Add Dockerfile for containerization of the AI application; include environment setup, dependencies, and FastAPI configuration. Create comprehensive documentation in readme.github.md detailing features, project structure, API endpoints, and development instructions. Replace existing README.md with a simplified version for Hugging Face Spaces deployment.

dockerfile → Dockerfile

@@ -12,7 +12,7 @@ FROM python:3.11-slim
 # Prevents Python from writing .pyc files (not needed in containers) and ensures logs are output directly.
 
 # 3. Set the working directory in the container
-WORKDIR /app
+WORKDIR /src
 
 # What is this?
 # All subsequent commands will run in /app. Keeps the container organized.
@@ -44,19 +44,19 @@ RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 # 6. Copy the rest of the application code
 COPY ./src ./src
-COPY ./readme.md .
+COPY ./README.md .
 
 # What is this?
 # Copies your source code and readme into the container.
 
 # 7. Expose the port FastAPI will run on
-EXPOSE 80
+EXPOSE 7860
 
 # What is this?
 # Documents that the container will listen on port 8080 (matches your uvicorn command).
 
 # 8. Set the default command to run the FastAPI app
-CMD ["fastapi", "run", "src/main.py", "--port", "80"]
+CMD ["fastapi", "run", "src/main.py", "--port", "7860"]
 
 # What is this?
 # This starts your FastAPI app using Uvicorn, making it accessible from outside the container.

README.md

@@ -0,0 +1,19 @@
+---
+title: AI Assistant
+emoji: ⚡
+colorFrom: gray
+colorTo: yellow
+sdk: docker
+app_port: 7860
+pinned: false
+short_description: AI Assistant web app using Docker
+tags:
+  - ai
+  - assistant
+  - docker
+  - huggingface-space
+---
+
+# AI Assistant
+
+This is a web application for an AI assistant, built using Docker and deployed on Hugging Face Spaces.

readme.md

@@ -1,12 +0,0 @@
----
-title: { { title } }
-emoji: { { emoji } }
-colorFrom: { { colorFrom } }
-colorTo: { { colorTo } }
-sdk: { { sdk } }
-sdk_version: "{{sdkVersion}}"
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference