(no commit message)

README.md

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-# summarizer
-

auto_classes.json

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+{
+  "AutoConfig": "modaic.PrecompiledConfig",
+  "AutoProgram": "summarizer.Summarizer"
+}

config.json

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+{
+  "model": null
+}

program.json

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+{
+  "predict": {
+    "traces": [],
+    "train": [],
+    "demos": [],
+    "signature": {
+      "instructions": "Given the fields `input`, produce the fields `summary`.",
+      "fields": [
+        {
+          "prefix": "Input:",
+          "description": "${input}"
+        },
+        {
+          "prefix": "Summary:",
+          "description": "${summary}"
+        }
+      ]
+    },
+    "lm": null
+  },
+  "metadata": {
+    "dependency_versions": {
+      "python": "3.11",
+      "dspy": "3.0.4",
+      "cloudpickle": "3.1"
+    }
+  }
+}

pyproject.toml

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+[project]
+name = "summarizer"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = ["dspy>=3.0.4", "ipykernel>=7.1.0", "langfuse>=3.11.1", "modaic>=0.8.1", "modal>=1.3.0.post1", "openinference-instrumentation>=0.1.42", "openinference-instrumentation-dspy>=0.1.32"]

summarizer.py

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+from modaic import PrecompiledProgram
+import dspy
+
+
+class Summarizer(PrecompiledProgram):
+    def __init__(self, **kwargs):
+        self.predict = dspy.Predict("input -> summary")
+        super().__init__(**kwargs)
+
+    def forward(self, input: str) -> str:
+        return self.predict(input=input)