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Browse files- app/__init__.py +0 -0
- app/main.py +20 -0
- dockerized.dockerfile +17 -0
- requirements.txt +4 -0
app/__init__.py
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app/main.py
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from typing import List
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app = FastAPI()
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class TextInput(BaseModel):
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InputText: str # python casing??????
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def emotion_detection(str1: str) -> str:
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from transformers import pipeline
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pipe = pipeline(model="distilbert-base-uncased-finetuned-sst-2-english")
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expected=(pipe(str1))
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return expected[0].get('label')
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@app.post("/generate-emotion/")
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async def detect_emotion(input_data: TextInput):
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text1 = input_data.InputText
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emotion= emotion_detection(text1)
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response={"Text Entered":text1,"emotion":emotion}
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return response
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dockerized.dockerfile
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#
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FROM python:3.11
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ENV PYTHONUNBUFFERED 1
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#
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WORKDIR /Karen_python
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#
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COPY ./requirements.txt /code/requirements.txt
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#
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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#
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COPY ./app /code/app
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#
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
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requirements.txt
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transformers[torch]
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fastapi
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uvicorn[standard]
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nltk
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