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Update app.py
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app.py
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from flask import Flask, render_template, request, jsonify, after_this_request
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from io import BytesIO
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import base64
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import subprocess
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import os
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import random
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import string
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import
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import
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app = Flask(__name__)
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# Define
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file_folder =
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}
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}
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def
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return
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def
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return output_file
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@app.route('/')
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def index():
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return render_template('index.html',
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@app.route('/
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def
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if __name__ == '__main__':
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app.run(host='0.0.0.0'
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import os
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import json
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import random
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import string
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import subprocess
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import requests
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from datetime import datetime
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from flask import Flask, render_template, request, jsonify, send_file, Response, stream_with_context
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from bs4 import BeautifulSoup
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import markdown
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import threading
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from queue import Queue
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import time
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app = Flask(__name__)
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# Define directories
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file_folder = os.path.dirname(os.path.abspath(__file__))
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temp_audio_folder = os.path.join(file_folder, 'temp_audio')
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chats_folder = os.path.join(file_folder, 'chats')
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model_folder = None
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piper_binary_path = os.path.join(file_folder, 'piper', 'piper')
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# Create necessary directories
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os.makedirs(temp_audio_folder, exist_ok=True)
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os.makedirs(chats_folder, exist_ok=True)
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# Check default user folder
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default_user_folder = "./"
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if os.path.exists(default_user_folder) and any(f.endswith('.onnx') for f in os.listdir(default_user_folder)):
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model_folder = default_user_folder
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# Global settings
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DEFAULT_BASE_HOST = "http://localhost:11434"
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SETTINGS = {
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'speaker': 0,
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'noise_scale': 0.667,
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'length_scale': 1.0,
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'noise_w': 0.8,
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'sentence_silence': 0.2
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}
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def get_available_models():
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if not model_folder:
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return []
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return [os.path.splitext(model)[0] for model in os.listdir(model_folder) if model.endswith('.onnx')]
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def get_ollama_models(base_host=DEFAULT_BASE_HOST):
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try:
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response = requests.get(f"{base_host}/api/tags")
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if response.status_code == 200:
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return [model['name'] for model in response.json().get('models', [])]
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return []
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except:
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return []
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def load_chat_history(chat_file):
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try:
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with open(os.path.join(chats_folder, chat_file), 'r', encoding='utf-8') as f:
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return json.load(f).get('messages', [])
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except:
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return []
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def save_chat(messages, chat_file=None):
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if not messages:
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return None
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if not chat_file:
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timestamp = datetime.now().strftime('%Y%m%d-%H%M%S')
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chat_file = f'chat-{timestamp}.json'
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filepath = os.path.join(chats_folder, chat_file)
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with open(filepath, 'w', encoding='utf-8') as f:
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json.dump({
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'timestamp': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
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'messages': messages
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}, f, ensure_ascii=False, indent=2)
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return chat_file
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def remove_markdown(text):
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html_content = markdown.markdown(text)
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soup = BeautifulSoup(html_content, 'html.parser')
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return soup.get_text().strip()
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def convert_to_speech(text, model_name, remove_md=False):
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if model_name not in get_available_models():
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return None
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if remove_md:
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text = remove_markdown(text)
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random_name = ''.join(random.choices(string.ascii_letters + string.digits, k=8)) + '.wav'
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output_file = os.path.join(temp_audio_folder, random_name)
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# Clean old audio files
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for file in os.listdir(temp_audio_folder):
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if file.endswith('.wav'):
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os.remove(os.path.join(temp_audio_folder, file))
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model_path = os.path.join(model_folder, model_name + '.onnx')
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# Create temporary text file
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temp_txt_path = os.path.join(os.getenv('TEMP'), "temp_text.txt")
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with open(temp_txt_path, "w", encoding="utf-8") as f:
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f.write(text)
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try:
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command = (f'type "{temp_txt_path}" | "{piper_binary_path}" -m "{model_path}" -f "{output_file}" '
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f'--speaker {SETTINGS["speaker"]} --noise_scale {SETTINGS["noise_scale"]} '
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f'--length_scale {SETTINGS["length_scale"]} --noise_w {SETTINGS["noise_w"]} '
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f'--sentence_silence {SETTINGS["sentence_silence"]}')
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subprocess.run(command, shell=True, check=True)
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os.remove(temp_txt_path)
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if os.path.exists(output_file):
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return output_file
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except:
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pass
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finally:
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if os.path.exists(temp_txt_path):
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os.remove(temp_txt_path)
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return None
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def set_default_models():
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tts_models = get_available_models()
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ollama_models = get_ollama_models()
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default_tts_model = "RecomendacionesConMiau" if "RecomendacionesConMiau" in tts_models else None
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default_ollama_model = "llama3.2:1b" if "llama3.2:1b" in ollama_models else None
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return default_tts_model, default_ollama_model
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@app.route('/')
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def index():
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tts_models = get_available_models()
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chat_files = sorted([f for f in os.listdir(chats_folder) if f.endswith('.json')], reverse=True)
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default_tts_model, default_ollama_model = set_default_models()
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return render_template('index.html', tts_models=tts_models, chat_files=chat_files, default_tts_model=default_tts_model, default_ollama_model=default_ollama_model)
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@app.route('/api/list_ollama_models')
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def list_ollama_models():
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base_host = request.args.get('base_host', DEFAULT_BASE_HOST)
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return jsonify(models=get_ollama_models(base_host))
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@app.route('/api/load_chat/<chat_file>')
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def load_chat(chat_file):
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messages = load_chat_history(chat_file)
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return jsonify(messages=messages)
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@app.route('/api/update_message', methods=['POST'])
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def update_message():
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data = request.json
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chat_file = data.get('chat_file')
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message_index = data.get('message_index')
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new_content = data.get('content')
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is_user = data.get('is_user', False)
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if not chat_file or message_index is None or not new_content:
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return jsonify(error="Missing required parameters"), 400
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messages = load_chat_history(chat_file)
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if message_index >= len(messages):
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return jsonify(error="Invalid message index"), 400
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# Update the message content
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messages[message_index]['content'] = new_content
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# If it's a user message, regenerate all subsequent responses
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if is_user:
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# Keep messages up to and including the edited message
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messages = messages[:message_index + 1]
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# Save the updated chat
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save_chat(messages, chat_file)
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return jsonify(success=True, messages=messages)
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@app.route('/api/chat', methods=['POST'])
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def chat():
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data = request.json
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base_host = data.get('base_host', DEFAULT_BASE_HOST)
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model = data.get('model')
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messages = data.get('messages', [])
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chat_file = data.get('chat_file')
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def generate():
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queue = Queue()
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thread = threading.Thread(
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target=stream_ollama_response,
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args=(base_host, model, messages, queue)
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)
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thread.start()
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complete_response = ""
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while True:
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msg_type, content = queue.get()
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if msg_type == "error":
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yield f"data: {json.dumps({'error': content})}\n\n"
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break
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elif msg_type == "chunk":
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complete_response = content
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yield f"data: {json.dumps({'chunk': content})}\n\n"
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elif msg_type == "done":
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# Save chat history
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messages.append({"role": "assistant", "content": complete_response})
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save_chat(messages, chat_file)
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yield f"data: {json.dumps({'done': complete_response})}\n\n"
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break
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return Response(stream_with_context(generate()), mimetype='text/event-stream')
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def stream_ollama_response(base_host, model, messages, queue):
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url = f"{base_host}/api/chat"
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data = {
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"model": model,
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"messages": messages,
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"stream": True
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}
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try:
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with requests.post(url, json=data, stream=True) as response:
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if response.status_code == 200:
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complete_response = ""
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for line in response.iter_lines():
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if line:
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try:
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json_response = json.loads(line)
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chunk = json_response.get("message", {}).get("content", "")
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if chunk:
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complete_response += chunk
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queue.put(("chunk", complete_response))
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except json.JSONDecodeError:
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continue
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queue.put(("done", complete_response))
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else:
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queue.put(("error", f"Error: {response.status_code}"))
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except Exception as e:
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queue.put(("error", f"Error: {str(e)}"))
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@app.route('/api/tts', methods=['POST'])
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def text_to_speech():
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data = request.json
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text = data.get('text', '')
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model = data.get('model')
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remove_md = data.get('remove_markdown', False)
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if not text or not model:
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| 251 |
+
return jsonify(error="Missing text or model"), 400
|
| 252 |
|
| 253 |
+
audio_file = convert_to_speech(text, model, remove_md)
|
| 254 |
+
if not audio_file:
|
| 255 |
+
return jsonify(error="Failed to convert text to speech"), 500
|
| 256 |
+
|
| 257 |
+
return jsonify(audio_file=os.path.basename(audio_file))
|
| 258 |
+
|
| 259 |
+
@app.route('/audio/<filename>')
|
| 260 |
+
def serve_audio(filename):
|
| 261 |
+
return send_file(os.path.join(temp_audio_folder, filename))
|
| 262 |
|
| 263 |
if __name__ == '__main__':
|
| 264 |
+
app.run(debug=True, port=7860, host='0.0.0.0')
|