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Upload 4 files
Browse files- LINCENSE.txt +54 -0
- app.py +149 -0
- huggingface.yml +7 -0
- requirements.txt +7 -0
LINCENSE.txt
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Copyright (c) 2025 Nick Mclen Houston Wijaya
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All Rights Reserved.
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All rights to the Vibow AI software, models, documentation, and related files are exclusively owned by Nick Mclen Houston Wijaya.
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No part of this project may be copied, reproduced, modified, merged with other works, republished, distributed, sublicensed, or sold without prior written permission from the copyright holder.
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Any unauthorized use, including commercial or non-commercial purposes, is strictly prohibited and may result in civil and criminal liability.
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Users are not permitted to bypass, circumvent, or ignore copyright restrictions in any manner.
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All files, assets, code, and documentation remain the sole property of the copyright owner.
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The copyright holder reserves the right to revoke access or terminate usage at any time.
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No implicit license is granted through downloading, accessing, or using this project.
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Modification of code, models, or documentation without permission is considered a serious violation.
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Redistribution in digital, printed, or any other format, including through third-party platforms, is forbidden without written approval.
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Any reproduction, copying, or derivative creation without consent is illegal.
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Users are fully responsible for any copyright infringement resulting from their actions.
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The copyright owner may seek compensation or legal action for violations.
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Usage of Vibow AI must comply with the licensing terms established by the copyright holder.
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The project is protected under international copyright laws.
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Users may not distribute the project for commercial gain or personal benefit without prior authorization.
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All supporting files, assets, and documentation are fully protected.
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No party may claim ownership of this project or its components.
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The copyright holder has the right to review and monitor project usage at any time.
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Permission to use the project can only be granted through official, written agreement.
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Users must respect licensing terms and the exclusive rights of the copyright owner.
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Any violation may result in severe legal consequences.
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The project cannot be used as a base for other projects without explicit approval.
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All access granted is non-exclusive, non-transferable, and temporary.
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Every copy of the project must include this copyright notice.
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Users may not use Vibow AI for illegal or harmful purposes.
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Modifications, enhancements, or adaptations are only allowed with written consent.
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This copyright protects all versions, updates, and iterations of the project.
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Users may not sell, trade, or exchange the project in any form.
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All supplementary files, assets, and additional documentation are included under copyright protection.
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The copyright holder may take legal action against any infringement.
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Project use must comply with applicable laws.
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Users cannot use the project as a commercial resource without permission.
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The copyright holder has full authority to update, modify, or enforce the license at any time.
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No part of the project may be publicly posted without approval.
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Copyright covers code, models, documents, and all associated materials.
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Licensing violations may result in lawsuits, fines, and compensation claims.
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The project is provided βas-isβ without warranties, and users assume all risks.
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The copyright holder is not liable for any losses resulting from project use.
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Downloading or using the project constitutes agreement to all terms.
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The license may be updated or amended at the discretion of the copyright holder.
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Unauthorized use outside these terms is illegal.
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The copyright holder retains exclusive rights to determine who may use the project.
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Users may not remove or alter copyright notices.
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All project materials remain the property of the copyright holder.
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Infringements may be reported to authorities.
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The copyright holder may demand immediate cessation of project use.
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No implied rights are granted.
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Any action violating copyright may result in criminal or civil penalties.
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This license applies to all users of Vibow AI without exception.
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β Vibow AI, created by Nick Mclen Houston Wijayaβ
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app.py
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import os
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import time
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import base64
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import random
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import json
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import requests
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from flask import Flask, request, jsonify, Response, stream_with_context
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app = Flask(__name__)
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# ==== API KEYS ====
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GROQ_API_KEY_1 = os.getenv("GROQ_API_KEY_1") # Chat
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GROQ_API_KEY_2 = os.getenv("GROQ_API_KEY_2") # STT
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GROQ_API_KEY_3 = os.getenv("GROQ_API_KEY_3") # TTS
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# ==== URL ====
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GROQ_URL_CHAT = "https://api.groq.com/openai/v1/chat/completions"
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GROQ_URL_TTS = "https://api.groq.com/openai/v1/audio/speech"
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GROQ_URL_STT = "https://api.groq.com/openai/v1/audio/transcriptions"
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SYSTEM_PROMPT = (
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"You are Vibow GTA 5 β a friendly AI assistant created by Nick Mclen. "
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"Stay positive, kind, and expert. "
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"Always capitalize the first letter of sentences. "
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"If the user requests code, always use triple backticks (```). "
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"Be concise, neutral, and double-check your answers. "
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"If user requests code, Always give explaination plus code. "
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)
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# ===== Memory per user =====
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user_memory = {}
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# ===== Helpers =====
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def transcribe_audio(file_path: str) -> str:
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try:
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headers = {"Authorization": f"Bearer {GROQ_API_KEY_2}"}
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files = {
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"file": (os.path.basename(file_path), open(file_path, "rb"), "audio/wav"),
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"model": (None, "whisper-large-v3-turbo"),
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}
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res = requests.post(GROQ_URL_STT, headers=headers, files=files, timeout=60)
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res.raise_for_status()
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return res.json().get("text", "")
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except Exception as e:
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print(f"[STT Error] {e}")
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return ""
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finally:
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try:
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if os.path.exists(file_path):
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os.remove(file_path)
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except:
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pass
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def text_to_speech(text: str) -> bytes:
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try:
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headers = {"Authorization": f"Bearer {GROQ_API_KEY_3}"}
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data = {"model": "playai-tts", "voice": "Celeste-PlayAI", "input": text}
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res = requests.post(GROQ_URL_TTS, headers=headers, json=data, timeout=60)
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if res.status_code != 200:
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print(f"[TTS Error] {res.text}")
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return b""
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return res.content
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except Exception as e:
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print(f"[TTS Exception] {e}")
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return b""
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# ===== Chat streaming generator =====
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def stream_chat(prompt: str, user_id: str):
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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if user_id in user_memory:
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last = user_memory[user_id]
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messages.extend([
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{"role": "user", "content": last["user"]},
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{"role": "assistant", "content": last["assistant"]},
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])
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messages.append({"role": "user", "content": prompt})
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payload = {
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"model": "moonshotai/kimi-k2-instruct-0905",
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"messages": messages,
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"temperature": 0.7,
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"max_tokens": 3500,
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"stream": True,
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}
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headers = {"Authorization": f"Bearer {GROQ_API_KEY_1}", "Content-Type": "application/json"}
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ai_reply = ""
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try:
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with requests.post(GROQ_URL_CHAT, headers=headers, json=payload, stream=True) as r:
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for line in r.iter_lines():
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if not line: continue
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line = line.decode("utf-8")
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if line.startswith("data: "):
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data = line[6:]
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if data == "[DONE]": break
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try:
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chunk = json.loads(data)
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delta = chunk["choices"][0]["delta"].get("content", "")
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if delta:
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ai_reply += delta
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yield delta
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except:
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continue
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finally:
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user_memory[user_id] = {"user": prompt, "assistant": ai_reply}
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# ===== Main endpoint =====
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@app.route("/chat", methods=["POST"])
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def chat():
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user_id = request.remote_addr or "default"
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if "audio" in request.files:
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audio_file = request.files["audio"]
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temp_path = f"/tmp/{int(time.time())}_{random.randint(1000,9999)}.wav"
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audio_file.save(temp_path)
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user_text = transcribe_audio(temp_path)
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if not user_text:
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return jsonify({"error": "Failed to transcribe audio"}), 500
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ai_reply = "".join([chunk for chunk in stream_chat(user_text, user_id)])
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audio_bytes = text_to_speech(ai_reply)
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if not audio_bytes:
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return jsonify({"mode":"voice","transcript":user_text,"reply_text":ai_reply,"error":"TTS failed"}), 500
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audio_b64 = base64.b64encode(audio_bytes).decode("utf-8")
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return jsonify({
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"mode":"voice",
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"transcript":user_text,
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"reply_text":ai_reply,
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"audio_base64": f"data:audio/mp3;base64,{audio_b64}"
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})
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# ===== Text =====
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data = request.get_json(force=True)
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prompt = data.get("prompt", "").strip()
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if not prompt:
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return jsonify({"error": "No input text provided"}), 400
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def generate():
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for chunk in stream_chat(prompt, user_id):
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yield chunk
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return Response(generate(), mimetype="text/plain")
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# ===== Run server =====
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if __name__ == "__main__":
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print(f"π Vibow AI Chat Server running β {time.strftime('%Y-%m-%d %H:%M:%S')}")
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app.run(host="0.0.0.0", port=7860, debug=True, threaded=True)
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huggingface.yml
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sdk: gradio
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python_version: 3.11
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auto_detect_gpu: true # Spaces otomatis pakai GPU jika tersedia
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# install dependencies dari requirements.txt
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install:
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- pip install -r requirements.txt
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requirements.txt
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Flask==3.0.3
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Flask-Cors==4.0.0
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requests==2.32.3
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pytz==2023.3
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huggingface-hub
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pillow
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easyocr
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