Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained sentiment analysis model
+model_name = "distilbert-base-uncased-finetuned-sst-2-english"
+sentiment_model = pipeline("text-classification", model=model_name)
+
+# Define the function to analyze sentiment
+def analyze_sentiment(input_text):
+    result = sentiment_model(input_text)[0]
+    label = result["label"]
+    score = result["score"]
+    return f"Sentiment: {label}, Confidence: {score:.2f}"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs="text",
+    outputs="text",
+    title="Sentiment Analysis App",
+    description="Enter a sentence to analyze its sentiment (Positive or Negative).",
+)
+
+# Launch the app
+interface.launch()