Create sentimental.py

sentimental.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load pre-trained model from Hugging Face
+classifier = pipeline('sentiment-analysis')
+
+def classify_text(text):
+    result = classifier(text)[0]
+    label = result['label']
+    score = result['score']
+    return f"{label} (confidence: {score:.2f})"
+
+# Create the Gradio interface
+iface = gr.Interface(fn=classify_text, inputs=["text"], outputs=["prediction"])
+
+# Launch the Gradio app
+iface.launch()