import gradio as gr
from transformers import pipeline

# Load a sentiment analysis pipeline from Hugging Face
sentiment_pipeline = pipeline(task="text-classification", model="SamLowe/roberta-base-go_emotions", top_k=None)

def analyze_sentiment(text):
    result = sentiment_pipeline(text)

    print(result)
    return result[0][0]["label"] #pipeline return an aray of array of dictionary

# Create a Gradio interface
iface = gr.Interface(
    fn=analyze_sentiment,
    inputs=[gr.Textbox(label="Enter text here")],
    outputs=[gr.Label(label="Sentiment")],
    title="Sentiment Analyzer",
    description="Enter a text to analyze its sentiment",
)

# Launch the Gradio interface
iface.launch()