Upload tool

app.py

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+from smolagents import launch_gradio_demo
+from tool import InfoTheoryExplainerTool
+
+tool = InfoTheoryExplainerTool()
+
+launch_gradio_demo(tool)

requirements.txt

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+smolagents

tool.py

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+from typing import Any, Optional
+from smolagents.tools import Tool
+
+class InfoTheoryExplainerTool(Tool):
+    name = "information_theory_explainer"
+    description = """
+    Five basic information theory concepts in simple terms.
+    Given a concept name, it returns a high-school explanation with an example if applicable.
+    """
+    inputs = {'concept': {'type': 'string', 'description': "The information theory concept to explain (e.g., 'entropy', 'mutual information', 'KL divergence')."}}
+    output_type = "string"
+
+    def forward(self, concept: str):
+        explanations = {
+            "entropy": "Entropy measures the uncertainty or unpredictability in a set of outcomes. Example: A fair coin flip has 1 bit of entropy.",
+            "mutual information": "Mutual information quantifies how much information one random variable tells you about another. Example: Knowing the weather can reduce uncertainty about umbrella usage.",
+            "kl divergence": "KL Divergence measures how one probability distribution differs from another. It's not symmetric and often used in model evaluation.",
+            "cross entropy": "Cross-entropy measures the difference between the true distribution and the predicted one, often used as a loss function in classification tasks.",
+            "channel capacity": "Channel capacity is the maximum rate at which information can be reliably transmitted over a communication channel."
+        }
+
+        key = concept.lower().strip()
+        return explanations.get(key, "Concept not found. Try 'entropy', 'mutual information', 'KL divergence', 'cross entropy', or 'channel capacity'.")
+
+    def __init__(self, *args, **kwargs):
+        self.is_initialized = False