Spaces:
Sleeping
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Adding economic forcast agent
Browse files- .gitignore +11 -0
- Dockerfile +13 -0
- agent.yaml +15 -0
- app.py +51 -0
- requirements.txt +3 -0
.gitignore
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# virtual environment
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venv/
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# environment variables
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.env
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# build
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build/
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# logs
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logs/
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Dockerfile
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FROM python:3.10-slim
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WORKDIR /app
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# Install dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of your code
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COPY . .
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# Expose the agent on port 7860
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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agent.yaml
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name: collective-intelligence-economic-forecast-agent
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description: |
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An MCP agent that evaluates the economic impact of environmental or crisis scenarios.
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Part of the Collective Intelligence Network project.
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authors:
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- name: Dushyant Kashyap
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tags:
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- mcp
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- agent
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- economic
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- forecast
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parameters:
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- name: input
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type: string
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description: Description of an environmental or socio-political scenario.
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app.py
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from fastapi import FastAPI
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from pydantic import BaseModel
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app = FastAPI()
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class InputData(BaseModel):
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input: str
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@app.post("/agent")
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async def run_agent(data: InputData):
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text = data.input.lower()
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if "flood" in text or "storm" in text:
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impact = {
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"estimated_gdp_loss_percent": 1.5,
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"sectors_affected": ["agriculture", "logistics", "insurance"],
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"recovery_time_months": 6,
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"notes": "Flooding likely to disrupt food supply chains and increase insurance claims."
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}
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elif "heatwave" in text or "wildfire" in text:
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impact = {
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"estimated_gdp_loss_percent": 0.8,
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"sectors_affected": ["energy", "healthcare", "construction"],
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"recovery_time_months": 4,
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"notes": "Heatwaves increase healthcare load and reduce construction productivity."
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}
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elif "pollution" in text or "emissions" in text:
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impact = {
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"estimated_gdp_loss_percent": 0.3,
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"sectors_affected": ["manufacturing", "public health"],
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"recovery_time_months": 2,
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"notes": "Pollution regulations may temporarily reduce industrial output but save long-term healthcare costs."
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}
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else:
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impact = {
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"estimated_gdp_loss_percent": 0.1,
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"sectors_affected": ["general"],
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"recovery_time_months": 1,
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"notes": "No significant economic disruption detected. Monitoring advised."
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}
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return {
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"output": {
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"economic_impact_forecast": impact,
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"summary": f"Forecast generated for scenario: '{data.input[:50]}...'"
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}
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}
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@app.get("/")
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async def healthcheck():
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return {"message": "Economic Forecast Agent is alive"}
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requirements.txt
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fastapi==0.110.0
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uvicorn==0.29.0
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pydantic==2.6.4
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