Add app.py: Sentiment analysis Gradio interface

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load a small sentiment analysis pipeline
+classifier = pipeline("sentiment-analysis")
+
+def analyze_sentiment(text):
+    result = classifier(text)[0]
+    label = result["label"]
+    score = result["score"]
+    return f"{label} ({score:.2f})"
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text here...", label="Input Text"),
+    outputs=gr.Textbox(label="Sentiment"),
+    title="Tiny AI Sentiment Analyzer",
+    description="Enter a text snippet and get its sentiment (positive/negative) using a small Hugging Face model."
+)
+
+if __name__ == "__main__":
+    iface.launch()