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Dockerfile

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+FROM python:3.9-slim
+
+WORKDIR /app
+
+COPY . /app
+
+RUN pip install -r requirements.txt
+
+CMD uvicorn main:app --reload --port=8000 --host=0.0.0.0

main.py

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+#Code
+from fastapi import FastAPI
+import nest_asyncio
+#from pyngrok import ngrok
+import uvicorn
+
+
+#from transformers import pipeline
+
+#model_path = "cardiffnlp/twitter-roberta-base-sentiment-latest"
+#sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)
+
+
+app = FastAPI()
+
+@app.get("/")
+async def root():
+    return {"message": "Hello World"}
+
+@app.get('/enwi')
+async def abc():
+  st = ''
+  for i in range(10):
+    st += str(i * 2) + " "
+
+  return st
+
+
+#@app.get('/sentiment/{intput_text}')
+#async def mlmodel(intput_text):
+#
+#  result = sentiment_task(intput_text)
+
+#  return result
+
+@app.get('/a/{name}/{password}')
+async def abc(name, password):
+
+  if int(password) == 123 and name == "abc":
+    return "Correct password"
+  else:
+    return "Incorrect Password"
+
+@app.get('/')
+async def home():
+  return "Hello Atom Camp"
+
+#ngrok_tunnel = ngrok.connect(8000)
+#print('Public URL:', ngrok_tunnel.public_url)
+nest_asyncio.apply()
+#uvicorn.run(app, port=8000)

requirements.txt

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+fastapi 
+nest-asyncio 
+pyngrok 
+uvicorn