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README.md

@@ -57,7 +57,11 @@ TBD
 
 TBD
 
-## Future Work
+## Related Research
+
+* [Retro: A Generalist Agent for Science](https://arxiv.org/abs/2112.04426)
+* [RETRO-pytorch](https://github.com/lucidrains/RETRO-pytorch)
+* [Why isn't Retro mainstream? State-of-the-art within reach](https://www.reddit.com/r/MachineLearning/comments/1cffgkt/d_why_isnt_retro_mainstream_stateoftheart_within/)
 
 TBD
 

app.py

@@ -14,7 +14,10 @@ from transformers.agents import (
 )
 from tools.text_to_image import TextToImageTool
 from transformers import load_tool
-from prompts import DEFAULT_SQUAD_REACT_CODE_SYSTEM_PROMPT, FOCUSED_SQUAD_REACT_CODE_SYSTEM_PROMPT
+from prompts import (
+    DEFAULT_SQUAD_REACT_CODE_SYSTEM_PROMPT,
+    FOCUSED_SQUAD_REACT_CODE_SYSTEM_PROMPT,
+)
 from pygments.formatters import HtmlFormatter
 
 
@@ -65,7 +68,7 @@ agent = get_agent(
     model_name=model_name,
     toolbox=TASK_SOLVING_TOOLBOX,
     system_prompt=system_prompt,
-    use_openai=True, # Use OpenAI instead of a local or HF model as the base LLM engine
+    use_openai=True,  # Use OpenAI instead of a local or HF model as the base LLM engine
 )
 
 app = None
@@ -130,10 +133,18 @@ def persist(component):
 
     return component
 
+
 from gradio.components import (
     Component as GradioComponent,
 )
-from gradio.components.chatbot import Chatbot, FileDataDict, FileData, ComponentMessage, FileMessage
+from gradio.components.chatbot import (
+    Chatbot,
+    FileDataDict,
+    FileData,
+    ComponentMessage,
+    FileMessage,
+)
+
 
 class CleanChatBot(Chatbot):
     def __init__(self, **kwargs):
@@ -141,13 +152,9 @@ class CleanChatBot(Chatbot):
 
     def _postprocess_content(
         self,
-        chat_message: str
-        | tuple
-        | list
-        | FileDataDict
-        | FileData
-        | GradioComponent
-        | None,
+        chat_message: (
+            str | tuple | list | FileDataDict | FileData | GradioComponent | None
+        ),
     ) -> str | FileMessage | ComponentMessage | None:
         response = super()._postprocess_content(chat_message)
         print(f"Post processing content: {response}")
@@ -156,6 +163,7 @@ class CleanChatBot(Chatbot):
             response.props["open"] = False
         return response
 
+
 with gr.Blocks(
     fill_height=True,
     css=".gradio-container .message .content {text-align: left;}"

benchmarks/baseline.pkl

@@ -1,3 +1,3 @@
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-oid sha256:4d24cf79b3e154a436d795e87e31c985a77e941ad5357a83b8fddf5d494bfebd
-size 12454
+oid sha256:c64b60b68e9352362580c572c05e65ca818f855da09b26a32c1c14036f061c4e
+size 110471

benchmarks/focused.pkl

@@ -1,3 +1,3 @@
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-oid sha256:3b6bd69e5404cf2efe21ced529b0767e2f39cb161138f5247b7591f1edf1f76a
-size 11532
+oid sha256:681d28d7a1dc27e565749c6efacc80dd0cb99800852181a6583d42d99c8ca597
+size 105268

benchmarks/succinct.pkl

@@ -1,3 +1,3 @@
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-oid sha256:c8416117883d203ac7b4d1f2f577e64474d706a48a46637920eeecbfcf724035
-size 11693
+oid sha256:8bc58d49f0f285305921c23635bb9e95fab00cd387c42632a65fa165d8a49a5b
+size 105321

samples/samples.pkl

@@ -1,3 +1,3 @@
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-oid sha256:02778a8a4b85a0e8b08b39665d01e35980e0a81cc96b940bf9b4c5393186a6ad
-size 11174
+oid sha256:2c48a2f60792b905f74b781ae80507acaf9f247e15fde5fbb8d196d12425b63a
+size 99935