https://github.com/0xzee/newsletter-crewai-agents-streamlit

📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️
https://github.com/0xzee/newsletter-crewai-agents-streamlit

agentic ai crewai duckduckgo-search gemma2-9b groq-api langchain-python llama3-8b mixtral-8x7b rag

Last synced: 5 months ago
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📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️

• Host: GitHub
• URL: https://github.com/0xzee/newsletter-crewai-agents-streamlit
• Owner: 0xZee
• Created: 2024-07-11T14:32:19.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-07-11T19:17:55.000Z (11 months ago)
• Last Synced: 2024-12-06T12:07:58.152Z (6 months ago)
• Topics: agentic, ai, crewai, duckduckgo-search, gemma2-9b, groq-api, langchain-python, llama3-8b, mixtral-8x7b, rag
• Language: Python
• Homepage:
• Size: 64.5 KB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: news_screen.JPG

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README

        
# 📝 `Weekly News Letter` Crew AI Agents 🖋️

### 🖋️ Streamlit App : NewsLetter Writer Crew AI Agents to Get `Last Weekly News` based on a specific `Topic`.

### 🤖 Pick your LLM : META's `llama3`, MISTRAL's `Mixtral`, GOOGLE's `Gemma` and `Gemma2` 

## NEWS LETTER : DuckDuckGo Search & CREW AI

- News Letter Writer assitant to help generate a LLM powered update Weekly News based on your topic.

![CrewAi App WorkFlow](news_screen.JPG)

## 📝 Streamlit Ai Crew :

- `CrewAi` : Framework for Agents, Tasks and Tools (2x2 Agents/Tasks)

- `Callbacks` : To render the Agents processing and final outputs

- `DuckSearchTools` : Get the last week informations from DuckDuckGo Search Class

- `Groq API` : for Inference

- `Available LLM` : META's `llama3`, MISTRAL's `Mixtral`, GOOGLE's `Gemma` and `Gemma2`.

## CREW AI AGENT :

- An advanced research assistant by leveraging LangChain-powered tools into a CrewAI-powered multi-agent setup.

- LangChain is a framework enabling developers to easily build LLM-powered applications over their data; it contains production modules for indexing, retrieval, and prompt/agent orchestration.

- A core use case is building a generalized QA interface enabling knowledge synthesis over complex questions.

- Plugging a LangChain RAG pipeline as a tool into a CrewAI agent setup enables even more sophisticated/advanced research flows

## ✈️ Run the App

- Fork or Clone the Repo

- Get and Put your `GROQ_API` in `.streamlit/secrets.toml`

- Run : `streamlit run blog_app.py`