diff --git a/README.md b/README.md index ad42423..f216960 100644 --- a/README.md +++ b/README.md @@ -26,10 +26,13 @@ See the [Examples](#-examples) section below for more demos. ## 🛠 Getting Started -The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API. +The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API or Google API key for Gemini Pro Vision. + +Model Configuration can also be found on the settings modal of the web ui. Run the backend (I use Poetry for package management - `pip install poetry` if you don't have it): +### Run with GPT-4 Vision ```bash cd backend echo "OPENAI_API_KEY=sk-your-key" > .env @@ -38,6 +41,17 @@ poetry shell poetry run uvicorn main:app --reload --port 7001 ``` +### Run with Gemini Pro Vision +You can also run this with Gemini Pro Vision by using the following command line instead: +```bash +cd backend +echo "GOOGLE_API_KEY=sk-your-key" >.env +poetry install +poetry shell +MODEL=gemini poetry run uvicorn main:app --reload --port 7001 +``` + + Run the frontend: ```bash diff --git a/backend/config.py b/backend/config.py index 7dd21f9..a0210c4 100644 --- a/backend/config.py +++ b/backend/config.py @@ -5,6 +5,8 @@ import os SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False)) +MODEL = os.environ.get("MODEL", 'gpt-4-vision') +IS_MODEL_GEMINI = MODEL == 'gemini' # Set to True when running in production (on the hosted version) # Used as a feature flag to enable or disable certain features diff --git a/backend/llm.py b/backend/llm.py index 66e3a47..5216438 100644 --- a/backend/llm.py +++ b/backend/llm.py @@ -1,9 +1,29 @@ -from typing import Awaitable, Callable, List +import io +from typing import Awaitable, Callable, List, Any from openai import AsyncOpenAI from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk +import google.generativeai as genai +from PIL import Image +import base64 +import os + MODEL_GPT_4_VISION = "gpt-4-vision-preview" +MODEL_GEMINI_PRO_VISION = "models/gemini-pro-vision" +async def format_messages_for_gemnini(messages: List[Any]): + system_promt = messages[0]['content'] + image_base64 = messages[1]['content'][0]['image_url']['url'] + additional_prompt = messages[1]['content'][1]['text'] + + base64_data = image_base64.split(",")[1] + decoded_bytes = base64.b64decode(base64_data) + + image_bytes = io.BytesIO(decoded_bytes) + + image = Image.open(image_bytes) + + return [system_promt, image, additional_prompt] async def stream_openai_response( messages: List[ChatCompletionMessageParam], @@ -34,3 +54,43 @@ async def stream_openai_response( await client.close() return full_response + +async def stream_gemini_response( + messages: List[Any] = [], + api_key: str = os.getenv('GOOGLE_API_KEY', ''), + callback: Callable[[str], Awaitable[None]] | None = None, +) -> str: + genai.configure(api_key=api_key) + + model = genai.GenerativeModel('gemini-pro-vision') + general_config = { + "max_output_tokens": 2048, + "temperature": 0.4, + "top_p": 1, + "top_k": 32 + } + + formatted_messages = await format_messages_for_gemnini(messages) + response = model.generate_content( + formatted_messages, + stream=True, + generation_config=general_config # type: ignore + ) + response.resolve() + result = response.text + + while "" not in result: + continue_prompt = "Generate the rest of the code below" + formatted_messages.append(continue_prompt) + formatted_messages.append(result) + + response = model.generate_content( + formatted_messages, + stream=True, + generation_config=general_config # type: ignore + ) + response.resolve() + + result += response.text + + return result diff --git a/backend/poetry.lock b/backend/poetry.lock index 84b3763..6eae240 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1,10 +1,9 @@ -# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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import ChatCompletionMessageParam from mock_llm import mock_completion from typing import Dict, List @@ -63,12 +63,17 @@ async def stream_code(websocket: WebSocket): # Get the OpenAI API key from the request. Fall back to environment variable if not provided. # If neither is provided, we throw an error. - openai_api_key = None + openai_api_key = os.getenv('OPENAI_API_KEY') + openai_base_url = None + google_api_key = os.getenv('GOOGLE_API_KEY') + model = 'model/gemini-pro-vision' if IS_MODEL_GEMINI else 'gpt-4-vision' + should_generate_images = False if "accessCode" in params and params["accessCode"]: print("Access code - using platform API key") res = await validate_access_token(params["accessCode"]) if res["success"]: openai_api_key = os.environ.get("PLATFORM_OPENAI_API_KEY") + google_api_key = os.environ.get("PLATFORM_GOOGLE_API_KEY") else: await websocket.send_json( { @@ -78,48 +83,54 @@ async def stream_code(websocket: WebSocket): ) return else: - if params["openAiApiKey"]: - openai_api_key = params["openAiApiKey"] - print("Using OpenAI API key from client-side settings dialog") + if params['model'] == 'models/gemini-pro-vision': + print('Using the Gemini Pro Vision Model') + model = params['model'] + google_api_key = params['googleApiKey'] else: - openai_api_key = os.environ.get("OPENAI_API_KEY") - if openai_api_key: - print("Using OpenAI API key from environment variable") + print('Using the GPT 4 Vision Model') + if params["openAiApiKey"]: + openai_api_key = params["openAiApiKey"] + print("Using OpenAI API key from client-side settings dialog") + else: + if openai_api_key: + print("Using OpenAI API key from environment variable") - if not openai_api_key: - print("OpenAI API key not found") + if (model == 'gpt-4-vision' and not openai_api_key) or (model == 'models/gemini-pro-vision' and not google_api_key): + print("API key not found") await websocket.send_json( { "type": "error", - "value": "No OpenAI API key found. Please add your API key in the settings dialog or add it to backend/.env file.", + "value": "No API key found. Please add your API key in the settings dialog or add it to backend/.env file.", } ) return - # Get the OpenAI Base URL from the request. Fall back to environment variable if not provided. - openai_base_url = None - # Disable user-specified OpenAI Base URL in prod - if not os.environ.get("IS_PROD"): - if "openAiBaseURL" in params and params["openAiBaseURL"]: - openai_base_url = params["openAiBaseURL"] - print("Using OpenAI Base URL from client-side settings dialog") - else: - openai_base_url = os.environ.get("OPENAI_BASE_URL") - if openai_base_url: - print("Using OpenAI Base URL from environment variable") + if model == 'gpt-4-vision': + # Get the OpenAI Base URL from the request. Fall back to environment variable if not provided. + openai_base_url = None + # Disable user-specified OpenAI Base URL in prod + if not os.environ.get("IS_PROD"): + if "openAiBaseURL" in params and params["openAiBaseURL"]: + openai_base_url = params["openAiBaseURL"] + print("Using OpenAI Base URL from client-side settings dialog") + else: + openai_base_url = os.environ.get("OPENAI_BASE_URL") + if openai_base_url: + print("Using OpenAI Base URL from environment variable") - if not openai_base_url: - print("Using official OpenAI URL") + if not openai_base_url: + print("Using official OpenAI URL") - # Get the image generation flag from the request. Fall back to True if not provided. - should_generate_images = ( - params["isImageGenerationEnabled"] - if "isImageGenerationEnabled" in params - else True - ) + # Get the image generation flag from the request. Fall back to True if not provided. + should_generate_images = ( + params["isImageGenerationEnabled"] + if "isImageGenerationEnabled" in params + else True + ) - print("generating code...") - await websocket.send_json({"type": "status", "value": "Generating code..."}) + print("generating code...") + await websocket.send_json({"type": "status", "value": "Generating code..."}) async def process_chunk(content: str): await websocket.send_json({"type": "chunk", "value": content}) @@ -184,10 +195,16 @@ async def stream_code(websocket: WebSocket): image_cache = create_alt_url_mapping(params["history"][-2]) - pprint_prompt(prompt_messages) + # pprint_prompt(prompt_messages) if SHOULD_MOCK_AI_RESPONSE: completion = await mock_completion(process_chunk) + elif IS_MODEL_GEMINI: + completion = await stream_gemini_response( + prompt_messages, + api_key=google_api_key, + callback=lambda x: process_chunk(x), + ) else: try: completion = await stream_openai_response( @@ -260,5 +277,14 @@ async def stream_code(websocket: WebSocket): await websocket.send_json( {"type": "status", "value": "Image generation failed but code is complete."} ) + except RuntimeError as e: + traceback.print_exc() + print("Code generation failed", e) + # Send set code even if image generation fails since that triggers + # the frontend to update history + await websocket.send_json({"type": "setCode", "value": completion}) + await websocket.send_json( + {"type": "status", "value": "Code generation failed but code is complete."} + ) await websocket.close() diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index 658b6ef..65db4b8 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -55,7 +55,9 @@ function App() { // Settings const [settings, setSettings] = usePersistedState( { + model: 'gpt-4-vision', openAiApiKey: null, + googleApiKey: null, openAiBaseURL: null, screenshotOneApiKey: null, isImageGenerationEnabled: true, diff --git a/frontend/src/components/ImageUpload.tsx b/frontend/src/components/ImageUpload.tsx index ff97466..7bba462 100644 --- a/frontend/src/components/ImageUpload.tsx +++ b/frontend/src/components/ImageUpload.tsx @@ -139,7 +139,7 @@ function ImageUpload({ setReferenceImages }: Props) { ); return ( -
+
{/* eslint-disable-next-line @typescript-eslint/no-explicit-any */}
diff --git a/frontend/src/components/SettingsDialog.tsx b/frontend/src/components/SettingsDialog.tsx index ea23bc8..6c3ca99 100644 --- a/frontend/src/components/SettingsDialog.tsx +++ b/frontend/src/components/SettingsDialog.tsx @@ -1,4 +1,4 @@ -import React from "react"; +import React, { useEffect, useState } from "react"; import { Dialog, DialogClose, @@ -37,6 +37,20 @@ function SettingsDialog({ settings, setSettings }: Props) { })); }; + const [isGemini, setIsGemini] = useState(false); + + const toggleModelSettings = (model: string)=>{ + setIsGemini(model === 'models/gemini-pro-vision') + setSettings((s) => ({ + ...s, + model, + })) + } + + useEffect(()=>{ + setIsGemini(settings.model === 'models/gemini-pro-vision') + }, []) + return ( @@ -71,25 +85,65 @@ function SettingsDialog({ settings, setSettings }: Props) { />
-