app.py

# Install dependencies if not already installed
# !pip install gradio transformers

import gradio as gr
from transformers import pipeline

# Load sentiment analysis pipeline
pipe = pipeline('sentiment-analysis')
# For financial sentiment analysis you can use:
# pipe = pipeline("text-classification", model="ProsusAI/finbert")

# Define function
def analyze_sentiment(text):
    if text.strip() == "":
        return {"error": "Please enter some text."}
    result = pipe(text)
    return result

# Gradio Interface
with gr.Blocks() as demo:
    gr.Markdown("## Sentiment Analysis with Transformers")

    with gr.Row():
        text_input = gr.Textbox(
            label="Enter your input:",
            placeholder="Type text here...",
            lines=4
        )
    
    output = gr.JSON(label="Output")

    analyze_button = gr.Button("Analyze Sentiment")

    analyze_button.click(
        fn=analyze_sentiment,
        inputs=text_input,
        outputs=output
    )

# Launch app
if __name__ == "__main__":
    demo.launch()