Iniciando a aplicação

app.py

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+#
+#
+
+import  gradio      as      gr
+from    textblob    import  TextBlob
+
+def sentiment_analysis(text: str) -> dict:
+    """
+    Analyze the sentiment of the given text.
+
+    Args:
+        text (str): The text to analyze
+
+    Returns:
+        dict: A dictionary containing polarity, subjectivity, and assessment
+    """
+    blob        = TextBlob(text)
+    sentiment   = blob.sentiment
+
+    _polarity       = round(sentiment.polarity,       2)            # -1 (negative) to 1 (positive)    
+    _subjectivity   = round(sentiment.subjectivity,   2)            # 0 (objective) to 1 (subjective)
+    _assessment     =   "positive" if _polarity > 0 else \
+                        "negative" if _polarity < 0 else "neutral"
+
+    return {
+        "polarity":     _polarity,     
+        "subjectivity": _subjectivity,     
+        "assessment":   _assessment,
+    }
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn          = sentiment_analysis,
+    inputs      = gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs     = gr.JSON(),
+    title       = "Text Sentiment Analysis",
+    description = "Analyze the sentiment of text using TextBlob" 
+)
+
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob