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pipeline\n", "from IPython.display import clear_output\n", "from google.colab import output" ], "metadata": { "id": "Zs7QNs0Tet6r" }, "execution_count": 2, "outputs": [] }, { "cell_type": "code", "source": [ "class ChatBot:\n", " _instance = None\n", " _current_model = None\n", "\n", " def __init__(self, model_slug=None):\n", " if model_slug and model_slug != ChatBot._current_model:\n", " self.load_model(model_slug)\n", " ChatBot._current_model = model_slug\n", "\n", " self.messages = []\n", " self.max_tokens = 2048\n", " self.temperature = 0.01\n", " self.top_k = 100\n", " self.top_p = 0.95\n", "\n", " @classmethod\n", " def get_instance(cls, model_slug=None):\n", " if not cls._instance or (model_slug and model_slug != cls._current_model):\n", " cls._instance = cls(model_slug)\n", " return cls._instance\n", "\n", " def load_model(self, model_slug):\n", " print(f\"Loading model {model_slug}...\")\n", " self.pipeline = pipeline(\n", " \"text-generation\",\n", " model=model_slug,\n", " device_map=\"auto\",\n", " )\n", " clear_output()\n", " print(\"Model loaded successfully!\")\n", "\n", " def reset_conversation(self, system_message):\n", " \"\"\"Reset the conversation with a new system message\"\"\"\n", " self.messages = [{\"role\": \"system\", \"content\": system_message}]\n", "\n", " def get_response(self, user_input):\n", " \"\"\"Get response with current parameters\"\"\"\n", " self.messages.append({\"role\": \"user\", \"content\": user_input})\n", " outputs = self.pipeline(\n", " self.messages,\n", " max_new_tokens=self.max_tokens,\n", " do_sample=True,\n", " temperature=self.temperature,\n", " top_k=self.top_k,\n", " top_p=self.top_p\n", " )\n", " response = outputs[0][\"generated_text\"][-1]\n", " content = response.get('content', 'No content available')\n", " self.messages.append({\"role\": \"assistant\", \"content\": content})\n", " return content\n", "\n", " def update_params(self, max_tokens=None, temperature=None, top_k=None, top_p=None):\n", " \"\"\"Update generation parameters\"\"\"\n", " if max_tokens is not None:\n", " self.max_tokens = max_tokens\n", " if temperature is not None:\n", " self.temperature = temperature\n", " if top_k is not None:\n", " self.top_k = top_k\n", " if top_p is not None:\n", " self.top_p = top_p" ], "metadata": { "id": "v4uIN6uIeyl3" }, "execution_count": 3, "outputs": [] }, { "cell_type": "code", "source": [ "def run_chatbot(\n", " model=None,\n", " system_message=\"You are Orca Mini, You are expert in python coding, Think step by step before coming up with final answer\",\n", " max_tokens=None,\n", " temperature=None,\n", " top_k=None,\n", " top_p=None,\n", "):\n", " try:\n", " # Get or create chatbot instance\n", " chatbot = ChatBot.get_instance(model)\n", "\n", " # Update parameters if provided\n", " chatbot.update_params(max_tokens, temperature, top_k, top_p)\n", "\n", " # Reset conversation with new system message\n", " chatbot.reset_conversation(system_message)\n", "\n", " print(\"Chatbot: Hi! Type 'quit' to exit.\")\n", "\n", " while True:\n", " user_input = input(\"You: \").strip()\n", " if user_input.lower() == 'quit':\n", " break\n", " try:\n", " response = chatbot.get_response(user_input)\n", " print(\"Chatbot:\", response)\n", " except Exception as e:\n", " print(f\"Chatbot: An error occurred: {str(e)}\")\n", " print(\"Please try again.\")\n", "\n", " except Exception as e:\n", " print(f\"Error in chatbot: {str(e)}\")" ], "metadata": { "id": "H2n_6Xcue3Vn" }, "execution_count": 4, "outputs": [] }, { "cell_type": "code", "source": [ "run_chatbot(model=\"pankajmathur/orca_mini_v9_5_3B-Instruct\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "637f41ae2ab14c06943a5ec2ce8c4242", "7e5eec1572604af08834025f46f2d8f3", "149308c908fb46a8a1e028996e174ec5", "26cc90124bc542bcb101eb4682f65159", "ff9be360146a4d07be6fa2ffe3c8fe1d", "93a47770ec514e218fa7477af0671671", "a724fce5d23e4756a3c34bbf9f4f6a06", "bd8ce53127c54f82a0282c25c45941c3", "09e687a3660e429ab54fd662af0cad67", "93f53e66cd764eedbcaef25933540820", "ab04d29b53d5454197b6afb81456a7af", "604f93fbbca04199a04458ac645af230", "7e6cb3cd05524ac2860f4272113e6139", "03b47f01d0e54c1793097e261a099b21", "e92d60d05744419da2a7065035c6f292", "ab601e55b56d4ea3b6c755ca4a497606", "77263d2b6959427b91ffb19d260a2865", "1b932349856c48b09e8780f433ea8828", "a0a5689e2f534fa5a07ca9130ac25bca", "0a95b43354c5409f947e4bebfb6303c4", "e66d6a5b09314e038594e9d5c8c1d37a", "8f26b2720259475d870c9463e3b66036", "d0b05eb0ca5940a2a919644606492913", "6725133cc67b419c8c46c9be3ab732b4", "defbdb2da412468d96f037f18f41208f", "462f587404ef4844b9fe20dfe2fc180e", "a9343873ea5743579839d0c160e3b6e5", "4167e6137e954d26932fa06200bd9776", "5ab07d142b664b4f831f9154796f8223", "412217338ab94e66be46a2db94bc50d2", "561a5a6d05d849989c21e8cd866ef0d0", "049eda868c854f8cb9ad229b3daf07b4", "84d38e8a604542c7b5ae11222dbe0736", "934127ff77ad40e5a8b4a6bf49e1c99a", "97b70100dbd94fec845b4a5957d80275", "07820ad0a128448fb68cb9933e587c36", "cf53697ff88241b581268b5a2968ab5d", "a72880ed0a3a47859ad3de21117b3bb7", "ad08221fce8f4a098f481eb52a7da715", "eb36602b1de9450198a8211c3e61801e", "7046c073168047718dd43658538f8311", "327100e640964301b471bdbf44a8cc92", "9e23ae17098949a4be5d47cabd7197e6", "4966b5a8be4d456aacf728c531d37799", "0efac0e8c0d148d0979e654189341bf1", "8913e7df99fb44cdb05d3a76b3cdccce", "3f54f55d312d4c7c9e5a83f55eda18cf", "0c4a040d86cd43e3b4771b6df80cad6a", "088cf400027343158e9e985437252437", "a431e4bb083a4fcb95623fc1d78d572d", "af18ee5bf6594b4f96782165a11b4343", "a4a7fcbac66e43a88740bd4952e73096", "834248ac782e4aa7991c87e84e08726a", "e4fec6c8ae6c4c4491bac27bdb2aba75", "dfd88327d2954b5093b55ab98a99e467", "35dab978ecb4465cbe8d99a4005c3eca", "932cd09a51fb4fa1842ac2ba38e7a996", "a2a7bbba58dd4119872ee694eec7b869", "dd8696a9341a467f853b882c997e7454", "e6e3c978a1a64d34a8d21561c4b5ef9b", "ec8a5a4a858b464b96b29329180f3673", "bf2eac5e2dc648fa9df98217a0f56184", "57c88788ec5e441e8bad7e56be410fb9", "92389a57eff34d0fa9289f72763a4461", "4727819fea9942a484da549b89734b09", "6ce6eff7389541488548c1f9d7ebf662", "db68eded020b4f6796675c4bbda0d543", "fe5e9c27e24047bf95d027145ff3a73f", "6270ab95922c4fb8b35c3a96493d3204", "2b81342407e14b72a074fb95ec80ac45", "f9ac412f13bf4028adda2821efe2a754", "a812381934884cae923ad239f90c5fc8", "5a53355d4c1c450fbcc4df52a4fdacf9", "2349ab97a5fe43b295485e3054868adc", "41673e49e9fc451488875e8842482ad6", "c039465e17464bb2bb6b1f561fb8a2e5", "8b3a7103e06c461daa6adfb28ff62ef1", "fabcc929877b4aefb270db80dbbdf659", "4b35a5fb0d664ae98936f35f05d17c94", "14bd936e301546588b920207cc98021c", "0d584ff57acc462d88adedd25cf6fb2d", "4cb9dfe7227c4ccfb8a9b21e46c305a6", "0abada86d2534304ab101eb823d198bf", "b4a9962b09e84797a2362b8b2de3c0a9", "d9fd1949ac774ea297ba265a4893527c", "d1bdc8898c3b45c5b9b79937b3d007c7", "4b04a514cb76437cb32a332a0de09b32", "7b3dad782c244a0bb84cea25f56cab57", "67799a0490474da9989ecb130d00bb14", "20b329c89e5d445d8f9a2bfe1fcbf5b0", "36552b38ef7b4fa09878a7a998b6a962", "e8a6468dd07d4c1b9778e973eb59eae6", "0c50f61f2f044298b157a1b9999f5c14", "3d6c377873064f8884d2542aa8b1ffe8", "558fed2f0b8d45e68bbf8db3a83ca842", "c0fbf17fa86b418a80b501cd708fd2bd", "8398acbc6e9442f4977a950895c1c609", "aa5f73bf8e1b4e3fa5208fb79d0bccad", "e49bfb70c69448e094cfced0670ebdf0", "fe69698774914703b8965881b02295d2", "10c8a182ade749e692d7963315af9035", "0ea057b814e94d2b99c93c103fc50d2f", "a7808d66b1fd4a5e965a5ce749613369", "6214dd64a1b042a38076cfc47d296819", "0b6e7691f4d044ca928b59c006c2c9ab", "a77e8a6c300643c4aed7dd324df8ba20", "146ff58fee1d4e918719c7941bdb567e", "a08dabc71f974f19a4c224df6e0983c2", "f9cb2dee1c8a4e05af2f96fafedb76c6", "67b68753389741cf866e318d59b155df" ] }, "id": "JEqgoAH2fC6h", "outputId": "04f56adc-beee-4caf-9e6b-222600bf6cb2" }, "execution_count": 5, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model loaded successfully!\n", "Chatbot: Hi! Type 'quit' to exit.\n", "You: You are given an array nums. A split of an array nums is beautiful if: The array nums is split into three subarrays : nums1, nums2, and nums3, such that nums can be formed by concatenating nums1, nums2, and nums3 in that order. The subarray nums1 is a prefix of nums2 OR nums2 is a prefix of nums3. Return the number of ways you can make this split. Example 1: Input: nums = [1,1,2,1] Output: 2 Explanation: The beautiful splits are: A split with nums1 = [1], nums2 = [1,2], nums3 = [1]. A split with nums1 = [1], nums2 = [1], nums3 = [2,1]. Example 2: Input: nums = [1,2,3,4] Output: 0 Explanation: There are 0 beautiful splits. Constraints: 1 <= nums.length <= 5000 0 <= nums[i] <= 50\n", "Chatbot: To solve this problem, we can use a two-pointer approach. We will iterate through the array and keep track of the number of elements in the first and second subarrays. We will also keep track of the number of ways we can make a beautiful split.\n", "\n", "Here is the Python code for the solution:\n", "\n", "```python\n", "def numberOfBeautifulSplit(nums):\n", " n = len(nums)\n", " ways = 0\n", " i = 0\n", " while i < n:\n", " j = i + 1\n", " while j < n and nums[j] == nums[i]:\n", " j += 1\n", " ways += j - i - 1\n", " i = j\n", " return ways\n", "```\n", "\n", "In this code, we start by initializing the `ways` variable to 0. We then use two pointers, `i` and `j`, to iterate through the array. The `i` pointer is used to keep track of the start of the current subarray, and the `j` pointer is used to keep track of the end of the current subarray.\n", "\n", "We then enter a while loop that continues until we have processed all elements in the array. Inside the loop, we use another while loop to find the end of the current subarray. This inner loop continues until we find a different element or we reach the end of the array.\n", "\n", "Once we have found the end of the current subarray, we add the number of elements in the subarray to the `ways` variable. This is because we can make a beautiful split by concatenating the current subarray with the remaining elements in the array.\n", "\n", "Finally, we increment the `i` pointer to move to the next subarray and repeat the process until we have processed all elements in the array. At the end of the loop, we return the `ways` variable, which represents the number of ways we can make a beautiful split.\n", "You: You are given two non-empty linked lists representing two non-negative integers. The digits are stored in reverse order, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list. You may assume the two numbers do not contain any leading zero, except the number 0 itself. Example 1: Input: l1 = [2,4,3], l2 = [5,6,4] Output: [7,0,8] Explanation: 342 + 465 = 807. Example 2: Input: l1 = [0], l2 = [0] Output: [0] Example 3: Input: l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9] Output: [8,9,9,9,0,0,0,1] Constraints: The number of nodes in each linked list is in the range [1, 100]. 0 <= Node.val <= 9 It is guaranteed that the list represents a number that does not have leading zeros.\n", "Chatbot: To solve this problem, we can use a two-pointer approach. We will iterate through both linked lists simultaneously and add the corresponding nodes. If the sum of the nodes is greater than or equal to 10, we will carry the extra digit to the next iteration. We will also keep track of the carry and the result.\n", "\n", "Here is the Python code for the solution:\n", "\n", "```python\n", "# Definition for singly-linked list.\n", "class ListNode:\n", " def __init__(self, val=0):\n", " self.val = val\n", " self.next = None\n", "\n", "class Solution:\n", " def addTwoNumbers(self, l1: ListNode, l2: ListNode) -> ListNode:\n", " dummy = ListNode(0)\n", " current = dummy\n", " carry = 0\n", " while l1 or l2 or carry:\n", " x = l1.val if l1 else 0\n", " y = l2.val if l2 else 0\n", " sum = carry + x + y\n", " carry = sum // 10\n", " current.next = ListNode(sum % 10)\n", " current = current.next\n", " if l1: l1 = l1.next\n", " if l2: l2 = l2.next\n", " return dummy.next\n", "```\n", "\n", "In this code, we start by initializing a dummy node and a current pointer to the dummy node. We also initialize a carry variable to keep track of the carry from the previous iteration.\n", "\n", "We then enter a while loop that continues until we have processed all nodes in both linked lists and there is no carry left. Inside the loop, we get the values of the current nodes in both linked lists. If a node does not exist, we assume its value is 0.\n", "\n", "We calculate the sum of the current nodes and the carry. We then calculate the new carry and the value of the new node. We create a new node with the value of the new node and add it to the current list.\n", "\n", "Finally, we move the current pointer to the next node and repeat the process until we have processed all nodes in both linked lists. At the end of the loop, we return the next node of the dummy node, which is the head of the resulting linked list.\n" ] }, { "output_type": "error", "ename": "KeyboardInterrupt", "evalue": "Interrupted by user", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mrun_chatbot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"pankajmathur/orca_mini_v9_5_3B-Instruct\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m\u001b[0m in \u001b[0;36mrun_chatbot\u001b[0;34m(model, system_message, max_tokens, temperature, top_k, top_p)\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 22\u001b[0;31m \u001b[0muser_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"You: \"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstrip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 23\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0muser_input\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'quit'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 24\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36mraw_input\u001b[0;34m(self, prompt)\u001b[0m\n\u001b[1;32m 849\u001b[0m \u001b[0;34m\"raw_input was called, but this frontend does not support input requests.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 850\u001b[0m )\n\u001b[0;32m--> 851\u001b[0;31m return self._input_request(str(prompt),\n\u001b[0m\u001b[1;32m 852\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_ident\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 853\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_header\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[0;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[1;32m 893\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 894\u001b[0m \u001b[0;31m# re-raise KeyboardInterrupt, to truncate traceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 895\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Interrupted by user\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 896\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 897\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Invalid Message:\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc_info\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mKeyboardInterrupt\u001b[0m: Interrupted by user" ] } ] }, { "cell_type": "code", "source": [ "# # change system message\n", "# run_chatbot(\n", "# system_message=\"You are Orca Mini, You are expert in logic, Think step by step before coming up with final answer\",\n", "# max_tokens=1024,\n", "# temperature=0.3\n", "# )" ], "metadata": { "id": "tGW8wsfAfHDf" }, "execution_count": null, "outputs": [] } ] }