Create api.py
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api.py
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from fastapi import FastAPI
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from pydantic import BaseModel
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from db import init_db, save_experiment, get_experiment
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from model_utils import generate_text, run_activation_patching
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app = FastAPI()
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init_db()
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class ExperimentInput(BaseModel):
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prompt: str
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@app.post("/generate")
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def generate(input: ExperimentInput):
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text = generate_text(input.prompt)
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activations = run_activation_patching(input.prompt)
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explanation = "Explanation generated by LangGraph agent"
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exp_id = save_experiment(input.prompt, text, str(activations), explanation)
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return {"id": exp_id, "generated_text": text, "activations": activations, "explanation": explanation}
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@app.get("/results/{id}")
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def get_results(id: int):
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row = get_experiment(id)
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if row:
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return {
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"id": row[0],
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"prompt": row[1],
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"generated_text": row[2],
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"activation_traces": row[3],
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"explanation": row[4],
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"timestamp": row[5]
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}
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return {"error": "Experiment not found"}
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