HF Spaces

.gitignore

@@ -0,0 +1,30 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Environment variables
+.env
+
+# Misc
+.DS_Store
+.vscode/
+.idea/
+*.swp
+*.swo

Dockerfile

@@ -0,0 +1,14 @@
+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+# Expose the port that FastAPI will run on
+EXPOSE 7860
+
+# Command to run the FastAPI application
+CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -23,3 +23,20 @@ uvicorn api:app --reload --host 0.0.0.0 --port 8000
 ---
 
 **Do not commit your real `.env` file! Use `.env.example` for reference.**
+
+---
+
+## Hugging Face Spaces Configuration
+
+The following configuration is for deploying to Hugging Face Spaces:
+
+```yaml
+title: ChatDocxAI
+emoji: 📄
+colorFrom: indigo
+colorTo: blue
+sdk: gradio
+pinned: false
+```
+
+For a FastAPI backend with Gradio interface on Hugging Face Spaces.

api.py

@@ -27,7 +27,9 @@ app = FastAPI()
 # Define the specific origins that are allowed to make requests to your API
 origins = [
     "http://localhost:3000",  # For local development
-    "https://chat-docx-ai-vercel.vercel.app", 
+    "https://chat-docx-ai-vercel.vercel.app",
+    "https://huggingface.co",  # Hugging Face Spaces domain
+    "https://codegeass321-chatdocxai.hf.space",  # Your specific HF space
 ]
 
 app.add_middleware(
@@ -47,7 +49,7 @@ async def options_upload():
     return JSONResponse(
         content={"status": "ok"},
         headers={
-            "Access-Control-Allow-Origin": "https://chat-docx-ai-vercel.app",
+            "Access-Control-Allow-Origin": "*",
             "Access-Control-Allow-Methods": "POST, OPTIONS",
             "Access-Control-Allow-Headers": "Content-Type, Authorization",
         },
@@ -57,7 +59,7 @@ async def options_upload():
 @app.post("/upload")
 async def upload(files: List[UploadFile] = File(...)):
     headers = {
-        "Access-Control-Allow-Origin": "https://chat-docx-ai-vercel.app"
+        "Access-Control-Allow-Origin": "*"
     }
     try:
         if not files:

app.py

@@ -0,0 +1,49 @@
+import gradio as gr
+from api import app
+import uvicorn
+import threading
+import time
+
+# Create a simple Gradio interface
+def create_interface():
+    with gr.Blocks(title="ChatDocxAI Backend") as interface:
+        gr.Markdown("# ChatDocxAI Backend")
+        gr.Markdown("""
+        This is the backend server for ChatDocxAI. It provides the following endpoints:
+        
+        - `/upload` - Upload documents
+        - `/ask` - Ask questions about uploaded documents
+        
+        The frontend should be configured to communicate with this backend.
+        """)
+
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("## Server Status")
+                status = gr.Textbox(value="Server is running", label="Status")
+                
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("## API Documentation")
+                doc_link = gr.HTML(f"<a href='/docs' target='_blank'>View FastAPI Docs</a>")
+    
+    return interface
+
+# Function to start FastAPI in a separate thread
+def start_fastapi():
+    uvicorn.run(app, host="0.0.0.0", port=7860)
+
+# Start FastAPI in a separate thread
+fastapi_thread = threading.Thread(target=start_fastapi)
+fastapi_thread.daemon = True
+fastapi_thread.start()
+
+# Allow some time for FastAPI to start
+time.sleep(2)
+
+# Create and launch the Gradio interface
+interface = create_interface()
+
+# Launch the interface with Gradio defaults (no specific port)
+if __name__ == "__main__":
+    interface.launch()

app_gradio.py

@@ -0,0 +1,49 @@
+import gradio as gr
+from api import app
+import uvicorn
+import threading
+import time
+
+# Create a simple Gradio interface
+def create_interface():
+    with gr.Blocks(title="ChatDocxAI Backend") as interface:
+        gr.Markdown("# ChatDocxAI Backend")
+        gr.Markdown("""
+        This is the backend server for ChatDocxAI. It provides the following endpoints:
+        
+        - `/upload` - Upload documents
+        - `/ask` - Ask questions about uploaded documents
+        
+        The frontend should be configured to communicate with this backend.
+        """)
+
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("## Server Status")
+                status = gr.Textbox(value="Server is running", label="Status")
+                
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("## API Documentation")
+                doc_link = gr.HTML(f"<a href='/docs' target='_blank'>View FastAPI Docs</a>")
+    
+    return interface
+
+# Function to start FastAPI in a separate thread
+def start_fastapi():
+    uvicorn.run(app, host="0.0.0.0", port=7860)
+
+# Start FastAPI in a separate thread
+fastapi_thread = threading.Thread(target=start_fastapi)
+fastapi_thread.daemon = True
+fastapi_thread.start()
+
+# Allow some time for FastAPI to start
+time.sleep(2)
+
+# Create and launch the Gradio interface
+interface = create_interface()
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch(server_port=7861)  # Use a different port than FastAPI