Update app.py
Browse files
app.py
CHANGED
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@@ -5,7 +5,7 @@ import torch
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import uvicorn
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import os
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# Initialize the model
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pipe = pipeline(
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"text-generation",
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model="unsloth/Llama-3.2-1B-Instruct",
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@@ -15,7 +15,6 @@ pipe = pipeline(
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app = FastAPI()
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# Enable CORS for web access
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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@@ -23,59 +22,73 @@ app.add_middleware(
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allow_headers=["*"],
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)
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@app.post("/chat")
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async def chat(request: Request):
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try:
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data = await request.json()
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user_input = data.get("prompt", "")
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history = data.get("history", "")
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#
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"You are TANZ AI, a friendly assistant created by Tae. "
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"Tae studies at Wangnoi(Phanomyong Wittaya) School. "
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"His friends are Tan, Ton, Mind, Golf, Wan, Keng. "
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"Tan's girlfriend is Phrae. Tan's mother is Tung. Tan's father is Phit/Daeng/Lek/Noppha. "
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"Ton's mother is Khao. Ton's father is Kong. "
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"STRICT RULES: "
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"1. If someone asks for Tae's location, say 'I cannot give that information ครับ'. "
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"2. Answer VERY SHORTLY and 100% ACCURATE to the provided facts only. "
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"3. If the question is NOT about the facts above, or you don't know the answer, "
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"you MUST say 'ผมไม่สามารถตอบคำถามนี้ได้ครับ'. Do not imagine or guess. "
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"4. Always end with 'ครับ'. Never use 'ค่ะ'."
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)
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prompt = (
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f"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n{
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f"<|start_header_id|>user<|end_header_id|>\n{user_input}<|eot_id|>"
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f"<|start_header_id|>assistant<|end_header_id|>\n"
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)
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# ปรับความแม่นยำ
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outputs = pipe(
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prompt,
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max_new_tokens=
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do_sample=False, #
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repetition_penalty=1.
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eos_token_id=128009
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)
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# Extract response
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generated_text = outputs[0]["generated_text"]
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reply = generated_text.split("<|start_header_id|>assistant<|end_header_id|>")[-1].strip()
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reply = reply.replace("<|eot_id|>", "").
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#
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reply = "ผมไม่สามารถตอบคำถามนี้ได้ครับ"
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return {"reply": reply}
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except Exception as e:
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return {"reply": "เกิดข้อผิดพลาดในการประมวลผลครับ"}
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@app.get("/")
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def home():
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return {"
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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import uvicorn
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import os
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# Initialize the model (Llama-3.2-1B-Instruct)
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pipe = pipeline(
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"text-generation",
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model="unsloth/Llama-3.2-1B-Instruct",
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_headers=["*"],
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)
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def load_knowledge():
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if os.path.exists("knowledge.txt"):
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with open("knowledge.txt", "r", encoding="utf-8") as f:
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return f.read().strip()
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return "No data available."
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@app.post("/chat")
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async def chat(request: Request):
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try:
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data = await request.json()
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user_input = data.get("prompt", "")
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# 1. โหลดข้อมูลจากไฟล์ทุกครั้งที่มีการถาม
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kb_content = load_knowledge()
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# 2. สร้าง System Prompt ที่เน้นการ "ตรวจสอบ" (Verification)
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# เราจะสั่งให้ AI คิดก่อนตอบว่าข้อมูลนี้มีใน KB หรือไม่
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verification_rules = (
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"You are TANZ AI, a strict assistant. "
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f"Here is your ONLY source of truth (Knowledge Base):\n###\n{kb_content}\n###\n"
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"STRICT PROTOCOL:\n"
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"1. If the user asks for Tae's location, reply: 'I cannot give that information ครับ'.\n"
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"2. For any other question, check if the answer is explicitly stated in the Knowledge Base above.\n"
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"3. If the answer is FOUND in the Knowledge Base, reply with a very short answer and end with 'ครับ'.\n"
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"4. If the answer is NOT FOUND, NOT CERTAIN, or the user asks something general/outside the KB, "
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"you MUST reply exactly: 'ผมไม่สามารถตอบคำถามนี้ได้ครับ'.\n"
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"5. Do not use your own internal knowledge. Only use the provided Knowledge Base.\n"
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"6. Always use 'ครับ'. Never use 'ค่ะ'."
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)
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prompt = (
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f"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n{verification_rules}<|eot_id|>"
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f"<|start_header_id|>user<|end_header_id|>\n{user_input}<|eot_id|>"
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f"<|start_header_id|>assistant<|end_header_id|>\n"
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)
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# ปรับความแม่นยำสูงสุด (Greedy Search)
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outputs = pipe(
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prompt,
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max_new_tokens=50,
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do_sample=False, # ห้ามสุ่มเด็ดขาดเพื่อให้ตรงตาม KB
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repetition_penalty=1.2,
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eos_token_id=128009
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)
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generated_text = outputs[0]["generated_text"]
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reply = generated_text.split("<|start_header_id|>assistant<|end_header_id|>")[-1].strip()
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reply = reply.replace("<|eot_id|>", "").strip()
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# 3. Post-Process Verification (ตรวจสอบซ้ำด้วยโค้ด)
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# ถ้า AI พยายามต��บยาวเกินไป หรือเริ่มมีน้ำเยอะ ให้ตัดบททันที
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if len(reply) > 150 or not reply:
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reply = "ผมไม่สามารถตอบคำถามนี้ได้ครับ"
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return {"reply": reply}
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except Exception as e:
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return {"reply": "เกิดข้อผิดพลาดในการประมวลผลครับ"}
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@app.get("/")
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def home():
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return {"message": "TANZ AI Strict System Online"}
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if __name__ == "__main__":
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# ตัวอย่างข้อมูลในไฟล์ knowledge.txt
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if not os.path.exists("knowledge.txt"):
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with open("knowledge.txt", "w", encoding="utf-8") as f:
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f.write("Tae studies at Wangnoi(Phanomyong Wittaya) School. Ayutthaya is the old capital of Thailand.")
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uvicorn.run(app, host="0.0.0.0", port=7860)
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