Update Dockerfile

Dockerfile

@@ -1,157 +1,70 @@
-# libraries
-from flask import Flask, render_template, request, redirect, url_for, flash, session, send_from_directory
-import os
-import logging
-from utility.utils import extract_text_from_images, Data_Extractor, json_to_llm_str, process_extracted_text, process_resume_data
-from backup.backup import NER_Model
-from paddleocr import PaddleOCR
-
-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    handlers=[
-        logging.StreamHandler()  # Remove FileHandler and log only to the console
-    ]
-)
-
-# Flask App
-app = Flask(__name__)
-app.secret_key = 'your_secret_key'
-app.config['UPLOAD_FOLDER'] = 'uploads/'
-app.config['RESULT_FOLDER'] = 'uploads/'
-
-UPLOAD_FOLDER = 'static/uploads/'
-RESULT_FOLDER = 'static/results/'
-os.makedirs(UPLOAD_FOLDER, exist_ok=True)
-os.makedirs(RESULT_FOLDER, exist_ok=True)
-
-if not os.path.exists(app.config['UPLOAD_FOLDER']):
-    os.makedirs(app.config['UPLOAD_FOLDER'])
-
-if not os.path.exists(app.config['RESULT_FOLDER']):
-    os.makedirs(app.config['RESULT_FOLDER'])
-
-# Set the PaddleOCR home directory to a writable location
-os.environ['PADDLEOCR_HOME'] = '/tmp/.paddleocr' 
-
-# Check if PaddleOCR home directory is writable
-if not os.path.exists('/tmp/.paddleocr'):
-    os.makedirs('/tmp/.paddleocr', exist_ok=True)
-    logging.info("Created PaddleOCR home directory.")
-else:
-    logging.info("PaddleOCR home directory exists.")
-
-@app.route('/')
-def index():
-    uploaded_files = session.get('uploaded_files', [])
-    logging.info(f"Accessed index page, uploaded files: {uploaded_files}")
-    return render_template('index.html', uploaded_files=uploaded_files)
-
-@app.route('/upload', methods=['POST'])
-def upload_file():
-    if 'files' not in request.files:
-        flash('No file part')
-        logging.warning("No file part found in the request")
-        return redirect(request.url)
-
-    files = request.files.getlist('files')  
-    if not files or all(file.filename == '' for file in files):
-        flash('No selected files')
-        logging.warning("No files selected for upload")
-        return redirect(request.url)
-
-    uploaded_files = session.get('uploaded_files', [])
-    for file in files:
-        if file:
-            filename = file.filename
-            file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
-            file.save(file_path)
-            uploaded_files.append(filename)
-            logging.info(f"Uploaded file: {filename} at {file_path}")
-
-    session['uploaded_files'] = uploaded_files  
-    flash('Files successfully uploaded')
-    logging.info(f"Files successfully uploaded: {uploaded_files}")
-    return redirect(url_for('index'))
-
-@app.route('/remove_file')
-def remove_file():
-    uploaded_files = session.get('uploaded_files', [])
-    for filename in uploaded_files:
-        file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
-        if os.path.exists(file_path):
-            os.remove(file_path)
-            logging.info(f"Removed file: {filename}")
-        else:
-            logging.warning(f"File not found for removal: {file_path}")  # More specific log
-
-    session.pop('uploaded_files', None)  
-    flash('Files successfully removed')
-    logging.info("All uploaded files removed")
-    return redirect(url_for('index'))
-
-@app.route('/process', methods=['POST'])
-def process_file():
-    uploaded_files = session.get('uploaded_files', [])
-    if not uploaded_files:
-        flash('No files selected for processing')
-        logging.warning("No files selected for processing")
-        return redirect(url_for('index'))
-
-    file_paths = [os.path.join(app.config['UPLOAD_FOLDER'], filename) for filename in uploaded_files]
-    logging.info(f"Processing files: {file_paths}")
-
-    extracted_text = {}
-    processed_Img = {}
-
-    try:
-        extracted_text, processed_Img = extract_text_from_images(file_paths, RESULT_FOLDER)
-        logging.info(f"Extracted text: {extracted_text}")
-        logging.info(f"Processed images: {processed_Img}")
-
-        llmText = json_to_llm_str(extracted_text)
-        logging.info(f"LLM text: {llmText}")
-        
-        LLMdata = Data_Extractor(llmText)
-        logging.info(f"LLM data: {LLMdata}")
-
-    except Exception as e:
-        logging.error(f"Error during LLM processing: {e}")
-        logging.info("Running backup model...")
-
-        LLMdata = {}
-       
-        if extracted_text:
-            text = json_to_llm_str(extracted_text)
-            LLMdata = NER_Model(text)
-            logging.info(f"NER model data: {LLMdata}")
-        else:
-            logging.warning("No extracted text available for backup model")
-
-    cont_data = process_extracted_text(extracted_text)
-    logging.info(f"Contextual data: {cont_data}")
-
-    processed_data = process_resume_data(LLMdata, cont_data, extracted_text)
-    logging.info(f"Processed data: {processed_data}")
-
-    session['processed_data'] = processed_data
-    session['processed_Img'] = processed_Img
-    flash('Data processed and analyzed successfully')
-    logging.info("Data processed and analyzed successfully")
-    return redirect(url_for('result'))
-
-@app.route('/result')
-def result():
-    processed_data = session.get('processed_data', {})
-    processed_Img = session.get('processed_Img', {})
-    logging.info(f"Displaying results: Data - {processed_data}, Images - {processed_Img}")
-    return render_template('result.html', data=processed_data, Img=processed_Img)
-
-@app.route('/uploads/<filename>')
-def uploaded_file(filename):
-    logging.info(f"Serving file: {filename}")
-    return send_from_directory(app.config['UPLOAD_FOLDER'], filename)
-
-if __name__ == '__main__':
-    logging.info("Starting Flask app")
-    app.run(debug=True)
+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
+
+# Set environment variables for Python
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+
+# Set environment variables for Hugging Face cache to /tmp (which is writable)
+ENV TRANSFORMERS_CACHE=/tmp/huggingface
+ENV HF_HOME=/tmp/huggingface
+
+# Ensure permissions are correct for /tmp/huggingface (optional, but just in case)
+RUN mkdir -p /tmp/huggingface && chmod -R 777 /tmp/huggingface
+
+# Create cache directories for Hugging Face and Matplotlib
+RUN mkdir -p /app/.cache/huggingface /app/.cache/matplotlib
+
+# Set environment variables for Hugging Face and Matplotlib cache
+ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
+ENV HF_HOME=/app/.cache/huggingface
+ENV MPLCONFIGDIR=/app/.cache/matplotlib
+
+# Adding permission for the cache
+RUN chmod -R 777 /app/.cache
+
+# Give write permissions to the /app directory
+RUN chmod -R 777 /app
+
+# Create /app/logs directory and set permissions for logging
+RUN mkdir -p /app/logs && chmod -R 777 /app/logs
+
+# Set the working directory
+WORKDIR /app
+
+# Install system dependencies, including libgomp
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libgomp1 \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set environment variables for Matplotlib and Hugging Face cache directories
+ENV MPLCONFIGDIR=/tmp/matplotlib
+ENV TRANSFORMERS_CACHE=/tmp/transformers_cache
+
+# Copy the requirements file into the container at /app
+COPY requirements.txt /app/
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+# Create directories for session storage, uploads, and cache
+RUN mkdir -p /app/flask_sessions /app/uploads /tmp/matplotlib /tmp/transformers_cache && chmod -R 777 /app/flask_sessions /app/uploads /tmp/matplotlib /tmp/transformers_cache
+
+# Set permission for the Paddle OCR
+ENV PADDLEOCR_MODEL_DIR=/tmp/.paddleocr
+RUN mkdir -p /tmp/.paddleocr && chmod -R 777 /tmp/.paddleocr
+
+# Copy the rest of the application code to /app
+COPY . /app/
+
+# Expose the port that the app runs on
+EXPOSE 7860
+
+# Set environment variables for Flask
+ENV FLASK_APP=app.py
+ENV FLASK_ENV=production
+
+# Command to run the Flask app using Gunicorn with 1 worker
+CMD ["gunicorn", "--workers=1", "--bind=0.0.0.0:7860", "--timeout=120", "app:app"]