add example run

run.py

@@ -0,0 +1,48 @@
+import os
+
+import hydra
+
+from aiflows.messages import InputMessage
+from aiflows.utils.general_helpers import read_yaml_file
+
+from aiflows import logging
+from aiflows.flow_cache import CACHING_PARAMETERS, clear_cache
+
+CACHING_PARAMETERS.do_caching = False  # Set to True in order to disable caching
+# clear_cache() # Uncomment this line to clear the cache
+
+logging.set_verbosity_debug()
+logging.auto_set_dir()
+
+dependencies = [
+    {"url": "aiflows/InterpreterFlowModule", "revision": "main"},
+]
+
+from aiflows import flow_verse
+
+flow_verse.sync_dependencies(dependencies)
+
+if __name__ == "__main__":
+    current_dir = os.getcwd()
+    cfg_path = os.path.join(current_dir, "InterpreterAtomicFlow.yaml")
+    cfg = read_yaml_file(cfg_path)
+
+
+    # ~~~ instantiating the flow and input data ~~~
+    InterpreterFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
+    code = """
+print("Hello World!")
+    """
+    input_data = {
+        "language": "Python",
+        "code": code,
+    }
+    input_message = InputMessage.build(
+        data_dict=input_data,
+        src_flow="Launcher",
+        dst_flow=InterpreterFlow.name
+    )
+
+    # ~~~ calling the flow ~~~
+    output_message = InterpreterFlow(input_message)
+    print(output_message.data)