Update app.py

app.py

@@ -1,15 +1,14 @@
 import gradio as gr
 from transformers import pipeline
 
-# pipeline for sentiment analysis
+# Load the sentiment analysis pipeline
 sentiment_analysis = pipeline("sentiment-analysis", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
 
-# function to analyze user input and return mood and suggestion
+# Function to analyze user's mood based on input
 def analyze_mood(user_input):
-    # analyze the input text using the sentiment analysis model
+    # Analyze the mood from the input text
     result = sentiment_analysis(user_input)[0]
-    
-    # determine mood and provide suggestions based on the sentiment result
+    # Define mood and suggestion based on sentiment analysis
     if result["label"] == "POSITIVE":
         mood = "Happy"
         suggestion = "Keep doing what you're doing! 😊"
@@ -20,12 +19,12 @@ def analyze_mood(user_input):
         mood = "Neutral"
         suggestion = "You're doing okay! Stay calm 🌸"
     
-    # return the mood analysis and suggestions
+    # Return mood and suggestion
     return "Your mood is: " + mood, 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")
 
-# create and launch the Gradio interface
+# Define Gradio interface inputs and outputs directly without the '.inputs' or '.outputs' module
+inputs = gr.Textbox(label="How are you feeling today?", placeholder="Type your thoughts here...")
+outputs = gr.Textbox(label="Mood and Suggestion")
+
+# Create and launch the Gradio interface
 gr.Interface(fn=analyze_mood, inputs=inputs, outputs=outputs, title="Mood Analyzer").launch()