Update app.py
Browse files
app.py
CHANGED
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import os
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from transformers import pipeline
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pipe = pipeline(
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model="Qwen/Qwen2-0.5B-Instruct"
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async def handle(update: Update, context: ContextTypes.DEFAULT_TYPE):
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user_msg = update.message.text
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prompt = build_prompt(user_msg)
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out = pipe(
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prompt,
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max_new_tokens=80,
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temperature=0.6,
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top_p=0.9,
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do_sample=True
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)
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await update.message.reply_text(reply)
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app = ApplicationBuilder().token(os.environ["TELEGRAM_TOKEN"]).build()
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app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle))
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app.run_polling()
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import os
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import json
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import math
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from telegram import Update, InlineKeyboardButton, InlineKeyboardMarkup
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from telegram.ext import ApplicationBuilder, MessageHandler, filters, ContextTypes, CallbackQueryHandler
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from transformers import pipeline
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pipe = pipeline(
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model="Qwen/Qwen2-0.5B-Instruct"
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)
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# 🧠 muistia käyttäjille
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memory = {}
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# 🛠️ TOOLS
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def tool_calculate(expression: str):
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try:
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return str(eval(expression))
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except:
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return "Error"
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def tool_search(query: str):
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return f"(fake search result for: {query})"
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TOOLS = {
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"calculate": tool_calculate,
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"search": tool_search
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}
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# 🧠 PROMPT
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def build_prompt(user_id, msg):
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history = memory.get(user_id, [])
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history_text = "\n".join(history[-5:])
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return (
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"<|system|>\n"
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"You are an AI agent.\n"
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"You can:\n"
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"- Answer normally\n"
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"- Use tools\n"
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"- Create buttons\n\n"
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"TOOLS FORMAT:\n"
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'{"type":"tool","name":"calculate","input":"2+2"}\n'
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'{"type":"tool","name":"search","input":"weather Helsinki"}\n\n'
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"BUTTON FORMAT:\n"
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'{"type":"buttons","text":"Choose:","buttons":["A","B"]}\n\n'
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"RULES:\n"
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"- Only output JSON when using tools or buttons\n"
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"- No explanation around JSON\n"
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"- Otherwise reply normally\n"
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"- Use tools when useful\n"
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"- Use buttons for choices\n"
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"<|end|>\n"
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f"{history_text}\n"
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"<|user|>\n"
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f"{msg}"
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"<|end|>\n"
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"<|assistant|>\n"
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)
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# 🤖 AGENT LOOP
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def run_agent(user_id, msg):
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prompt = build_prompt(user_id, msg)
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for _ in range(3): # max 3 tool calls
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out = pipe(
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prompt,
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max_new_tokens=120,
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temperature=0.6,
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top_p=0.9,
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do_sample=True
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)
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text = out[0]["generated_text"]
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reply = text.split("<|assistant|>")[-1].strip()
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# yritä parse JSON
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try:
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data = json.loads(reply)
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# 🔘 BUTTONS
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if data.get("type") == "buttons":
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return {"buttons": data}
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# 🛠️ TOOL CALL
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if data.get("type") == "tool":
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name = data.get("name")
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inp = data.get("input")
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if name in TOOLS:
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result = TOOLS[name](inp)
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# lisää contextiin
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prompt += f"\nTool result: {result}\nContinue.\n"
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continue
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except:
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pass
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return {"text": reply}
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return {"text": "I couldn't complete that."}
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# 📩 MESSAGE HANDLER
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async def handle(update: Update, context: ContextTypes.DEFAULT_TYPE):
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user_id = update.effective_user.id
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user_msg = update.message.text
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# ⌨️ typing
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await update.message.chat.send_action("typing")
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result = run_agent(user_id, user_msg)
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# tallenna muisti
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memory.setdefault(user_id, []).append(f"User: {user_msg}")
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if "buttons" in result:
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data = result["buttons"]
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keyboard = [
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[InlineKeyboardButton(b, callback_data=b)]
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for b in data["buttons"]
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]
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await update.message.reply_text(
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data["text"],
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reply_markup=InlineKeyboardMarkup(keyboard)
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)
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memory[user_id].append(f"Assistant: {data['text']}")
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return
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reply = result["text"]
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memory[user_id].append(f"Assistant: {reply}")
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await update.message.reply_text(reply)
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# 🔘 BUTTON HANDLER
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async def button_handler(update: Update, context: ContextTypes.DEFAULT_TYPE):
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query = update.callback_query
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await query.answer()
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# treat as new user input
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fake_update = Update(
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update.update_id,
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message=query.message
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)
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fake_update.message.text = query.data
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await handle(fake_update, context)
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# 🚀 START
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app = ApplicationBuilder().token(os.environ["TELEGRAM_TOKEN"]).build()
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app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle))
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app.add_handler(CallbackQueryHandler(button_handler))
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app.run_polling()
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