comit

Dockerfile

@@ -1,16 +1,17 @@
-# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
-# you will also find guides on how best to write your Dockerfile
+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
 
-FROM python:3.9
+# Set the working directory in the container
+WORKDIR /app
 
-RUN useradd -m -u 1000 user
-USER user
-ENV PATH="/home/user/.local/bin:$PATH"
+# Copy all the files into the container
+COPY . /app
 
-WORKDIR /app
+# Install required Python packages
+RUN pip install --no-cache-dir fastapi uvicorn pandas pydantic
 
-COPY --chown=user ./requirements.txt requirements.txt
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
+# Expose the port FastAPI runs on
+EXPOSE 7860
 
-COPY --chown=user . /app
+# Command to run the application
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

requirements.txt

@@ -1,3 +1,6 @@
 fastapi[standard]
 pandas
+uvicorn 
+pydantic
+
 

services/population.py

@@ -11,7 +11,7 @@ from population.utils.logger import logger
 from fastapi import HTTPException
 from population.models.schemas import ContinentPopulationResponse, CountryPopulation
 
-file_path = "D:/pandas/world_population (1).csv"
+file_path = "D:/backapp/world_population.csv"
 
 # Load the CSV file
 try:

utils/logger.py

@@ -2,7 +2,7 @@ import logging
 import os
 
 # Ensure the 'logs' directory exists
-log_dir = "D:/pydantic/new/logs"
+log_dir = "D:/backapp/population/logs"
 os.makedirs(log_dir, exist_ok=True)
 
 # Configure logging