Developing a multi-modal bot using Django as the web framework, GPT-4 for text generation, Whisper for speech-to-text, and DALL-E for image generation involves integrating several technologies and services. Here’s a step-by-step guide on how to develop such a bot.
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Set Up Your Development Environment
Install Django
First, set up a Django project if you haven't already.
pip install django django-admin startproject multimodal_bot cd multimodal_bot django-admin startapp botYou'll need to install OpenAI's API client to interact with GPT-4, Whisper, and DALL-E.
pip install openai -
Configure Django Settings
In your
settings.py, add your app to theINSTALLED_APPSlist.INSTALLED_APPS = [ ... 'bot', ] -
Set Up OpenAI API Integration
Configure OpenAI API Key
Add your OpenAI API key to your Django settings. Create a new file config.py in your project directory and add.
# config.py OPENAI_API_KEY = 'your-openai-api-key'Import this configuration in your
settings.py:from .config import OPENAI_API_KEYCreate a new file
services.pyin yourbotapp# bot/services.py import openai from django.conf import settings openai.api_key = settings.OPENAI_API_KEY def generate_text(prompt): response = openai.Completion.create( engine="text-davinci-004", prompt=prompt, max_tokens=150 ) return response.choices[0].text.strip() def transcribe_audio(audio_path): # Assuming you have Whisper set up to process audio files locally response = openai.Audio.transcribe( file=open(audio_path, 'rb'), model="whisper-1" ) return response['text'] def generate_image(prompt): response = openai.Image.create( prompt=prompt, n=1, size="1024x1024" ) return response['data'][0]['url'] -
Create Views for the Bot
Define Views
In your
views.py, define views to handle text generation, audio transcription, and image generation# bot/views.py from django.http import JsonResponse from django.views.decorators.csrf import csrf_exempt from .services import generate_text, transcribe_audio, generate_image @csrf_exempt def generate_text_view(request): if request.method == 'POST': prompt = request.POST.get('prompt') if prompt: text = generate_text(prompt) return JsonResponse({'text': text}) return JsonResponse({'error': 'Invalid request'}, status=400) @csrf_exempt def transcribe_audio_view(request): if request.method == 'POST' and request.FILES.get('audio'): audio = request.FILES['audio'] audio_path = f'/tmp/{audio.name}' with open(audio_path, 'wb') as f: for chunk in audio.chunks(): f.write(chunk) text = transcribe_audio(audio_path) return JsonResponse({'text': text}) return JsonResponse({'error': 'Invalid request'}, status=400) @csrf_exempt def generate_image_view(request): if request.method == 'POST': prompt = request.POST.get('prompt') if prompt: image_url = generate_image(prompt) return JsonResponse({'image_url': image_url}) return JsonResponse({'error': 'Invalid request'}, status=400) -
Create URLs for the Views
In your
urls.py, map the URLs to the views# bot/urls.py from django.urls import path from .views import generate_text_view, transcribe_audio_view, generate_image_view urlpatterns = [ path('generate-text/', generate_text_view, name='generate_text'), path('transcribe-audio/', transcribe_audio_view, name='transcribe_audio'), path('generate-image/', generate_image_view, name='generate_image'), ]Include these URLs in your project's
urls.py: -
Front-End Integration
To interact with your bot, create a simple front-end using HTML and JavaScript. You can use AJAX to send requests to your Django views.
Example HTML<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Multi-Modal Bot</title> <script src="https://code.jquery.com/jquery-3.6.0.min.js"></script> </head> <body> <h1>Multi-Modal Bot</h1> <h2>Text Generation</h2> <textarea id="text-prompt" rows="4" cols="50"></textarea> <button id="generate-text">Generate Text</button> <p id="text-result"></p> <h2>Audio Transcription</h2> <input type="file" id="audio-file"> <button id="transcribe-audio">Transcribe Audio</button> <p id="audio-result"></p> <h2>Image Generation</h2> <textarea id="image-prompt" rows="4" cols="50"></textarea> <button id="generate-image">Generate Image</button> <img id="image-result" src="" alt="Generated Image"> <script> $('#generate-text').click(function() { $.post('/bot/generate-text/', { prompt: $('#text-prompt').val() }, function(data) { $('#text-result').text(data.text); }); }); $('#transcribe-audio').click(function() { var formData = new FormData(); formData.append('audio', $('#audio-file')[0].files[0]); $.ajax({ url: '/bot/transcribe-audio/', type: 'POST', data: formData, processData: false, contentType: false, success: function(data) { $('#audio-result').text(data.text); } }); }); $('#generate-image').click(function() { $.post('/bot/generate-image/', { prompt: $('#image-prompt').val() }, function(data) { $('#image-result').attr('src', data.image_url); }); }); </script> </body> </html> -
Run the Django Server
Start your Django development server:
python manage.py runserver
You've now created a multi-modal bot using Django to integrate GPT-4 for text generation, Whisper for speech-to-text, and DALL-E for image generation. This bot can generate text based on user prompts, transcribe audio files, and create images based on textual descriptions. The front-end allows users to interact with these features via a simple web interface.
