Create app.py

app.py

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+from fastai.text.all import*
+import gradio as gr
+
+learn = load_learner('nlp_model.pkl')
+
+labels = learn.dls.vocab
+
+examples = ["I can't believe you lied to me again! This is unacceptable!",
+            "Got a surprise gift today, feeling overjoyed!"]
+
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+def classify_text(text):
+    pred,pred_idx,probs = learn.predict(text)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+interface = gr.Interface(fn=classify_text,
+                        inputs = gr.inputs.Texbox(placeholder="Enter Text here", label='Input text',lines=5)),
+                        outputs=gr.outputs.Label(num_top_classes=4, label='Emotion inthe Text'),
+                        verbose=True,
+                        title="Emotion Classifier",
+                        theme='soft')
+
+interface.launch()
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