Update app.py

app.py

@@ -1,15 +1,15 @@
 import gradio as gr
 from transformers import pipeline
 
-# pipeline
+# pipeline for sentiment analysis
 sentiment_analysis = pipeline("sentiment-analysis", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
 
-# this takes user input and analyzes mood
+# function to analyze user input and return mood and suggestion
 def analyze_mood(user_input):
-    # Analyze input text
+    # analyze the input text using the sentiment analysis model
     result = sentiment_analysis(user_input)[0]
     
-    # Set the mood
+    # determine mood and provide suggestions based on the sentiment result
     if result["label"] == "POSITIVE":
         mood = "Happy"
         suggestion = "Keep doing what you're doing! 😊"
@@ -20,11 +20,12 @@ def analyze_mood(user_input):
         mood = "Neutral"
         suggestion = "You're doing okay! Stay calm 🌸"
     
-    # Return the mood and the suggestion for the user
+    # return the mood analysis and suggestions
     return "Your mood is: " + mood, suggestion
     
-    inputs = gr.Textbox(label="How are you feeling today?", placeholder="Type your thoughts here...")
-    outputs = gr.Textbox(label="Mood and Suggestion")
+# Gradio interface components
+inputs = gr.inputs.Textbox(label="How are you feeling today?", placeholder="Type your thoughts here...")
+outputs = gr.outputs.Textbox(label="Mood and Suggestion")
 
-
-gr.Interface(fn=analyze_mood, inputs=inputs, outputs=outputs, title="Mood Analyzer").launch()
+# create and launch the Gradio interface
+gr.Interface(fn=analyze_mood, inputs=inputs, outputs=outputs, title="Mood Analyzer").launch()