Create app.py

app.py

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+
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+import torch
+import gradio as gr
+
+
+sentiment_Analyzer = pipeline("text-classification", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
+
+
+
+def analyzer(text):
+    output = (sentiment_Analyzer(text))[0]
+    label = output['label']
+    score = output['score']
+    return label,score
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=analyzer,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs=[
+        gr.Textbox(label="Sentiment Label", placeholder="Label will appear here..."),
+        gr.Number(label="Confidence Score")
+    ],
+    title="Sentiment Analyzer",
+    description="Enter text to analyze its sentiment (positive/negative) and get the confidence score."
+)
+
+# Launch the Gradio interface
+interface.launch()