Upload 4 files

app/main.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from typing import List
+app = FastAPI()
+
+class TextInput(BaseModel):
+    InputText: str # python casing??????
+
+def emotion_detection(str1: str) -> str:
+    from transformers import pipeline
+    pipe = pipeline(model="distilbert-base-uncased-finetuned-sst-2-english")
+    expected=(pipe(str1))
+    return expected[0].get('label')    
+
+@app.post("/generate-emotion/")
+async def detect_emotion(input_data: TextInput):
+    text1 = input_data.InputText
+    emotion= emotion_detection(text1)
+    response={"Text Entered":text1,"emotion":emotion}
+    return response

dockerized.dockerfile

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+# 
+FROM python:3.11
+ENV PYTHONUNBUFFERED 1
+#                                                                                                                                                                               
+WORKDIR /Karen_python
+
+# 
+COPY ./requirements.txt /code/requirements.txt
+
+# 
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+# 
+COPY ./app /code/app
+
+# 
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

requirements.txt

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+transformers[torch]
+fastapi
+uvicorn[standard]
+nltk