Update app.py

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load a sentiment analysis model (works on free CPU)
+analyzer = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+def check_mood(text):
+    if not text or not text.strip():
+        return "Paste some text above first!"
+
+    result = analyzer(text)[0]
+    label = result["label"]
+    score = result["score"]
+
+    if label == "POSITIVE":
+        emoji = "😊" if score > 0.9 else "🙂"
+    else:
+        emoji = "😢" if score > 0.9 else "😐"
+
+    return f"{emoji} {label}\n\nConfidence: {score:.0%}"
+
+demo = gr.Interface(
+    fn=check_mood,
+    inputs=gr.Textbox(lines=8, placeholder="Paste any text here — a song lyric, a diary entry, a text from a friend..."),
+    outputs=gr.Textbox(label="Mood Reading"),
+    title="Mood Meter",
+    description="Paste any text and this AI will tell you whether it feels POSITIVE or NEGATIVE — and how confident it is. Does the model agree with how YOU feel about the text?",
+    examples=[
+        ["I can't believe how lucky I am to have friends like you. Every day feels like an adventure and I wouldn't trade it for anything in the world."],
+        ["I don't know why I even bother anymore. Nothing I do seems to matter and nobody notices when I try my hardest."],
+        ["Dear future me, I hope you figured it out. I hope you're not still lying awake at 2am wondering if you made the right choice."],
+        ["Walking into school on the first day felt like stepping onto another planet. Everyone already knew each other and I just stood there holding my backpack straps."],
+    ],
+)
+
+demo.launch()