updated sharing

app.py

@@ -1,24 +1,24 @@
-import gradio as gr
-from transformers import pipeline
-
-bert_model = pipeline("sentiment-analysis")
-distilbert_model = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
-
-def compare_models(text):
-    result1 = bert_model(text)[0]
-    result2 = distilbert_model(text)[0]
-
-    return(
-        f"BERT -> {result1['label']} {round(result1['score'],2)}\n"
-        f"DistilBERT -> {result2['label']} {round(result2['score'],2)}"
-    )
-
-iface = gr.Interface(
-    fn=compare_models,
-    inputs=gr.Textbox(label="Enter Text"),
-    outputs="text",
-    title="NLP Model Comparision",
-    description="Compare predictions of multiple NLP models"
-)
-
-iface.launch()
+import gradio as gr
+from transformers import pipeline
+
+bert_model = pipeline("sentiment-analysis")
+distilbert_model = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+def compare_models(text):
+    result1 = bert_model(text)[0]
+    result2 = distilbert_model(text)[0]
+
+    return(
+        f"BERT -> {result1['label']} {round(result1['score'],2)}\n"
+        f"DistilBERT -> {result2['label']} {round(result2['score'],2)}"
+    )
+
+iface = gr.Interface(
+    fn=compare_models,
+    inputs=gr.Textbox(label="Enter Text"),
+    outputs="text",
+    title="NLP Model Comparision",
+    description="Compare predictions of multiple NLP models"
+)
+
+iface.launch(share=True)