Update app.py

app.py

@@ -9,7 +9,7 @@ import matplotlib.pyplot as plt
 
 from transformers import AutoTokenizer, AutoConfig, AutoModel, AutoModelForSequenceClassification
 
-
+"""
 description_sentence = "<h3>Demo EmotioNL</h3>\nThis demo allows you to analyse the emotion in a sentence."
 description_dataset = "<h3>Demo EmotioNL</h3>\nThis demo allows you to analyse the emotions in a dataset.\nThe data should be in tsv-format with two named columns: the first column (id) should contain the sentence IDs, and the second column (text) should contain the actual texts. Optionally, there is a third column named 'date', which specifies the date associated with the text (e.g., tweet date). This column is necessary when the options 'emotion distribution over time' and 'peaks' are selected."
 
@@ -102,4 +102,43 @@ iface_dataset = gr.Interface(
 
 iface = gr.TabbedInterface([iface_sentence, iface_dataset], ["Sentence", "Dataset"])
 
-iface.queue().launch()
+iface.queue().launch()
+"""
+
+def inference_sentence(text):
+    output = "This sentence will be processed:\n" + text
+    return output
+
+
+
+
+with gr.Blocks() as demo:
+    with gr.Tab("Sentence"):
+        gr.Markdown("""
+        # Demo EmotioNL
+        This demo allows you to analyse the emotion in a sentence.
+        """)
+        with gr.Row():
+            input = gr.Textbox(
+                    label="Enter a sentence",
+                    lines=1)
+            output = gr.Textbox()
+        with gr.Row():
+            send_btn = gr.Button("Send")
+        send_btn.click(fn=, inputs=input, outputs=output)
+    with gr.Tab("Dataset"):
+        gr.Markdown("""
+        # Demo EmotioNL
+        This demo allows you to analyse the emotion in a sentence.
+        """)
+        with gr.Row():
+            input = gr.Textbox(
+                    label="Enter a sentence",
+                    lines=1)
+            output = gr.Textbox()
+        with gr.Row():
+            send_btn = gr.Button("Send")
+        send_btn.click(fn=, inputs=input, outputs=output)
+
+demo.launch()
+