transformer_api / app.py
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Update app.py
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from fastapi import FastAPI
from pydantic import BaseModel
from Similarity import Similarity
app = FastAPI()
similarity_model = Similarity()
# Define the Pydantic model BEFORE using it
class TextPairRequest(BaseModel):
text: str
claim: str
@app.post("/get_sim_text")
def get_sim_text_endpoint(request: TextPairRequest):
try:
claim_embedding = similarity_model.model.encode(
request.claim,
convert_to_tensor=True,
show_progress_bar=False
)
results = similarity_model.get_sim_text(
request.text,
claim_embedding
)
return {"result": results}
except Exception as e:
return {"error": str(e)}