Create app.y

app.y

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+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis pipeline
+pipe = pipeline("text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
+
+def analyze_sentiment(text):
+    # Analyze sentiment using the pipeline
+    result = pipe(text)[0]
+    label = result['label']
+    score = result['score']
+    return f"Sentiment: {label}, Score: {score}"
+
+# Create the Gradio interface
+text_input = gr.inputs.Textbox(label="Enter Text")
+output_text = gr.outputs.Textbox(label="Sentiment Analysis Result")
+
+gr.Interface(fn=analyze_sentiment, inputs=text_input, outputs=output_text).launch()