init

Signed-off-by: Siddhartha Khuntia <siddharthakhuntia@gmail.com>

.gitignore

@@ -0,0 +1,10 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv

.python-version

@@ -0,0 +1 @@
+3.11

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from textblob import TextBlob
+
+def analyze_sentiment(text: str) -> dict:
+    """
+    Analyze the sentiment of a text.
+    
+    Args:
+        text (str): The text to analyze.
+        
+    Returns:
+        dict: A dictionary containing the sentiment analysis results.
+    """
+    
+    blob: TextBlob = TextBlob(text)
+    sentiment = blob.sentiment
+    return {
+        "polarity": sentiment.polarity,
+        "subjectivity": sentiment.subjectivity,
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral",
+    }
+
+demo: gr.Interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter your text here..."),
+    outputs=gr.JSON(),
+    title="Sentiment Analysis",
+    description="Analyze the sentiment of a text.",
+)
+
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

pyproject.toml

@@ -0,0 +1,10 @@
+[project]
+name = "unit-2-mcp-course"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = [
+    "gradio[mcp]>=5.31.0",
+    "textblob>=0.19.0",
+]

requirements.txt

@@ -0,0 +1,2 @@
+gradio[mcp]
+textblob