Create app.py

app.py

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+import torch
+from transformers import pipeline
+import gradio as gr
+
+# Load the sentiment analysis pipeline with a specified model
+sentiment_analysis = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+# Define a simple Gradio interface function
+def simple_sentiment_analysis(text):
+    sentiment = sentiment_analysis(text)
+    return sentiment[0]['label']
+
+# Set up Gradio Interface
+iface = gr.Interface(
+    fn=simple_sentiment_analysis,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs=gr.Label(label="Sentiment"),
+    title="Sentiment Analysis",
+    description="Enter text to analyze its sentiment."
+)
+
+# Launch the interface with share=True for public access
+iface.launch(share=True, debug=True)