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test lists
Browse files- app.py +5 -7
- temp_showcase_model.py +0 -93
app.py
CHANGED
@@ -4,7 +4,6 @@ import streamlit_pydantic as sp
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from pydantic import BaseModel, Field
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from src.Surveyor import Surveyor
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from temp_showcase_model import ShowcaseModel
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@@ -56,8 +55,8 @@ class KeywordsModel(BaseModel):
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class ArxivIDsModel(BaseModel):
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arxiv_ids: Optional[
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)
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@@ -74,8 +73,9 @@ def survey_space(surveyor, download_placeholder):
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run_kwargs.update({'research_keywords':session_data['research_keywords'],
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'max_search':session_data['research_keywords'],
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'num_papers':session_data['research_keywords']})
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elif
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run_kwargs.update({'arxiv_ids':session_data['arxiv_ids']})
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run_survey(**run_kwargs)
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'''
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@@ -112,8 +112,6 @@ def survey_space(surveyor, download_placeholder):
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if __name__ == '__main__':
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st.title('Auto-Research V0.1 - Automated Survey generation from research keywords')
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with st.sidebar.form(key="dummy_form"):
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dummy_session_data = sp.pydantic_input(key="dummy_model", model=ShowcaseModel)
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std_col, survey_col = st.columns(2)
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std_col.header('execution log:')
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survey_col.header('Generated_survey:')
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from pydantic import BaseModel, Field
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from src.Surveyor import Surveyor
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class ArxivIDsModel(BaseModel):
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arxiv_ids: Optional[str] = Field(
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'', description="Enter comma_separated arxiv ids for your curated set of papers (e.g. 2205.12755, 2205.10937, ...):"
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)
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run_kwargs.update({'research_keywords':session_data['research_keywords'],
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'max_search':session_data['research_keywords'],
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'num_papers':session_data['research_keywords']})
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elif session_data['arxiv_ids'] != '':
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run_kwargs.update({'arxiv_ids':[id.strip() for id in session_data['arxiv_ids'].split(',')]})
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st.json(run_kwargs)
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run_survey(**run_kwargs)
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'''
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if __name__ == '__main__':
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st.title('Auto-Research V0.1 - Automated Survey generation from research keywords')
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std_col, survey_col = st.columns(2)
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std_col.header('execution log:')
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survey_col.header('Generated_survey:')
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temp_showcase_model.py
DELETED
@@ -1,93 +0,0 @@
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import datetime
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from enum import Enum
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from typing import Dict, List, Literal, Optional, Set
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import streamlit as st
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from pydantic import BaseModel, Field, SecretStr
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import streamlit_pydantic as sp
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from streamlit_pydantic.types import FileContent
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class SelectionValue(str, Enum):
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FOO = "foo"
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BAR = "bar"
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class OtherData(BaseModel):
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text: str
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integer: int
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class ShowcaseModel(BaseModel):
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short_text: str = Field(..., max_length=60, description="Short text property")
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password: SecretStr = Field(..., description="Password text property")
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long_text: str = Field(
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..., format="multi-line", description="Unlimited text property"
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)
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integer_in_range: int = Field(
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20,
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ge=10,
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le=30,
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multiple_of=2,
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description="Number property with a limited range. Optional because of default value.",
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)
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positive_integer: int = Field(
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..., ge=0, multiple_of=10, description="Positive integer with step count of 10."
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)
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float_number: float = Field(0.001)
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date: Optional[datetime.date] = Field(
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datetime.date.today(),
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description="Date property. Optional because of default value.",
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)
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time: Optional[datetime.time] = Field(
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datetime.datetime.now().time(),
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description="Time property. Optional because of default value.",
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)
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boolean: bool = Field(
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False,
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description="Boolean property. Optional because of default value.",
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)
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read_only_text: str = Field(
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"Lorem ipsum dolor sit amet",
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description="This is a ready only text.",
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readOnly=True,
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)
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file_list: Optional[List[FileContent]] = Field(
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None,
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description="A list of files. Optional property.",
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)
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single_file: Optional[FileContent] = Field(
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None,
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description="A single file. Optional property.",
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)
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single_selection: SelectionValue = Field(
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..., description="Only select a single item from a set."
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)
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single_selection_with_literal: Literal["foo", "bar"] = Field(
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"foo", description="Only select a single item from a set."
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)
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multi_selection: Set[SelectionValue] = Field(
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..., description="Allows multiple items from a set."
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)
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multi_selection_with_literal: Set[Literal["foo", "bar"]] = Field(
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["foo", "bar"], description="Allows multiple items from a set."
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)
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single_object: OtherData = Field(
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...,
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description="Another object embedded into this model.",
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)
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string_list: List[str] = Field(
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..., max_items=20, description="List of string values"
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)
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int_list: List[int] = Field(..., description="List of int values")
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string_dict: Dict[str, str] = Field(
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..., description="Dict property with string values"
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)
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float_dict: Dict[str, float] = Field(
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..., description="Dict property with float values"
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)
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object_list: List[OtherData] = Field(
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...,
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description="A list of objects embedded into this model.",
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)
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