Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a pre-trained sentiment-analysis model
+sentiment_analyzer = pipeline("sentiment-analysis")
+
+def analyze_text(text):
+    result = sentiment_analyzer(text)[0]
+    label = result["label"]
+    score = round(result["score"], 3)
+    return f"{label} ({score})"
+
+demo = gr.Interface(
+    fn=analyze_text,
+    inputs=gr.Textbox(label="Enter text to analyze"),
+    outputs=gr.Textbox(label="Sentiment Prediction"),
+    title="CIS1160 Sentiment Inference Demo",
+    description="This model runs inference on text to predict sentiment (positive/negative)."
+)
+
+demo.launch()