Create voice_coding_service.py
Browse files- services/voice_coding_service.py +133 -0
services/voice_coding_service.py
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| 1 |
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import gradio as gr
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import numpy as np
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import base64
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import re
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from groq import Groq
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from gradio_webrtc import (
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WebRTC,
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ReplyOnStopWords,
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AdditionalOutputs,
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audio_to_bytes,
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get_twilio_turn_credentials,
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)
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class VoiceCodingService:
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"""Dịch vụ Voice Coding sử dụng Groq + WebRTC"""
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def __init__(self, groq_client: Groq):
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self.groq_client = groq_client
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self.rtc_configuration = get_twilio_turn_credentials()
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# HTML templates
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self.spinner_html = """
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<div style="text-align: center; padding: 20px;">
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<div class="spinner"></div>
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<p>🦙 Llama đang code...</p>
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</div>
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<style>
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.spinner {
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border: 4px solid #f3f3f3;
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border-top: 4px solid #3498db;
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border-radius: 50%;
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width: 40px;
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height: 40px;
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animation: spin 2s linear infinite;
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margin: 0 auto;
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}
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@keyframes spin {
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0% { transform: rotate(0deg); }
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100% { transform: rotate(360deg); }
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}
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</style>
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"""
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self.sandbox_html = """
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<div style="text-align: center; padding: 20px;">
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<h3>🎮 Sandbox Preview</h3>
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<p>Code sẽ được hiển thị ở đây sau khi generate</p>
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</div>
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"""
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self.something_happened_html = """
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<div style="text-align: center; padding: 20px; color: #e74c3c;">
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<h3>❌ Có lỗi xảy ra</h3>
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<p>Không thể generate code. Vui lòng thử lại.</p>
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</div>
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"""
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# Prompts
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self.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. Respond in Vietnamese when appropriate."
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self.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(self, text):
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"""Extract content including HTML tags."""
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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(self, code):
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"""Hiển thị code trong sandbox iframe"""
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if not code:
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return self.sandbox_html
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try:
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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" style="border: 1px solid #ccc;"></iframe>'
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except Exception as e:
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print(f"❌ Lỗi display sandbox: {e}")
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return self.something_happened_html
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def generate_code(self, user_message: tuple[int, np.ndarray], history: list[dict], code: str):
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"""Generate code từ voice input"""
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yield AdditionalOutputs(history, self.spinner_html)
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try:
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# Chuyển audio sang text
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sr, audio = user_message
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audio = audio.squeeze()
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print("🎤 Converting speech to text...")
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text = self.groq_client.audio.transcriptions.create(
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file=("audio-file.mp3", audio_to_bytes((sr, audio))),
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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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print(f"📝 Transcription: {text}")
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# Format user message
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user_msg_formatted = self.user_prompt.format(user_message=text, code=code)
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history.append({"role": "user", "content": user_msg_formatted})
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# Generate code với Groq
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print("🦙 Generating code with Llama...")
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response = self.groq_client.chat.completions.create(
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model="llama-3.1-8b-instant",
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messages=history,
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temperature=1,
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max_tokens=2048,
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top_p=1,
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stream=False,
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)
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output = response.choices[0].message.content
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| 114 |
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print("✅ Code generated successfully")
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# Extract HTML code
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| 117 |
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try:
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html_code = self.extract_html_content(output)
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| 119 |
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if not html_code:
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| 120 |
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html_code = f"<!-- Generated Code -->\n{output}"
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| 121 |
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except Exception as e:
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| 122 |
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print(f"⚠️ Could not extract HTML: {e}")
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| 123 |
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html_code = self.something_happened_html
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| 124 |
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# Update history
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| 126 |
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history.append({"role": "assistant", "content": output})
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| 127 |
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| 128 |
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yield AdditionalOutputs(history, html_code)
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| 129 |
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| 130 |
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except Exception as e:
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| 131 |
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print(f"❌ Lỗi generate code: {e}")
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| 132 |
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history.append({"role": "assistant", "content": f"Error: {str(e)}"})
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| 133 |
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yield AdditionalOutputs(history, self.something_happened_html)
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