Delete app.py

app.py

@@ -1,28 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-
-pipe = pipeline("text-classification", model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
-
-def text_classification(prompt):
-    pro = pipe(prompt)
-    return pro
-
-
-title = "Enter your Prompt"
-description = """
-
-# This is Fine-tuned BERT based Model
-
-<img src = "https://upload.wikimedia.org/wikipedia/commons/2/2f/Google_2015_logo.svg" width=300px> 
-"""
-
-
-gr.Interface( fn = text_classification,
-             inputs = gr.Textbox(),
-             outputs= gr.Textbox() ,
-            title=title,
-            description=description,
-
-).launch()
-    
-