Update app.py

app.py

@@ -3,14 +3,18 @@
 import gradio as gr
 from transformers import pipeline
 
-#pipelines
+#pipelines init
 qa_pipeline = pipeline("question-answering", model="deepset/roberta-base-squad2")
+
 classification_pipeline = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+
 translation_pipeline = pipeline("translation", model="Helsinki-NLP/opus-mt-en-fr")
+
 topic_classification_pipeline = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")  # Fine-tuned model for topic classification
+
 summarization_pipeline = pipeline("summarization", model="facebook/bart-large-cnn")
 
-#functions
+#functions defining
 
 def answer_question(context, question):
     return qa_pipeline(question=question, context=context)["answer"]
@@ -42,7 +46,7 @@ def multi_model_interaction(text):
     }
 
 
-
+#Blocking interface
 with gr.Blocks() as demo:
     with gr.Tab("Single Models"):
         with gr.Column():
@@ -83,4 +87,5 @@ with gr.Blocks() as demo:
         multi_output = gr.Text(label="Results")
         gr.Button("Process").click(multi_model_interaction, inputs=[input_text], outputs=multi_output)
 
+    #Launching demo
     demo.launch(share=True, debug=True)