Create App.py

App.py

@@ -0,0 +1,22 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+import uvicorn
+
+class CodeRequest(BaseModel):
+    prompt: str
+
+app = FastAPI()
+
+model = GPT2LMHeadModel.from_pretrained('./codegen_model')
+tokenizer = GPT2Tokenizer.from_pretrained('./codegen_model')
+
+@app.post("/generate-code/")
+def generate_code(request: CodeRequest):
+    inputs = tokenizer.encode(request.prompt, return_tensors='pt')
+    outputs = model.generate(inputs, max_length=150, num_return_sequences=1)
+    generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return {"generated_code": generated_code}
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8000)