mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
synced 2026-02-04 09:29:23 +08:00
853d6a06b5
* Add code * add code * add code * Rename messages * rename * add code * Add demo * docs + demos + bug fixes * add code * styles * user guide * Styles * Add code * misc docs updates * print nit * whisper + pr * url for images * whsiper update * Fix bugs * remove demo files * version number * Fix pypi readme * Fix * demos * Add llama code editor * Update llama code editor and object detection cookbook * Add more cookbook demos * add code * Fix links for PR deploys * add code * Fix the install * add tts * TTS docs * Typo * Pending bubbles for reply on pause * Stream redesign (#63) * better error handling * Websocket error handling * add code --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local> * remove docs from dist * Some docs typos * more typos * upload changes + docs * docs * better phone * update docs * add code * Make demos better * fix docs + websocket start_up * remove mention of FastAPI app * fastphone tweaks * add code * ReplyOnStopWord fixes * Fix cookbook * Fix pypi readme * add code * bump versions * sambanova cookbook * Fix tags * Llm voice chat * kyutai tag * Add error message to all index.html * STT module uses Moonshine * Not required from typing extensions * fix llm voice chat * Add vpn warning * demo fixes * demos * Add more ui args and gemini audio-video * update cookbook * version 9 --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
import base64
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import os
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import re
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from pathlib import Path
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import numpy as np
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import openai
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from dotenv import load_dotenv
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from fastrtc import (
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AdditionalOutputs,
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ReplyOnPause,
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audio_to_bytes,
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)
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from groq import Groq
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load_dotenv()
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groq_client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
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client = openai.OpenAI(
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api_key=os.environ.get("SAMBANOVA_API_KEY"),
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base_url="https://api.sambanova.ai/v1",
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)
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path = Path(__file__).parent / "assets"
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spinner_html = open(path / "spinner.html").read()
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system_prompt = "You are an AI coding assistant. Your task is to write single-file HTML applications based on a user's request. Only return the necessary code. Include all necessary imports and styles. You may also be asked to edit your original response."
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user_prompt = "Please write a single-file HTML application to fulfill the following request.\nThe message:{user_message}\nCurrent code you have written:{code}"
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def extract_html_content(text):
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"""
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Extract content including HTML tags.
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"""
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match = re.search(r"<!DOCTYPE html>.*?</html>", text, re.DOTALL)
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return match.group(0) if match else None
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def display_in_sandbox(code):
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encoded_html = base64.b64encode(code.encode("utf-8")).decode("utf-8")
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data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}"
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return f'<iframe src="{data_uri}" width="100%" height="600px"></iframe>'
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def generate(user_message: tuple[int, np.ndarray], history: list[dict], code: str):
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yield AdditionalOutputs(history, spinner_html)
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text = groq_client.audio.transcriptions.create(
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file=("audio-file.mp3", audio_to_bytes(user_message)),
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model="whisper-large-v3-turbo",
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response_format="verbose_json",
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).text
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user_msg_formatted = user_prompt.format(user_message=text, code=code)
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history.append({"role": "user", "content": user_msg_formatted})
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response = client.chat.completions.create(
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model="Meta-Llama-3.1-70B-Instruct",
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messages=history, # type: ignore
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temperature=0.1,
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top_p=0.1,
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)
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output = response.choices[0].message.content
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html_code = extract_html_content(output)
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history.append({"role": "assistant", "content": output})
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yield AdditionalOutputs(history, html_code)
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CodeHandler = ReplyOnPause(generate) # type: ignore
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