Update Redme and Docker file

Dockerfile

@@ -18,12 +18,11 @@ RUN apt-get update && \
     software-properties-common && \
     rm -rf /var/lib/apt/lists/*    
 
-# Install Python dependencies
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt && \
-    pip install --no-cache-dir spacy torch onnxruntime uvicorn && \
-    python -m spacy download en_core_web_sm
-    # pip install --no-cache-dir spacy torch torchvision torchaudio onnxruntime uvicorn && \
+# Copy the application code
+COPY . .
+
+# Install Crawl4AI using the local setup.py (which will use the default installation)
+RUN pip install --no-cache-dir .
 
 # Install Google Chrome and ChromeDriver
 RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - && \
@@ -33,35 +32,27 @@ RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key
     wget -O /tmp/chromedriver.zip http://chromedriver.storage.googleapis.com/`curl -sS chromedriver.storage.googleapis.com/LATEST_RELEASE`/chromedriver_linux64.zip && \
     unzip /tmp/chromedriver.zip chromedriver -d /usr/local/bin/
 
-# Copy the rest of the application code
-COPY . .
-
 # Set environment to use Chrome and ChromeDriver properly
 ENV CHROME_BIN=/usr/bin/google-chrome \
     CHROMEDRIVER=/usr/local/bin/chromedriver \
     DISPLAY=:99 \
     DBUS_SESSION_BUS_ADDRESS=/dev/null \
     PYTHONUNBUFFERED=1
 
-#  pip install -e .[all]
-RUN pip install --no-cache-dir -e .[all]
-
 # Ensure the PATH environment variable includes the location of the installed packages
 ENV PATH /opt/conda/bin:$PATH   
 
 # Make port 80 available to the world outside this container
 EXPOSE 80
 
 # Download models call cli "crawl4ai-download-models"
-RUN crawl4ai-download-models
+# RUN crawl4ai-download-models
 
-# Instakk mkdocs
+# Install mkdocs
 RUN pip install mkdocs mkdocs-terminal
 
 # Call mkdocs to build the documentation
 RUN mkdocs build
 
 # Run uvicorn
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--workers", "4"]
-
-
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--workers", "4"]

README.md

@@ -52,6 +52,13 @@ result = crawler.run(url="https://www.nbcnews.com/business")
 print(result.markdown)
 ```
 
+## How to install 🛠    
+```bash
+virtualenv venv
+source venv/bin/activate
+pip install "crawl4ai @ git+https://github.com/unclecode/crawl4ai.git"
+```️
+
 ### Speed-First Design 🚀
 
 Perhaps the most important design principle for this library is speed. We need to ensure it can handle many links and resources in parallel as quickly as possible. By combining this speed with fast LLMs like Groq, the results will be truly amazing.