Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import pipeline
+
+# Replace 'bert-base-uncased' with the name of the model you want to use
+sentiment = pipeline("sentiment-analysis", model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
+
+def get_sentiment(input_text):
+    result=sentiment(input_text)
+    if result[0]['label']=="positive":
+        face = "\U0001f642"
+    elif result[0]['label']=="negative":
+        face = "\U0001f641"
+    else:
+        face = "\U0001f610"
+    return (result,face)
+
+iface = gr.Interface(fn=get_sentiment, inputs="text", outputs=['text','text'], title='Financial Sentiment Analysis')
+
+iface.launch(inline=False)