Proxy kernel manager and make ports configurable.

README.md

@@ -30,5 +30,10 @@ $ gptcode
 ### Using .env for OpenAI key
 You can put a .env in the working directory to load the `OPENAI_API_KEY` environment variable.
 
+### Configurables
+Set the `API_PORT` and `WEB_PORT` variables to override the defaults.
+
+Set `OPENAI_BASE_URL` to change the OpenAI API endpoint that's being used (note this environment variable includes the protocol `https://...`).
+
 ## Contributing
 Please do and have a look at the [contributions guide](.github/CONTRIBUTING.md)! This should be a community initiative. I'll try my best to be responsive.

frontend/src/config.tsx

@@ -1,6 +1,8 @@
+let resolvedWebAddress = import.meta.env.VITE_WEB_ADDRESS ? import.meta.env.VITE_WEB_ADDRESS : "";
+
 const Config = {
-    WEB_ADDRESS: "http://localhost:8080",
-    API_ADDRESS: "http://localhost:5010"
+    WEB_ADDRESS: resolvedWebAddress,
+    API_ADDRESS: resolvedWebAddress + "/api"
 }
 
 export default Config;

gpt_code_ui/kernel_program/main.py

@@ -20,7 +20,7 @@
 import gpt_code_ui.kernel_program.config as config
 import gpt_code_ui.kernel_program.utils as utils
 
-APP_PORT = 5010
+APP_PORT = int(os.environ.get("API_PORT", 5010))
 
 # Get global logger
 logger = config.get_logger()

gpt_code_ui/webapp/main.py

@@ -10,9 +10,11 @@
 from collections import deque
 
 from flask_cors import CORS
-from flask import Flask, request, jsonify, send_from_directory
+from flask import Flask, request, jsonify, send_from_directory, Response
 from dotenv import load_dotenv
 
+from gpt_code_ui.kernel_program.main import APP_PORT as KERNEL_APP_PORT
+
 load_dotenv('.env')
 
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
@@ -21,7 +23,9 @@
 UPLOAD_FOLDER = 'workspace/'
 os.makedirs(UPLOAD_FOLDER, exist_ok=True)
 
-APP_PORT = 8080
+
+APP_PORT = int(os.environ.get("WEB_PORT", 8080))
+
 
 class LimitedLengthString:
     def __init__(self, maxlen=2000):
@@ -43,6 +47,7 @@ def get_string(self):
 
 message_buffer = LimitedLengthString()
 
+
 def allowed_file(filename):
     return True
 
@@ -70,7 +75,7 @@ async def get_code(user_prompt, user_openai_key=None, model="gpt-3.5-turbo"):
         "Content-Type": "application/json",
         "Authorization": f"Bearer {final_openai_key}",
     }
-    
+
     response = requests.post(
         f"{OPENAI_BASE_URL}/v1/chat/completions",
         data=json.dumps(data),
@@ -110,9 +115,31 @@ def extract_code(text):
 
 @app.route('/')
 def index():
+
+    # Check if index.html exists in the static folder
+    if not os.path.exists(os.path.join(app.root_path, 'static/index.html')):
+        print("index.html not found in static folder. Exiting. Did you forget to run `make compile_frontend` before installing the local package?")
+
     return send_from_directory('static', 'index.html')
 
 
+@app.route('/api/<path:path>', methods=["GET", "POST"])
+def proxy_kernel_manager(path):
+    if request.method == "POST":
+        resp = requests.post(
+            f'http://localhost:{KERNEL_APP_PORT}/{path}', json=request.get_json())
+    else:
+        resp = requests.get(f'http://localhost:{KERNEL_APP_PORT}/{path}')
+
+    excluded_headers = ['content-encoding',
+                        'content-length', 'transfer-encoding', 'connection']
+    headers = [(name, value) for (name, value) in resp.raw.headers.items()
+               if name.lower() not in excluded_headers]
+
+    response = Response(resp.content, resp.status_code, headers)
+    return response
+
+
 @app.route('/assets/<path:path>')
 def serve_static(path):
     return send_from_directory('static/assets/', path)

setup.py

@@ -7,7 +7,7 @@
 
 setup(
     name='gpt_code_ui',
-    version='0.42.17',
+    version='0.42.18',
     description="An Open Source version of ChatGPT Code Interpreter",
     long_description=long_description,
     long_description_content_type='text/markdown',  # This field specifies the format of the `long_description`.