app.py

import gradio as gr
from transformers import pipeline

# Load the sentiment analysis and named entity recognition pipelines from Hugging Face Transformers
sentiment_analyzer = pipeline('sentiment-analysis')
ner_analyzer = pipeline('ner')

# Function to perform multiple analyses on text
def analyze_text(text):
    # Sentiment analysis
    sentiment_result = sentiment_analyzer(text)[0]
    sentiment_analysis = f"Sentiment: {sentiment_result['label']} ({sentiment_result['score']:.2f})"

    # Named Entity Recognition (NER)
    ner_results = ner_analyzer(text)
    ner_analysis = "Named Entities:\n" + "\n".join([f"{entity['word']} ({entity['entity']})" for entity in ner_results])

    return sentiment_analysis + "\n\n" + ner_analysis

# Create a Gradio interface
iface = gr.Interface(fn=analyze_text, inputs="text", outputs="text")

# Launch the Gradio app
iface.launch()