streamlit_app.py

#########################################################################
# Copyright (C)                                                       	#
# 2025-June Sen Li (Sen.Li.Sprout@gmail.com)		     			    #
# Permission given to modify the code only for Non-Profit Research		#
# as long as you keep this declaration at the top 						#
#########################################################################

import gradio as gr
import textblob
import os

def func_SentimentAnalysis(str_tgtText_2_Analyze: str) -> dict:
    """    Analyze the sentiment of the given text.
    Args:
        str_tgtText_2_Analyze (str): The text to analyze

    Returns:
        dict_SentimentAnalysis: {  polarity        [-1, 1],
                                    subjectivity    objective [0, 1] subjective
                                    assessment ["positive", "neutral", "negative"]
                                }
    """
    textBlob_tgtText    = textblob.TextBlob(str_tgtText_2_Analyze)
    sentiment_tgtText   = textBlob_tgtText.sentiment
    dict_SentimentAnalysis = {
        "polarity":     round(sentiment_tgtText.polarity, 2),
        "subjectivity": round(sentiment_tgtText.subjectivity, 2),
        "assessment":           "positive" if sentiment_tgtText.polarity > 0                    \
                        else    "negative" if sentiment_tgtText.polarity < 0 else "neutral"
    }
    return dict_SentimentAnalysis




# Launch the interface and MCP server
if __name__ == "__main__":
    print(f"os.getcwd() = {os.getcwd()}")
    os.system(f"echo ls -al {os.getcwd()} && ls -al {os.getcwd()}")
    os.system(f"echo ls -al /app/../: && ls -al /app/../")
    # os.system(f"echo ls -al /.gradio/: && ls -al /.gradio/")
    os.system(f"echo ls -al /app/: && ls -al /app/")
    os.system(f"echo ls -al /home/: && ls -al /home/")
    os.system(f"echo ls -al /app/src/: && ls -al /app/src/")

    # Create the Gradio interface
    grInterface_SentimentAnalysis = gr.Interface(
        fn      = func_SentimentAnalysis,
        inputs  = gr.Textbox(placeholder="Enter text to analyze..."),
        outputs = gr.JSON(),
        title   = "Text Sentiment Analysis",
        description = "Analyze the sentiment of text using TextBlob"
    )


    # MCP Schema:  Visit http://localhost:7860/gradio_api/mcp/schema
    # MCP Server:
    #     Setting mcp_server=True enables the MCP server, enable using the environment variable:
    #     export GRADIO_MCP_SERVER=True      # http://localhost:7860/gradio_api/mcp/sse
    
    grInterface_SentimentAnalysis.launch(share=True) # mcp_server=True, share=True)

    os.system(f"echo ls -al /app/flagged/: && ls -al /app/flagged/")
    # os.system(f"echo ls -al /.gradio/flagged/: && ls -al /.gradio/flagged/")