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import gradio as gr
from transformers import pipeline
# Load pre-trained sentiment analysis model
sentiment_analysis = pipeline("sentiment-analysis", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
# analyze user's mood from text
def analyze_mood(user_input):
result = sentiment_analysis(user_input)[0]
# assign mood based on sentiment
if result["label"] == "POSITIVE":
mood = "Happy"
suggestion = "Keep doing what you're doing! 😊"
elif result["label"] == "NEGATIVE":
mood = "Sad"
suggestion = "Try to talk to someone, or take a break 💡"
else:
mood = "Neutral"
suggestion = "You're doing okay! Stay calm 🌸"
# Output mood and suggestion
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")
gr.Interface(fn=analyze_mood, inputs=inputs, outputs=outputs, title="Mood Analyzer").launch()
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