Add FastAPI app for report generation with Docker support

Implement a modular FastAPI-based service for generating research reports using `GPTResearcher`. Includes secure API key authentication, a streaming response endpoint, and a Dockerized deployment setup. Also adds documentation, core dependencies, and project structure.

Dockerfile

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+# Use the official Python image as a base
+FROM python:3.13-slim
+
+# Set environment variable for Python
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+
+# Set working directory within the container
+WORKDIR /app
+
+# Copy the requirements file if you have it (or define dependencies manually)
+# If you don't have a requirements.txt, let me know and I'll guide you further
+COPY requirements.txt .
+
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the project files into the container
+COPY src/ /app/
+
+# Expose the port that FastAPI will run on
+EXPOSE 8000
+
+# Set the default command to run the app with `uvicorn`
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]