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@@ -13,7 +13,47 @@ short_description: Deep Research Evaluator for Long Horizon Learning Tasks
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# ๐ต', '๐ถ', '๐ธ', '๐น', '๐บ', '๐ท', '๐ฅ', '๐ป
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Key Topics and Related Papers:
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# ๐ต', '๐ถ', '๐ธ', '๐น', '๐บ', '๐ท', '๐ฅ', '๐ป
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Deep Research Evaluator is a conceptual AI system designed to analyze and synthesize information from extensive research literature, such as arXiv papers, to learn about specific topics and generate code applicable to long-horizon tasks in AI. This involves understanding complex subjects, identifying relevant methodologies, and implementing solutions that require planning and execution over extended sequences.
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# Project Architecture
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- ๐ **Root Folder**
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- **app.py** (๐ค *Streamlit App*)
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- Main entry point for your Streamlit application.
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- **requirements.txt** (๐ *Dependencies*)
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- Lists all the Python packages needed to run the app.
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- ๐ **mycomponent** (๐ง *HTML Component*)
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- A subdirectory containing your custom Streamlit component code.
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- **\_\_init\_\_.py** (๐ *Python Init*)
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- Tells Python this folder is a module/package.
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- **index.html** (๐ *Custom HTML*)
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- Front-end HTML/JS/CSS for the custom component.
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```mermaid
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flowchart TB
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A[๐ Root Folder] --> B[app.py ๐ค<br>(Streamlit App)]
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A --> C[requirements.txt ๐<br>(Dependencies)]
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A --> D[๐ mycomponent ๐ง<br>(HTML Component)]
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D --> E[__init__.py ๐<br>(Python Init)]
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D --> F[index.html ๐<br>(Custom HTML)]
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```
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---
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**Usage Flow**:
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1. You run `streamlit run app.py`.
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2. **app.py** imports **mycomponent** to load the HTML from **index.html**.
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3. **requirements.txt** ensures needed dependencies are installed.
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4. The **\_\_init\_\_.py** file ensures the custom component folder is recognized as a Python package.
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**Notes**:
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- **app.py** hosts your Streamlit logic and references the **mycomponent**.
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- **index.html** supplies the interface for any front-end custom elements.
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- **requirements.txt** keeps the environment consistent.
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Key Topics and Related Papers:
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