Send confirmation messge to the plot

operators/llm_op.py

@@ -8,12 +8,12 @@ import json
 import re
 import time
 
+CHATGPT = False
 MODEL_NAME_OR_PATH = "TheBloke/deepseek-coder-6.7B-instruct-GPTQ"
-# MODEL_NAME_OR_PATH = "hanspeterlyngsoeraaschoujensen/deepseek-math-7b-instruct-GPTQ"
 
 CODE_MODIFIER_TEMPLATE = """
 ### Instruction
-Respond with the modified code only in ```python block. No explaination.
+Respond with one block of modified code only in ```python block. No explaination.
 
 ```python
 {code}
@@ -204,9 +204,14 @@ class Operator:
 
             user_message = input["user_message"]
             start_llm = time.time()
-            output = self.ask_llm(
-                CODE_MODIFIER_TEMPLATE.format(code=code, user_message=user_message)
-            )
+            if CHATGPT:
+                output = self.ask_chatgpt(
+                    CODE_MODIFIER_TEMPLATE.format(code=code, user_message=user_message)
+                )
+            else:
+                output = self.ask_llm(
+                    CODE_MODIFIER_TEMPLATE.format(code=code, user_message=user_message)
+                )
 
             source_code = replace_code_in_source(code, output)
             print("response time:", time.time() - start_llm, flush=True)
@@ -251,10 +256,26 @@ class Operator:
                             pa.array(output["data"]),
                             dora_event["metadata"],
                         )
+
+                        send_output(
+                            "assistant_message",
+                            pa.array([f"sent: {output}"]),
+                            dora_event["metadata"],
+                        )
                     else:
-                        print("Could not find the topic: {}".format(output["topic"]))
+                        send_output(
+                            "assistant_message",
+                            pa.array(
+                                [f"Could not send as topic was not available: {output}"]
+                            ),
+                            dora_event["metadata"],
+                        )
             except:
-                print("Could not parse json")
+                send_output(
+                    "assistant_message",
+                    pa.array([f"Could not parse json: {outputs}"]),
+                    dora_event["metadata"],
+                )
             # if data is not iterable, put data in a list
         elif dora_event["type"] == "INPUT" and dora_event["id"] == "assistant":
             user_message = dora_event["value"][0].as_py()