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# app/main.py
import uvicorn
from fastapi import FastAPI, HTTPException, File, UploadFile
from pydantic import BaseModel
from app import models, openai_integration
app = FastAPI(title="Materials AI Extraction API")
# Pydantic models for request/response bodies
class ExtractionRequest(BaseModel):
text: str
class QueryRequest(BaseModel):
query: str
class SummarizeRequest(BaseModel):
text: str
@app.post("/extract")
async def extract_data(request: ExtractionRequest):
try:
# Use our domain-specific model (e.g. MatSciBERT or BatteryBERT) for token classification
extracted = models.extract_entities(request.text)
return {"entities": extracted}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/query")
async def query_data(request: QueryRequest):
try:
# This endpoint performs a Q&A on the provided query using the domain models
answer = models.answer_question(request.query)
return {"answer": answer}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/summarize")
async def summarize(request: SummarizeRequest):
try:
summary = openai_integration.generate_summary(request.text)
return {"summary": summary}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
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