Upload 4 files

Dockerfile

@@ -0,0 +1,9 @@
+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY . /app
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -0,0 +1,22 @@
+from fastapi import FastAPI, Request
+from pydantic import BaseModel
+import joblib
+
+app = FastAPI()
+
+# Load the model
+with open("roberta_model.pkl", "rb") as f:
+    model = joblib.load(f)
+
+class InputText(BaseModel):
+    text: str
+
+@app.post("/predict")
+def predict(data: InputText):
+    input_text = data.text
+    inputs = model["tokenizer"](input_text, return_tensors="pt", padding=True, truncation=True)
+    with model["torch"].no_grad():
+        outputs = model["model"](**inputs)
+    logits = outputs.logits
+    predictions = logits.argmax(dim=1).tolist()
+    return {"predictions": predictions}

requirements.txt

@@ -0,0 +1,5 @@
+fastapi==0.95.2
+uvicorn==0.22.0
+transformers==4.40.1
+torch
+joblib

roberta_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83acce8cff053ecb1dd5f36bf2fad7bc51ee4720e1d17b0c43afa1b029264ec3
+size 11