 'Text market sentiment'
@@ -8,21 +17,15 @@ model = torch.load("huggingface/Berbex/Model")
 
 inp = [gr.Textbox(label='API Key', placeholder="What is your API Key?"), gr.Textbox(label='Audio File URL', placeholder="Audio file URL?")]
 out = gr.Textbox(label='Output')
+text_button = gr.Button("Flip")
+text_button.click(audio_to_text, inputs=inp, outputs=out)
 
 interface = gr.Interface.load(input=inp,output=out,
 title = title,
 theme = "peach",
 examples = [[text_]]).launch()
 
-import torch
-from datasets import load_dataset
-from console_logging.console import Console
-import numpy as np
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
-from transformers import TrainingArguments, Trainer
-from sklearn.metrics import f1_score, roc_auc_score, accuracy_score
-from transformers import EvalPrediction
-import torch
+
 console = Console()
 
 dataset = load_dataset("zeroshot/twitter-financial-news-sentiment", )