Update app.py

app.py

@@ -25,7 +25,7 @@ def classify_text(text, labels):
     return {label: float(f"{prob:.4f}") for label, prob in zip(results["labels"], results["scores"])}
 
 def translate_text(text):
-    return translation_pipeline(text)[0]['translation_text'] if text else "No translation available"
+    return translation_pipeline(text)[0]['translation_text'] if text else "No translation"
 
 def classify_topic(text):
     results = topic_classification_pipeline(text)
@@ -50,14 +50,14 @@ def multi_model_interaction(text):
 with gr.Blocks() as demo:
     with gr.Tab("Single Models"):
         with gr.Column():
-            gr.Markdown("### Question Answering")
+            gr.Markdown("### Question")
             context = gr.Textbox(label="Context")
             question = gr.Textbox(label="Question")
             answer_output = gr.Text(label="Answer")
             gr.Button("Answer").click(answer_question, inputs=[context, question], outputs=answer_output)
 
         with gr.Column():
-            gr.Markdown("### Zero-Shot Classification")
+            gr.Markdown("### Zero-Shot")
             text_zsc = gr.Textbox(label="Text")
             labels = gr.Textbox(label="Labels (comma separated)")
             classification_result = gr.JSON(label="Classification Results")
@@ -69,18 +69,18 @@ with gr.Blocks() as demo:
             translated_text = gr.Text(label="Translated Text")
             gr.Button("Translate").click(translate_text, inputs=[text_to_translate], outputs=translated_text)
 
-        with gr.Column():
-            gr.Markdown("### Sentiment Analysis")
-            text_for_sentiment = gr.Textbox(label="Text for Sentiment Analysis")
-            sentiment_result = gr.Text(label="Sentiment")
-            gr.Button("Classify Sentiment").click(classify_topic, inputs=[text_for_sentiment], outputs=sentiment_result)
-
         with gr.Column():
             gr.Markdown("### Summarization")
             text_to_summarize = gr.Textbox(label="Text")
             summary = gr.Text(label="Summary")
             gr.Button("Summarize").click(summarize_text, inputs=[text_to_summarize], outputs=summary)
 
+        with gr.Column():
+            gr.Markdown("### Sentiment Analysis")
+            text_for_sentiment = gr.Textbox(label="Text for Sentiment Analysis")
+            sentiment_result = gr.Text(label="Sentiment")
+            gr.Button("Classify Sentiment").click(classify_topic, inputs=[text_for_sentiment], outputs=sentiment_result)
+
     with gr.Tab("Multi-Model"):
         gr.Markdown("### Multi-Model")
         input_text = gr.Textbox(label="Enter Text for Multi-Model Analysis")