(no commit message)

agent.json

@@ -4,11 +4,11 @@
     "train": [],
     "demos": [],
     "signature": {
-      "instructions": "Given the fields `image`, produce the fields `total_cost`.",
+      "instructions": "Given the fields `image_url`, produce the fields `total_cost`.",
       "fields": [
         {
-          "prefix": "Image:",
-          "description": "${image}"
+          "prefix": "Image Url:",
+          "description": "${image_url}"
         },
         {
           "prefix": "Total Cost:",

auto_classes.json

@@ -1,4 +1,4 @@
 {
-  "AutoConfig": "setup.ReceiptClassifierConfig",
-  "AutoAgent": "setup.ReceiptClassifier"
+  "AutoConfig": "main.ReceiptClassifierConfig",
+  "AutoAgent": "main.ReceiptClassifier"
 }

main.py

@@ -0,0 +1,31 @@
+from modaic import PrecompiledAgent, PrecompiledConfig
+import dspy
+
+class ReceiptClassifierConfig(
+    PrecompiledConfig
+):  # Configurable for each agent instance
+    lm: str = "openai/gpt-4o-mini"  # Set OPENAI_API_KEY
+    max_tokens: int = 500
+
+class ReceiptClassifier(PrecompiledAgent):  # Extends dspy.module()
+    config: ReceiptClassifierConfig
+
+    def __init__(self, config: ReceiptClassifierConfig, **kwargs):
+        super().__init__(config, **kwargs)
+
+        self.extract = dspy.Predict("image_url -> total_cost")
+        lm = dspy.LM(config.lm, max_tokens=config.max_tokens)
+        self.extract.set_lm(lm)
+
+    def forward(self, image_url: str) -> str:
+        receipt_image = dspy.Image.from_url(image_url)
+        return self.extract(receipt_image)
+
+agent = ReceiptClassifier(ReceiptClassifierConfig())
+
+def main():
+    agent.push_to_hub("farouk1/receipt-classifier", with_code=True)
+
+if __name__ == "__main__":
+    main()
+

setup.py

@@ -1,23 +0,0 @@
-from modaic import PrecompiledAgent, PrecompiledConfig
-import dspy
-
-class ReceiptClassifierConfig(PrecompiledConfig): # Configurable for each agent instance
-    lm: str = "openai/gpt-4o-mini" # Set OPENAI_API_KEY
-    max_tokens: int = 500
-
-class ReceiptClassifier(PrecompiledAgent): # Extends dspy.module()
-    config: ReceiptClassifierConfig
-
-    def __init__(self, config: ReceiptClassifierConfig, **kwargs):
-        super().__init__(config, **kwargs)
-
-        self.extract = dspy.Predict("image -> total_cost")
-        lm = dspy.LM(config.lm, max_tokens=config.max_tokens)
-        self.extract.set_lm(lm)
-       
-    def forward(self, image_path: str) -> str:
-        receipt_image = dspy.Image.from_file(image_path) 
-        return self.extract(receipt_image)
-
-agent = ReceiptClassifier(ReceiptClassifierConfig())
-agent.push_to_hub("farouk1/receipt-classifier", with_code=True)