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https://github.com/g-hano/Claude-Powered-Study-Assistant
A study assistant powered by Claude Opus. It provides various tools to assist with different tasks, such as researching,coding,note-taking and more.
https://github.com/g-hano/Claude-Powered-Study-Assistant
ai llm python rag
Last synced: 3 days ago
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A study assistant powered by Claude Opus. It provides various tools to assist with different tasks, such as researching,coding,note-taking and more.
- Host: GitHub
- URL: https://github.com/g-hano/Claude-Powered-Study-Assistant
- Owner: g-hano
- License: mit
- Created: 2024-03-11T11:26:46.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-07-18T12:01:47.000Z (6 months ago)
- Last Synced: 2025-01-04T00:51:39.419Z (5 days ago)
- Topics: ai, llm, python, rag
- Language: Python
- Homepage:
- Size: 590 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Claude Powered Study Assistant
This is a Python-based study assistant powered by an LLM (Large Language Model). It provides various tools to assist with different tasks related to research, coding, note-taking, and more. Below is a description of each tool along with its capabilities and usage instructions.
## Tools Available
1. Wikipedia Search
* **_Description_**: Searches Wikipedia based on user input. Useful for scientific or specific inquiries.
2. DuckDuckGo Search
- **_Description_**: Utilizes DuckDuckGo's Search API to find information on the internet. Useful for general inquiries.
3. Note Saving
- **_Description_**: Saves notes to 'notes.txt' for further user access.
4. Code Executer
- **_Description_**: Executes the provided code string and compares the result to the expected output.
5. Calculator
- **_Description_**: Basic arithmetic calculator supporting addition, subtraction, multiplication, and division.
6. YouTube Search
- **_Description_**: Searches YouTube based on the given input and returns the most related 5 videos.
7. File Reading
- **_Description_**: Extracts text from various file formats (PDF, TXT, DOCX).
## Usage
1. Import the `Tool` class from `Tool.py`.
2. Create instances of each tool with appropriate parameters.
3. Use the tools as needed by passing required parameters to their respective functions.
Example:
```python
from Tool import Tool
# Create tool instances
wiki = Tool(tool1_name, tool1_description, tool1_parameters)
search = Tool(tool2_name, tool2_description, tool2_parameters)
# Create more instances for other tools...
TOOLS = [wiki, search, ..]
# Use the tools
names = [tool.name for tool in TOOLS]
descriptions = [tool.description for tool in TOOLS]
parameters = [tool.parameters for tool in TOOLS]
all_tools = construct_format_tool_for_claude_prompt(names, descriptions, parameters)
system_prompt = construct_tool_use_system_prompt([all_tools]))
function_calling_message = client.messages.create(
model=MODEL_NAME,
max_tokens=1024,
messages=[message],
system=system_prompt,
stop_sequences=["\nHuman:", "\nAssistant", ""]
).content[0].text + ''
print(function_calling_message)
```
Example prompts and outputs:
```python
Prompt = "can you read 'Cihan Yalçın.pdf' and summarize it for me."
```
---
```python
Prompt = "search YouTube for Machine Learning"
```
