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README.md

@@ -1,12 +1,12 @@
----
-title: Mcp Sentiment
-emoji: 📚
-colorFrom: green
-colorTo: yellow
-sdk: gradio
-sdk_version: 5.38.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Mcp Sentiment
+emoji: 📚
+colorFrom: green
+colorTo: yellow
+sdk: gradio
+sdk_version: 5.38.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,40 @@
+import json 
+import gradio as gr 
+from textblob import TextBlob
+
+
+
+def sentiment_analysis(text : str ) -> str:
+  """
+  Analyze the sentiment of the given text.
+
+  Args:
+      text (str): The text to analyze
+
+  Returns:
+      str: A JSON string containing polarity, subjectivity, and assessment
+  """
+
+  blob = TextBlob(text)
+  sentiment = blob.sentiment
+
+  result = {
+    "polarity": round(sentiment.polarity, 2), # Polarity ranges from -1 (negative) to 1 (positive),
+    "subjectivity": round(sentiment.subjectivity, 2) ,
+    "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
+    
+  }
+  return json.dumps(result)
+
+
+demo = gr.Interface(
+  fn = sentiment_analysis,
+  inputs = gr.Textbox(label="Enter text for sentiment analysis", placeholder="Type here..."),
+  outputs = gr.Textbox(),
+  title = "Sentiment Analysis with TextBlob",
+  description = "This app uses TextBlob to perform sentiment analysis on the input text. It returns the polarity, subjectivity, and overall assessment of the sentiment.",
+)
+
+
+if __name__ == "__main__":
+  demo.launch(mcp_server= True )

requirements.txt

@@ -0,0 +1,4 @@
+gradio[mcp]
+textblob
+
+