eval run console messages + small fix

Author: Andrei Bratu

src/humanloop/evals/run.py

@@ -140,15 +140,16 @@ def run_eval(
     file_exists = False
     try:
         path_ = file_.get("path")
-        hl_file = client.files.retrieve_by_path(path=path_)
-        if hl_file.type != type_:
-            sys.stdout.write(
-                f"{RED}Error in your `file` argument:\n\nThe file type {hl_file.type} does not "
-                f"match the type of the File at {path_}: {type_}.{RESET}"
-            )
-            return []
-        file_exists = True
-        sys.stdout.write(f"{CYAN}Using the File definition from Humanloop workspace: {path_}{RESET}")
+        if path_ is not None:
+            hl_file = client.files.retrieve_by_path(path=path_)
+            if hl_file.type != type_:
+                sys.stdout.write(
+                    f"{RED}Error in your `file` argument:\n\nThe file type {type_} does not "
+                    f"match the type of the File at {path_}: {hl_file.type}.{RESET}"
+                )
+                return []
+            file_exists = True
+            sys.stdout.write(f"{CYAN}Using the File definition from Humanloop workspace: {path_}{RESET}")
     except ApiError as e:
         if e.status_code == 404:
             # Let's create the file
@@ -220,11 +221,13 @@ def handle_exit_signal(signum, frame):
     # Generate locally if a file `callable` is provided
     if function_ is None:
         # TODO: trigger run when updated API is available
-        sys.stdout.write(f"{CYAN}\nRunning '{hl_file.name}' over the Dataset '{hl_dataset.name}'{RESET}\n")
+        sys.stdout.write(
+            f"{CYAN}\nRunning '{hl_file.name}' {hl_file.type.capitalize()} over the Dataset '{hl_dataset.name}'{RESET}\n"
+        )
     else:
         # Running the evaluation locally
         sys.stdout.write(
-            f"{CYAN}\nRunning '{hl_file.name}' over the Dataset '{hl_dataset.name}' using {workers} workers...{RESET}\n\n"
+            f"{CYAN}\nRunning '{hl_file.name}' {hl_file.type.capitalize()} over the Dataset '{hl_dataset.name}' using {workers} workers...{RESET}\n\n"
         )
 
     _PROGRESS_BAR = _SimpleProgressBar(len(hl_dataset.datapoints))