Update README.
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## ⚡ Project Overview
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**"WeiYu"** is an innovative multi-agent public opinion analysis system built from scratch, not limited to Weibo, and features universal simplicity and applicability across all platforms.
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**"BettaFish"** is an innovative multi-agent public opinion analysis system built from scratch. It helps break information cocoons, restore the original public sentiment, predict future trends, and assist decision-making. Users only need to raise analysis needs like chatting; the agents automatically analyze 30+ mainstream social platforms at home and abroad and millions of public comments.
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> Betta is a small yet combative and beautiful fish, symbolizing "small but powerful, fearless of challenges".
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See the system-generated research report on "Wuhan University Public Opinion": [In-depth Analysis Report on Wuhan University's Brand Reputation](./final_reports/final_report__20250827_131630.html)
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@@ -103,10 +105,7 @@ Weibo_PublicOpinion_AnalysisSystem/
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├── InsightEngine/ # Private database mining Agent
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│ ├── agent.py # Agent main logic
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│ ├── llms/ # LLM interface wrapper
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│ │ ├── deepseek.py # DeepSeek API
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│ │ ├── kimi.py # Kimi API
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│ │ ├── openai_llm.py # OpenAI format API
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│ │ └── base.py # LLM base class
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│ │ └── base.py # Unified OpenAI-compatible client
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│ ├── nodes/ # Processing nodes
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│ │ ├── base_node.py # Base node class
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│ │ ├── formatting_node.py # Formatting node
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├── ReportEngine/ # Multi-round report generation Agent
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│ ├── agent.py # Agent main logic
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│ ├── llms/ # LLM interfaces
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│ │ └── gemini.py # Gemini API dedicated
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│ ├── nodes/ # Report generation nodes
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│ │ ├── template_selection.py # Template selection node
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│ │ └── html_generation.py # HTML generation node
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@@ -230,7 +228,7 @@ playwright install chromium
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#### 4.1 Configure API Keys
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Edit the `config.py` file and fill in your API keys (you can also choose your own models and search proxies; please see the config file for details):
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Edit the `config.py` file and fill in your API keys (you can also choose your own models and search proxies; see the config file for details):
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```python
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# MySQL Database Configuration
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@@ -238,26 +236,18 @@ DB_HOST = "localhost"
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DB_PORT = 3306
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DB_USER = "your_username"
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DB_PASSWORD = "your_password"
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DB_NAME = "weibo_analysis"
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DB_NAME = "your_db_name"
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DB_CHARSET = "utf8mb4"
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# DeepSeek API (Apply at: https://www.deepseek.com/)
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DEEPSEEK_API_KEY = "your_deepseek_api_key"
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# LLM configuration
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# You can switch each Engine's LLM provider as long as it follows the OpenAI-compatible request format
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# Tavily Search API (Apply at: https://www.tavily.com/)
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TAVILY_API_KEY = "your_tavily_api_key"
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# Kimi API (Apply at: https://www.kimi.com/)
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KIMI_API_KEY = "your_kimi_api_key"
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# Gemini API (Apply at: https://api.chataiapi.com/)
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GEMINI_API_KEY = "your_gemini_api_key"
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# Bocha Search API (Apply at: https://open.bochaai.com/)
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BOCHA_Web_Search_API_KEY = "your_bocha_api_key"
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# Silicon Flow API (Apply at: https://siliconflow.cn/)
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GUIJI_QWEN3_API_KEY = "your_guiji_api_key"
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# Insight Agent
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INSIGHT_ENGINE_API_KEY = "your_api_key"
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INSIGHT_ENGINE_BASE_URL = "https://api.moonshot.cn/v1"
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INSIGHT_ENGINE_MODEL_NAME = "kimi-k2-0711-preview"
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# Media Agent
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...
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```
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#### 4.2 Database Initialization
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@@ -373,30 +363,28 @@ SENTIMENT_CONFIG = {
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### Integrate Different LLM Models
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The system supports multiple LLM providers, switchable in each agent's configuration:
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The system supports any LLM provider that follows the OpenAI request format. You only need to fill in KEY, BASE_URL, and MODEL_NAME in `config.py`.
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```python
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# Configure in each Engine's utils/config.py
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class Config:
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default_llm_provider = "deepseek" # Options: "deepseek", "openai", "kimi", "gemini", "qwen"
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# DeepSeek configuration
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deepseek_api_key = "your_api_key"
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deepseek_model = "deepseek-chat"
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# OpenAI compatible configuration
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openai_api_key = "your_api_key"
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openai_model = "gpt-3.5-turbo"
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openai_base_url = "https://api.openai.com/v1"
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# Kimi configuration
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kimi_api_key = "your_api_key"
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kimi_model = "moonshot-v1-8k"
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# Gemini configuration
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gemini_api_key = "your_api_key"
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gemini_model = "gemini-pro"
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```
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> What is the OpenAI request format? Here's a simple example:
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>```python
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>from openai import OpenAI
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>
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>client = OpenAI(api_key="your_api_key",
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> base_url="https://api.siliconflow.cn/v1")
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>
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>response = client.chat.completions.create(
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> model="Qwen/Qwen2.5-72B-Instruct",
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> messages=[
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> {
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> 'role': 'user',
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> 'content': "What new opportunities will reasoning models bring to the market?"
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> }
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> ],
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>)
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>
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>complete_response = response.choices[0].message.content
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>print(complete_response)
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>```
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### Change Sentiment Analysis Models
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