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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "6aa646e3-7a57-461a-b69a-073179effa18", |
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"metadata": {}, |
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"source": [ |
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"## Additional End of week Exercise - week 2\n", |
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"\n", |
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"This includes \n", |
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"- Gradio UI\n", |
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"- use of the system prompt to add expertise\n", |
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"- audio input so you can talk to it\n", |
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"- respond with audio" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "72f3dca4-b052-4e9f-90c8-f42e667c165c", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# imports\n", |
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"\n", |
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"import os\n", |
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"from dotenv import load_dotenv\n", |
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"from openai import OpenAI\n", |
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"from IPython.display import Markdown, display, update_display\n", |
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"import gradio as gr\n", |
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"import json" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "23570b9f-8c7a-4cc7-b809-3505334b60a7", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Load environment variables in a file called .env\n", |
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"\n", |
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"load_dotenv(override=True)\n", |
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n", |
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"openai = OpenAI()\n", |
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"MODEL = 'gpt-4o-mini'" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "d379178a-8672-4e6f-a380-ad8d85f5c64e", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"system_message = \"\"\"You are a personal study tutor, designed to provide clear, yet brief and succint answers to \n", |
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"students that ask you questions. The topics are related to data science, computer science \n", |
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"and technology in general, so you are allowed to use a moderate level of jargon. Explain in \n", |
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"simple terminology, so a student can easily understand. \n", |
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"\n", |
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"You may also be asked about prices for special courses.In this case, respond that you have no such\n", |
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"data available. \n", |
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"\n", |
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"\"\"\"\n", |
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"# Use a tabular format where possible \n", |
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"# for ease of information flow " |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "4745d439-c66e-4e5c-b5d4-9f0ba97aefdc", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def chat(history):\n", |
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" messages = [{\"role\": \"system\", \"content\": system_message}] + history\n", |
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" response = openai.chat.completions.create(model=MODEL, messages=messages)\n", |
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"\n", |
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" reply = response.choices[0].message.content\n", |
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" history += [{\"role\":\"assistant\", \"content\":reply}]\n", |
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"\n", |
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" # Comment out or delete the next line if you'd rather skip Audio for now..\n", |
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" talker(reply)\n", |
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" \n", |
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" return history" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "a8b31799-df86-4151-98ea-66ef50fe767e", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"!pip install openai-whisper" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "9f5b8e51-2833-44be-a4f4-63c4683f2b6e", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import whisper\n", |
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"\n", |
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"def transcribe_audio(audio):\n", |
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" if audio is None:\n", |
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" return \"No audio received.\"\n", |
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" \n", |
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" model = whisper.load_model(\"base\") # You can use \"tiny\", \"small\", etc.\n", |
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" result = model.transcribe(audio)\n", |
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" \n", |
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" return result[\"text\"]" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "e55f8e43-2da1-4f2a-bcd4-3fffa830db48", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import base64\n", |
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"from io import BytesIO\n", |
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"from PIL import Image\n", |
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"from IPython.display import Audio, display\n", |
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"\n", |
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"def talker(message):\n", |
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" response = openai.audio.speech.create(\n", |
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" model=\"tts-1\",\n", |
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" voice=\"onyx\",\n", |
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" input=message)\n", |
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"\n", |
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" audio_stream = BytesIO(response.content)\n", |
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" output_filename = \"output_audio.mp3\"\n", |
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" with open(output_filename, \"wb\") as f:\n", |
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" f.write(audio_stream.read())\n", |
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"\n", |
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" # Play the generated audio\n", |
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" display(Audio(output_filename, autoplay=True))" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "cb3107a7-bfdc-4255-825f-bfabcf458c0c", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# More involved Gradio code as we're not using the preset Chat interface!\n", |
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"# Passing in inbrowser=True in the last line will cause a Gradio window to pop up immediately.\n", |
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"\n", |
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"with gr.Blocks() as ui:\n", |
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" with gr.Row():\n", |
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" chatbot = gr.Chatbot(height=400,type=\"messages\")\n", |
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" with gr.Row():\n", |
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" entry = gr.Textbox(label=\"Chat with our StudyAI Assistant:\")\n", |
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" # with gr.Row():\n", |
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" # entry = gr.Textbox(label=\"Speak or Type:\", placeholder=\"Speak your question...\", interactive=True, microphone=True)\n", |
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" with gr.Row():\n", |
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" audio_input = gr.Audio(type=\"filepath\", label=\"Speak your question\")\n", |
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" with gr.Row():\n", |
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" clear = gr.Button(\"Clear\")\n", |
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"\n", |
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" def do_entry(message, history):\n", |
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" history += [{\"role\":\"user\", \"content\":message}]\n", |
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" return \"\", history\n", |
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"\n", |
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" def handle_audio(audio, history):\n", |
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" text = transcribe_audio(audio)\n", |
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" history += [{\"role\": \"user\", \"content\": text}]\n", |
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" return \"\", history\n", |
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"\n", |
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" entry.submit(do_entry, inputs=[entry, chatbot], outputs=[entry, chatbot]).then(\n", |
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" chat, inputs=[chatbot], outputs=[chatbot]\n", |
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" )\n", |
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"\n", |
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" audio_input.change(handle_audio, inputs=[audio_input, chatbot], outputs=[entry, chatbot]).then(\n", |
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" chat, inputs=[chatbot], outputs=[chatbot]\n", |
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" )\n", |
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" \n", |
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" clear.click(lambda: [], inputs=None, outputs=chatbot, queue=False)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "73e0a776-d43e-4b04-a37f-a27d3714cf47", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"ui.launch(inbrowser=True)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "bcd45503-d314-4b28-a41c-4dbb87059188", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.11" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
Loading…
Reference in new issue