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fixes for pydantic in gpt_langchain.py #1722

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merged 1 commit into from
Aug 7, 2023
Merged

fixes for pydantic in gpt_langchain.py #1722

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10 changes: 5 additions & 5 deletions apps/language_models/langchain/gpt_langchain.py
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Original file line number Diff line number Diff line change
Expand Up @@ -436,7 +436,7 @@ class GradioInference(LLM):
chat_client: bool = False

return_full_text: bool = True
stream: bool = False
stream_output: bool = Field(False, alias="stream")
sanitize_bot_response: bool = False

prompter: Any = None
Expand Down Expand Up @@ -481,7 +481,7 @@ def _call(
# so server should get prompt_type or '', not plain
# This is good, so gradio server can also handle stopping.py conditions
# this is different than TGI server that uses prompter to inject prompt_type prompting
stream_output = self.stream
stream_output = self.stream_output
gr_client = self.client
client_langchain_mode = "Disabled"
client_langchain_action = LangChainAction.QUERY.value
Expand Down Expand Up @@ -596,7 +596,7 @@ class H2OHuggingFaceTextGenInference(HuggingFaceTextGenInference):
inference_server_url: str = ""
timeout: int = 300
headers: dict = None
stream: bool = False
stream_output: bool = Field(False, alias="stream")
sanitize_bot_response: bool = False
prompter: Any = None
tokenizer: Any = None
Expand Down Expand Up @@ -663,7 +663,7 @@ def _call(
# lower bound because client is re-used if multi-threading
self.client.timeout = max(300, self.timeout)

if not self.stream:
if not self.stream_output:
res = self.client.generate(
prompt,
**gen_server_kwargs,
Expand Down Expand Up @@ -852,7 +852,7 @@ def get_llm(
top_p=top_p,
# typical_p=top_p,
callbacks=callbacks if stream_output else None,
stream=stream_output,
stream_output=stream_output,
prompter=prompter,
tokenizer=tokenizer,
client=hf_client,
Expand Down
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