Create app.py

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+from txtemo import predict
+
+def analyze_text(text):
+    if not text.strip():
+        return "Please enter some text.", ""
+    
+    label, score = predict(text)
+    return f"Prediction: {label}", f"Confidence Score: {score:.2f}"
+
+# Gradio UI
+with gr.Blocks(title="txtemo - Emotion & Sentiment Detector") as demo:
+    gr.Markdown(
+        """
+        # ✨ txtemo — Emotion & Sentiment Detection
+        Enter any text below to detect its emotion/sentiment using a quantized RoBERTa ONNX model.
+        """
+    )
+
+    with gr.Row():
+        input_text = gr.Textbox(
+            label="Enter Text",
+            placeholder="Type your sentence here...",
+            lines=3
+        )
+
+    with gr.Row():
+        analyze_btn = gr.Button("Analyze", variant="primary")
+
+    with gr.Row():
+        output_label = gr.Textbox(label="Prediction")
+        output_score = gr.Textbox(label="Confidence Score")
+
+    analyze_btn.click(analyze_text, inputs=input_text, outputs=[output_label, output_score])
+
+demo.launch()