Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1ewSnt_PQx8cX9GC2XAguVNesbn8MM3tA
+"""
+
+
+
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import RobertaTokenizer, RobertaForMaskedLM, pipeline
+
+app = FastAPI()
+
+
+model_name = "web3se/SmartBERT-v3"
+tokenizer = RobertaTokenizer.from_pretrained(model_name)
+model = RobertaForMaskedLM.from_pretrained(model_name)
+
+# Create fill-mask pipeline
+fill_mask = pipeline('fill-mask', model=model, tokenizer=tokenizer)
+
+# Define request body
+class ContractRequest(BaseModel):
+    contract_code: str
+
+@app.post("/analyze/")
+async def analyze_contract(request: ContractRequest):
+    # Use fill-mask on contract code
+    outputs = fill_mask(request.contract_code)
+
+    return {"predictions": outputs}  # Returns top masked token predictions
+
+
+# Run API on Hugging Face Spaces
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)
+