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{"cells":[{"cell_type":"markdown","metadata":{"id":"DQPOXpeiqlXN"},"source":["## ๅ ่ฝฝๆจกๅ็ฝ้กต็\n","ๅฎ่ฃ
ๆ้็ๅบไปฅๅไธ่ฝฝๆจกๅไปๅบ"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":83006,"status":"ok","timestamp":1714278049910,"user":{"displayName":"Jerome Valeska","userId":"16033697576553206766"},"user_tz":-480},"id":"LwAqBoBHZWks","outputId":"62e84d9c-6cdb-4c57-e6b1-90cd2bcea2ab"},"outputs":[{"name":"stdout","output_type":"stream","text":["Git LFS initialized.\n","Cloning into 'glm-emotion'...\n","remote: Enumerating objects: 68, done.\u001b[K\n","remote: Counting objects: 100% (65/65), done.\u001b[K\n","remote: Compressing objects: 100% (65/65), done.\u001b[K\n","remote: Total 68 (delta 26), reused 0 (delta 0), pack-reused 3\u001b[K\n","Unpacking objects: 100% (68/68), 30.83 KiB | 1.71 MiB/s, done.\n","Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from -r /content/glm-emotion/requirements.txt (line 1)) (3.20.3)\n","Collecting transformers==4.30.2 (from -r 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linkify-it-py\u003c3,\u003e=1-\u003emarkdown-it-py[linkify]\u003e=2.0.0-\u003egradio==3.40.0-\u003e-r /content/glm-emotion/requirements.txt (line 5)) (1.0.3)\n","Requirement already satisfied: six\u003e=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil\u003e=2.7-\u003ematplotlib~=3.0-\u003egradio==3.40.0-\u003e-r /content/glm-emotion/requirements.txt (line 5)) (1.16.0)\n","Building wheels for collected packages: ffmpy\n"," Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=f247e55d8b9cc380a86df60827b00cb1dde4ea8bc8455ae270ef3dd9b96b9398\n"," Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n","Successfully built ffmpy\n","Installing collected packages: tokenizers, pydub, ffmpy, cpm_kernels, websockets, watchdog, smmap, semantic-version, python-multipart, orjson, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, markdown-it-py, latex2mathml, h11, aiofiles, uvicorn, starlette, pydeck, nvidia-cusparse-cu12, nvidia-cudnn-cu12, mdtex2html, mdit-py-plugins, httpcore, gitdb, transformers, sse-starlette, nvidia-cusolver-cu12, httpx, gitpython, fastapi, gradio-client, streamlit, gradio, accelerate\n"," Attempting uninstall: tokenizers\n"," Found existing installation: tokenizers 0.19.1\n"," Uninstalling tokenizers-0.19.1:\n"," Successfully uninstalled tokenizers-0.19.1\n"," Attempting uninstall: markdown-it-py\n"," Found existing installation: markdown-it-py 3.0.0\n"," Uninstalling markdown-it-py-3.0.0:\n"," Successfully uninstalled markdown-it-py-3.0.0\n"," Attempting uninstall: mdit-py-plugins\n"," Found existing installation: mdit-py-plugins 0.4.0\n"," Uninstalling mdit-py-plugins-0.4.0:\n"," Successfully uninstalled mdit-py-plugins-0.4.0\n"," Attempting uninstall: transformers\n"," Found existing installation: transformers 4.40.0\n"," Uninstalling transformers-4.40.0:\n"," Successfully uninstalled transformers-4.40.0\n","Successfully installed accelerate-0.29.3 aiofiles-23.2.1 cpm_kernels-1.0.11 fastapi-0.110.2 ffmpy-0.3.2 gitdb-4.0.11 gitpython-3.1.43 gradio-3.40.0 gradio-client-0.16.0 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 latex2mathml-3.77.0 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 mdtex2html-1.3.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.1.105 orjson-3.10.1 pydeck-0.9.0b1 pydub-0.25.1 python-multipart-0.0.9 semantic-version-2.10.0 smmap-5.0.1 sse-starlette-2.1.0 starlette-0.37.2 streamlit-1.33.0 tokenizers-0.13.3 transformers-4.30.2 uvicorn-0.29.0 watchdog-4.0.0 websockets-11.0.3\n"]}],"source":["!git lfs install\n","!git clone https://huggingface.co/Jerome2046/glm-emotion\n","!pip install -r /content/glm-emotion/requirements.txt"]},{"cell_type":"markdown","metadata":{"id":"023N9L1g0Bqf"},"source":["ๅฏๅจ่ๆฌ"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"background_save":true,"base_uri":"https://localhost:8080/"},"id":"mR75YbuWu7yH"},"outputs":[{"name":"stdout","output_type":"stream","text":["/content/glm-emotion\n","/usr/local/lib/python3.10/dist-packages/gradio_client/documentation.py:103: UserWarning: Could not get documentation group for \u003cclass 'gradio.mix.Parallel'\u003e: No known documentation group for module 'gradio.mix'\n"," warnings.warn(f\"Could not get documentation group for {cls}: {exc}\")\n","/usr/local/lib/python3.10/dist-packages/gradio_client/documentation.py:103: UserWarning: Could not get documentation group for \u003cclass 'gradio.mix.Series'\u003e: No known documentation group for module 'gradio.mix'\n"," warnings.warn(f\"Could not get documentation group for {cls}: {exc}\")\n","2024-04-28 04:20:07.748302: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2024-04-28 04:20:07.748366: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2024-04-28 04:20:07.750130: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2024-04-28 04:20:08.980266: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n","/content/glm-emotion/web_demo.py:101: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n"," user_input = gr.Textbox(show_label=False, placeholder=\"Input...\", lines=10).style(\n","tokenizer_config.json: 100% 244/244 [00:00\u003c00:00, 1.13MB/s]\n","tokenization_chatglm.py: 100% 10.1k/10.1k [00:00\u003c00:00, 35.4MB/s]\n","A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- tokenization_chatglm.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n","tokenizer.model: 100% 1.02M/1.02M [00:00\u003c00:00, 52.2MB/s]\n","config.json: 100% 1.32k/1.32k [00:00\u003c00:00, 6.93MB/s]\n","configuration_chatglm.py: 100% 2.33k/2.33k [00:00\u003c00:00, 11.2MB/s]\n","A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- configuration_chatglm.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n","Loading prefix_encoder weight from ./\n","modeling_chatglm.py: 100% 54.9k/54.9k [00:00\u003c00:00, 680kB/s]\n","quantization.py: 100% 14.7k/14.7k [00:00\u003c00:00, 49.7MB/s]\n","A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- quantization.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n","A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- modeling_chatglm.py\n","- quantization.py\n",". Make sure to double-check they do not contain any added malicious code. 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initialized: ['transformer.prefix_encoder.embedding.weight']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n","Running on local URL: http://127.0.0.1:7860\n","Running on public URL: https://06fa039979e0b08b79.gradio.live\n","\n","This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"]}],"source":["%cd glm-emotion/\n","!bash web_demo.sh"]},{"cell_type":"markdown","metadata":{"id":"AvRZYv_2_q9Z"},"source":["ไพๅญ\n","```\n","ๅๆไธ้ขๆๆฎต็ๆ
ๆ็ฑปๅ๏ผไปทๆ ผไพฟๅฎใ้
็ฝฎๅพ่ถณใไปไนๅๆ ธๅใๅ
ๅญๅคงๅใ็กฌ็ๅคงๅใๆ ็บฟๅ้ฝๆ๏ผๆๅผไธ็๏ผๅฎ็พๅฑ\n","ๅๆไธ้ขๆๆฎต็ๆ
ๆ็ฑปๅ๏ผๆฐๅนด็ฌฌไธๅคฉ๏ผๅฅฝ้พๅ....่ฟไธคๅคฉๅคช็ดฏไบ๏ผๆฒกไผๆฏๅฅฝ๏ผ่พๆฐๅๆด่บ๏ผไธๅฐๅฟ้ดๆฅไผคๅฎณไบๆๆไบฒ็ไบบ......[ๆณช]\n","```\n","## ๅ ่ฝฝๆจกๅไฝฟ็จ\n","ไธ่ฝฝ็ธๅ
ณ็ๆจกๅไพ่ตไปฅๅๆจกๅ"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2214,"status":"ok","timestamp":1714231553348,"user":{"displayName":"Jerome Valeska","userId":"16033697576553206766"},"user_tz":-480},"id":"5AS7BONJ_aM7","outputId":"d8997aa0-7b12-4757-a41c-806f90e0425f"},"outputs":[{"name":"stdout","output_type":"stream","text":["Git LFS initialized.\n","Cloning into 'glm-emotion'...\n","remote: Enumerating objects: 68, done.\u001b[K\n","remote: Counting objects: 100% (65/65), done.\u001b[K\n","remote: Compressing objects: 100% (65/65), done.\u001b[K\n","remote: Total 68 (delta 26), reused 0 (delta 0), pack-reused 3\u001b[K\n","Unpacking objects: 100% (68/68), 30.83 KiB | 1.54 MiB/s, done.\n"]}],"source":["!git lfs install\n","!git clone https://huggingface.co/Jerome2046/glm-emotion"]},{"cell_type":"markdown","metadata":{"id":"DvlKHPPsAVZr"},"source":["ๅ ่ฝฝๆจกๅ"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":58256,"status":"ok","timestamp":1714231616107,"user":{"displayName":"Jerome Valeska","userId":"16033697576553206766"},"user_tz":-480},"id":"0Efsrn6qUeEC","outputId":"240731e5-83cb-44fe-f7f9-5453e714e9f1"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n"," warnings.warn(\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"51cc21083f0942b196dbee886b37bd3b","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/244 [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"f285398671334ba2900e049567454482","version_major":2,"version_minor":0},"text/plain":["tokenization_chatglm.py: 0%| | 0.00/10.1k [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- tokenization_chatglm.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"76a6054035f345c6817227cc94629206","version_major":2,"version_minor":0},"text/plain":["tokenizer.model: 0%| | 0.00/1.02M [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"4a5493d2869d4d7a9fbc1192a888f1fd","version_major":2,"version_minor":0},"text/plain":["config.json: 0%| | 0.00/1.32k [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"2eaf86638d59469288279d9f50d27445","version_major":2,"version_minor":0},"text/plain":["configuration_chatglm.py: 0%| | 0.00/2.33k [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- configuration_chatglm.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"40bf016a938f41d3bf7a1087df93201b","version_major":2,"version_minor":0},"text/plain":["modeling_chatglm.py: 0%| | 0.00/54.9k [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"82114ed8ab1043dc8e0ce789096095fd","version_major":2,"version_minor":0},"text/plain":["quantization.py: 0%| | 0.00/14.7k [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- quantization.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n","A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n","- modeling_chatglm.py\n","- quantization.py\n",". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"241e9dffdb7f49b2a25f7c07fc9d9644","version_major":2,"version_minor":0},"text/plain":["pytorch_model.bin.index.json: 0%| | 0.00/20.4k [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"5255aefcc4a74608ab395bc7c34ff8b4","version_major":2,"version_minor":0},"text/plain":["Downloading shards: 0%| | 0/7 [00:00\u003c?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"bf7ef84ae05e4d0f89c5ba6f5ea188f3","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00001-of-00007.bin: 0%| | 0.00/1.83G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"94016e899f3040a68bafdd4a93934beb","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00002-of-00007.bin: 0%| | 0.00/1.97G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"78c4f297032143b5972ebd0c5a385f01","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00003-of-00007.bin: 0%| | 0.00/1.93G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"8e2ca16cd8f64c11a131e2c189ec22cd","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00004-of-00007.bin: 0%| | 0.00/1.82G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"06755b0f4d544d76b86fa1c328ec72ae","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00005-of-00007.bin: 0%| | 0.00/1.97G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"d82b8e45386343d1848356863370f668","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00006-of-00007.bin: 0%| | 0.00/1.93G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"e1f47f3009d149168457a6a80d6928ef","version_major":2,"version_minor":0},"text/plain":["pytorch_model-00007-of-00007.bin: 0%| | 0.00/1.05G [00:00\u003c?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"fc043a5e201945c4a3ceb882d4e89064","version_major":2,"version_minor":0},"text/plain":["Loading checkpoint shards: 0%| | 0/7 [00:00\u003c?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["Some weights of ChatGLMForConditionalGeneration were not initialized from the model checkpoint at THUDM/chatglm2-6b and are newly initialized: ['transformer.prefix_encoder.embedding.weight']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"]},{"data":{"text/plain":["ChatGLMForConditionalGeneration(\n"," (transformer): ChatGLMModel(\n"," (embedding): Embedding(\n"," (word_embeddings): Embedding(65024, 4096)\n"," )\n"," (rotary_pos_emb): RotaryEmbedding()\n"," (encoder): GLMTransformer(\n"," (layers): ModuleList(\n"," (0-27): 28 x GLMBlock(\n"," (input_layernorm): RMSNorm()\n"," (self_attention): SelfAttention(\n"," (query_key_value): Linear(in_features=4096, out_features=4608, bias=True)\n"," (core_attention): CoreAttention(\n"," (attention_dropout): Dropout(p=0.0, inplace=False)\n"," )\n"," (dense): Linear(in_features=4096, out_features=4096, bias=False)\n"," )\n"," (post_attention_layernorm): RMSNorm()\n"," (mlp): MLP(\n"," (dense_h_to_4h): Linear(in_features=4096, out_features=27392, bias=False)\n"," (dense_4h_to_h): Linear(in_features=13696, out_features=4096, bias=False)\n"," )\n"," )\n"," )\n"," (final_layernorm): RMSNorm()\n"," )\n"," (output_layer): Linear(in_features=4096, out_features=65024, bias=False)\n"," (prefix_encoder): PrefixEncoder(\n"," (embedding): Embedding(128, 14336)\n"," )\n"," (dropout): Dropout(p=0.1, inplace=False)\n"," )\n",")"]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["import torch\n","import os\n","from transformers import AutoConfig, AutoModel, AutoTokenizer\n","\n","# ่ฝฝๅ
ฅTokenizerไธๆจกๅ\n","tokenizer = AutoTokenizer.from_pretrained(\"THUDM/chatglm2-6b\", trust_remote_code=True)\n","config = AutoConfig.from_pretrained(\"THUDM/chatglm2-6b\", trust_remote_code=True, pre_seq_len=128)\n","model = AutoModel.from_pretrained(\"THUDM/chatglm2-6b\", config=config, trust_remote_code=True)\n","# ่ฝฝๅ
ฅ้ข่ฎญ็ปๅๆฐ\n","prefix_state_dict = torch.load(os.path.join(\"glm-emotion\", \"pytorch_model.bin\"))\n","new_prefix_state_dict = {}\n","for k, v in prefix_state_dict.items():\n"," if k.startswith(\"transformer.prefix_encoder.\"):\n"," new_prefix_state_dict[k[len(\"transformer.prefix_encoder.\"):]] = v\n","model.transformer.prefix_encoder.load_state_dict(new_prefix_state_dict)\n","model.half().cuda().eval()"]},{"cell_type":"markdown","metadata":{"id":"6Jg1SQqZAZPR"},"source":["็ดๆฅไฝฟ็จ"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7202,"status":"ok","timestamp":1714231625417,"user":{"displayName":"Jerome Valeska","userId":"16033697576553206766"},"user_tz":-480},"id":"W7xsBn_L_zRP","outputId":"3c4ee712-6aba-41c4-c0df-6886cb7f21b3"},"outputs":[{"name":"stdout","output_type":"stream","text":["่ฟๆฎตๆๆฎต็ๆ
ๆ็ฑปๅๆฏๆญฃ้ข็ใ\n"]}],"source":["response, history = model.chat(tokenizer, 'ๅๆไธ้ขๆๆฎต็ๆ
ๆ็ฑปๅ๏ผไปทๆ ผไพฟๅฎใ้
็ฝฎๅพ่ถณใไปไนๅๆ ธๅใๅ
ๅญๅคงๅใ็กฌ็ๅคงๅใๆ ็บฟๅ้ฝๆ๏ผๆๅผไธ็๏ผๅฎ็พๅฑ', history=[])\n","print(response)"]},{"cell_type":"markdown","metadata":{"id":"SYtr3Xl5AgRp"},"source":["ๆ่
ๆ นๆฎๆไปถๅ
ๅฎน่ฟ่กๅๆ"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7615,"status":"ok","timestamp":1714231653490,"user":{"displayName":"Jerome Valeska","userId":"16033697576553206766"},"user_tz":-480},"id":"rpW--mxfAPWf","outputId":"6896b365-b259-4039-e1d0-3a233c71a5e0"},"outputs":[{"name":"stdout","output_type":"stream","text":["0 {'response': '่ฟ็ฏๆๆฎต่กจ่พพ็ๆ
ๆ็ฑปๅซๆฏๆน่ฏ๏ผ่ด้ข๏ผใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผๅฅณๆๆฌ่ดจไธๆฏๅนณๆ๏ผไฝๆฏไธๅบๆนๅๅซๅนณๆใ ๅ ไธบ๏ผๅฆๆ็คพไผๅ
ฌ่ฎคๅช่ฝ่ฏดๅนณๆ๏ผ้ฃไนโๅฅณๆโ่ฟไธคไธชๅญ๏ผๅฐฑไผ่ขซๆฑกๅๅใๆชๆฅๅ่ฏดโๅฅณๆโ๏ผๅฐฑ่ท็ฐๅจ่ฏดโๅฅณๆณโไธๆ ท๏ผๅๆไธ็งๅฒ่ฎฝใ ่ฟไธๆญฅ่ฏด๏ผ่ฟไธชๆ่ทฏ๏ผๆฏ้ๅธธ้็ง็ๆฏ่ใ ไธพไธชไพๅญไฝ ๅฐฑๆ็ฝไบใๆ่ฟๆไธชๆฐ้ป๏ผ่ฅฟ็ญ็ๅจๆจไธไธช่ฐด่ดฃ้ๅฏนๅฅณๆงๆดๅ็ๅฎฃ่จ๏ผๆๅณ็ๅผๅฃฐๅ
ๆ็ป็ญพๅญ๏ผ็็ฑๆฏ๏ผไนๆๅฅณ็ๆ็ท็ๅ๏ผๆไปฅไธบไปไนๆไปฌ่ฆๅๅบไธไธชไธ้จๅๅฏน็ท็ๅฎถๆดๅฅณๆง็ๅฎฃ่จๅข๏ผ ๆฏไธๆฏๅฌ่ตทๆฅๅพ่ณ็๏ผ่ฟ็งไบๆ
็ๆฏๆฒกๆๆๅ้้๏ผๅคงๅฎถๆ่ทฏ้ฝๅทฎไธๅคใๅฎ่ทโๆฒกๆๅฅณๆๅชๆๅนณๆโ่ฟไธช่ฏดๆณ็้ป่พๆฏไธๆจกไธๆ ท็๏ผๆข็ถไนๆๅฅณๆง้ๅฏน็ทๆง็ๆดๅ๏ผไธบไปไน่ฆไธ้จ่ฐด่ดฃ็ทๆง้ๅฏนๅฅณๆง็ๆดๅๅข๏ผๆข็ถๅฅณๆ็ๆฌ่ดจๆฏๅนณๆ๏ผไธบไปไน่ฆไธ้จ่ฏดโๅฅณโๆๅข๏ผ ๅฏนๆญค๏ผไฝๅกไฝ ็่ๅญ่ฟๆ่ฝฌๅจ็่ฝๅ๏ผๅฐฑไผๅ็ญ่ฏด๏ผไฝ ่ฐด่ดฃไฝ ็๏ผๆ่ฐด่ดฃๆ็ๅ๏ผๆฌๆฅๅบ่ฏฅๆฏ็ๅ๏ผ่ณๅฐๆฏไบๆฐดไธ็ฏๆฒณๆฐด๏ผ็ฐๅจๅฑ
็ถๅๆไบไฝ ไธ่ฐด่ดฃไฝ ๆณ่ฐด่ดฃ็๏ผๅฐฑ่งๅฎๆไนไธๅ่ฐด่ดฃๆๆณ่ฐด่ดฃ็๏ผๅญไปไนๅ๏ผ๏ผ ่ๅฆๆไฝ ๆณๅพๅๆทฑไธๆญฅ๏ผๅฐฑไผๅผๅง็ข็ฃจ๏ผ่ฟๅฎถไผ๏ผๅนณๆถไธ่ฐด่ดฃๅฎถๆด๏ผ็ฐๅจไปฅโไนๆๅฅณๆงๅฏน็ทๆง็ๅฎถๆดโไธบๅ๏ผๅๅฏน่ฐด่ดฃโ็ทๆงๅฏนๅฅณๆง็ๅฎถๆดโ๏ผไป็ๅ่กท๏ผๅฐๅบๆฏ่งๅพๅฎถๆดๅบ่ฏฅ่ฐด่ดฃ๏ผ่ฟๆฏ่งๅพๅฎถๆด่ฟ็งไบๆ
๏ผๆ นๆฌๅฐฑๆ ๆ่ฐๅข๏ผ ็ฐๅจไฝ ๆ็ฝ่ฟไธชๆ่ทฏ็้ด้ฉไนๅคไบๅง๏ผๅฅณๆๆฌ่ดจไธๅฝ็ถๆฏๅนณๆ๏ผ่ฟๆฏไธไธช็่ฎบ้ฎ้ข๏ผ็ถ่ๅ
ณ้ฎๆฏ๏ผ็ถๅๅข๏ผ็ถๅไฝ ๆฏ็จๅนณๆ็็ฒพ็ฅๆฅๅๅบๅฅณๆ็ๅฃฐ้ณ๏ผ่ฟๆฏ็จๅนณๆ็ๅไนๆฅ้ๅถๅฅณๆ็่กจ่พพ๏ผ่ฟๆฏไธไธชๆไฝ้ฎ้ขใ ่ๆไฝๆนๅ๏ผๅฐฑๆฏ็ๅบ้ธก่ดผ็ๅฐๆนไบใ่ฝฌๅ็็ฑ://@ieaber:ๆ็ฝไบบใๆนไบโๅนณๆโๆฉ็ไบๅฅณๆงๆๅ่ขซๅฅๅคบ๏ผ่ขซๅ่ฟซ็ไบๅฎ๏ผๆฏ้ๅธธ้ธก่ดผ็่ฏๆฏใไบบๅฎถ่ฏดโlgbtๅนณๆโ๏ผไฝ ไธๅผๆงๆไธๅป้ซ้ซๅ
ดๅ
ดๆ็ๆ่ฏด่ฏดโๆๆๆงๅๅนณๆๅโ๏ผๆฉ็ไบไบบๅฎถๆฒกๅนณๆๆฏๅ ไธบไฝ ไธซๅผๆงๆไธๆ็ๆๅใๅฆ่ฎคๅ่ฟซ๏ผๆทกๅ็็พ๏ผไธๆณ่งฃๅณ้ฎ้ข'}\n","1 {'response': '่ฟๆฎตๆๆฎต่กจ่พพ็ๆ
ๆ็ฑปๅซๆฏๆคๆๅๆน่ฏใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผ\"#่ฎบๅ่ฏดไบ[่ถ
่ฏ]#ใโ9ๅฒ่ขญ่ธ๏ผ13ๅฒๆงไพตโ๏ผๆฏๅญไธๅๅบ็งไธ็ๆถๅ ๏ผ็ป็ปๅบโๆถๆโ๏ผใ ็ถๆฏๆฏๅญฉๅญๆไบฒ่ฟ็ไบบ๏ผๅญฉๅญๅ็ๅพๅคไบ้ฝๆฏๅจ็ถๆฏ็ๆๅฏผไธๅฎๆ็๏ผๆฏๅฆ๏ผๅ้ฅญใ็ก่ง้ฝๆฏไธ่ตท็๏ผไนๆฒกๆไปไนๆงๅซๆน้ข็้กพๅฟ็๏ผไฝๆฏ๏ผ้็ๅญฉๅญๅนด้พ็้ๆธๅข้ฟ๏ผๅญฉๅญๅฏนไบๆงๅซๆน้ข็ๆ่ฏไนๆธ
ๆฐๆไบ๏ผไฝไธบๅฎถ้ฟ๏ผ่ฟๆถๅๅฐฑ่ฆๅๆญข่ฟ็ง่กไธบไบ๏ผไธ็ถ้ ๆ็ๅๆ่ฐไนๆ ๆณๆณ่ฑกใ ๆกไพ๏ผ่ฑๅฝ็ไธไธชๅฐ็ทๅญฉ 9ๅฒ่ขญ่ธ๏ผ13 ๅฒๆงไพต๏ผ่ฟไธชๅฐ็ทๅญฉๅจๅฎถ้ๅๅค้ข่กจ็ฐๅบ็ๅฐฑๆฏไนไนไป็้ฃ็งๅฝข่ฑก๏ผ่ฃ
ๅพไปไน้ฝไธๆ๏ผๅคไบบๅฐฑๆฏ่ฎคไธบไปๆฏ\"\"ๅฆๅฎ็ท\"\"๏ผ่ๅฝๆฒกๆๅคงไบบๅจ็ๆถๅๅฐฑๅผๅง่ฐ้ฃไบไธๅ ชๅ
ฅ็ฎ็่ฏ้ข๏ผไนไผ้ๆๅฐ่ฐๆๅฅณๅญฉๅญ๏ผ็่ณ่ฟ่ขซไป่ขญ่ธ่ฟ็ๅฅณๅญฉๅญ็็ถๆฏๆ่ฏไป๏ผไป็็ถๆฏๅนถไธไปฅไธบ็ถ๏ผ่งๅพ่ฟๆฏๅญฉๅญไน้ด็ๆญฃๅธธไบคๅพใ ๅฏ่ฐ็ฅ้๏ผๅๅนดๅ๏ผ่ฟไธช็ทๅญฉๅฑ
็ถๅๅบไบๆงไพตๅฅณๅญฉๅญ็ไบ๏ผ่ฐๆฅๆๅ็ฐ๏ผๅๆฅ่ฟไธช็ทๅญฉ็ถๆฏไธ็ดๅๅญฉๅญๅๅบ็ก๏ผไนๆฒกๆๅฏนๅญฉๅญ่ฟ่กๅ
ณไบๆงๆน้ข็ๆ่ฒ๏ผๆไผ้
ฟๆ่ฟๆ ท็\"\"ๆถๆ\"\"ใ ๅๆ๏ผๅญฉๅญๅฐไบไธๅฎ็ๅนด้พ๏ผๅฎถ้ฟไธๅๅญฉๅญๅๅบ็ก๏ผไผ็ปๅญฉๅญๅธฆๆฅ็ๅฝฑๅใ 1ใไฟไฝฟๅญฉๅญๅคชๆฉๆงๆฉ็ ๅญฉๅญไผ้็ๅนด้พๆ
ขๆ
ขๅฐ้ฟๅคง๏ผๅฏๆฏ็ถๆฏๅด่ฟๆฏๆๅญฉๅญๅฝๅๆฏๅญฉๅญ๏ผไธ็ดๅจๆๅฟไธๆง็๏ผ่ฟไธๆฟๆๅๅญฉๅญๅๅบ็ก๏ผๅฏๆฏ่ฟๆ ทๅ้ ๆ็ๅๆๅฐฑๆฏไฟไฝฟๅญฉๅญ่ฟๆฉๆงๆ็๏ผๆฏๅ
ถไป็ๅ้พๅญฉๅญๆ็ๅพๅค๏ผๅฎถ้ฟๅจๅญฉๅญไธๅฒ็ๆถๅๅฐฑๅบ่ฏฅๅๅญฉๅญๅๅบ็ก๏ผๅญฉๅญไธๅฒๆถๅฐฑ้ๆธๆไบๅ
ณไบๆงๅซๆน้ข็่ฎค่ฏใ 2ใๅฏนๆงๅซๆน้ข็็ฅ่ฏๆจกๆฃฑไธคๅฏ ็ถๆฏไธๅๅญฉๅญๅๅบ็ก๏ผๅฐฑไผๅฏผ่ดๅญฉๅญๅญฉๅญๅฏนๆงๅซ็ฅ่ฏๆจกๆฃฑไธคๅฏ๏ผไธไผๆๅพ็ทๅฅณไน้ด็ๅบๅซๆฏไปไนใไฝๆฏ๏ผๅญฉๅญไผๆ
ขๆ
ขๅฐๆ้ฟ๏ผๅฟ็็็้ฝไผๆๅๅ๏ผ่็ถๆฏ็่ฝๅ็ๅฐฑๆฏๆๅฏผๅญฉๅญ่ฎค่ฏๅ
ณไบๆงๅซๆน้ข็็ฅ่ฏ๏ผๅญฉๅญๅฐฑไผๆ็ฝ็ทๅฅณๆๅซใ 3ใไธไผ็ฌ็ซ ๅญฉๅญๅญฆไผ่ชๅทฑไธไธชไบบ็ก๏ผๆฏ็ฌ็ซ็ๆๅฅฝ่ฏๆ๏ผๅฏนๅญฉๅญ็ๆ้ฟๆๅพๅคง็ๅธฎๅฉใๅฎถ้ฟ่ไธๅพๅๅญฉๅญๅๅบ็ก๏ผไผไฟไฝฟๅญฉๅญ่ฟไบไพ่ตๅฎถ้ฟ๏ผๅไปไนไบ้ฝ็ฆปไธๅผๅฎถ้ฟ็ๅธฎๅฉ๏ผๅพๅฎนๆๅฐฑไฝฟๅญฉๅญๆไธบ\"\"ๅฆๅฎๅญฉ\"\"๏ผๅ ๆญค๏ผๅฎถ้ฟๅฏไปฅๅนๅ
ปๅญฉๅญ็ฌ็ซๆง๏ผไปๅๅบๅ่ตท๏ผ่ฆๆฏๅฎถ้ฟไธๅๅญฉๅญๅๅบ๏ผไผไฝฟๅญฉๅญๅๅพ่ๅฐๆฆๅผฑใ ๅฎถ้ฟๅบ่ฏฅๅฆไฝๅๅญฉๅญๅๅบ็ก 1ใๆๅฏผๅ
ณไบๆงๅซๆน้ข็ๅบๅซ ๅญฉๅญ็ๆ้ฟๆฏ้่ฆ็ถๆฏ็ๅผๅฏผ๏ผ็ถๆฏไนๆฏๅญฉๅญ็ๆฆๆ ท๏ผๅ
ณไบๆง็ฅ่ฏ็ๆน้ขๆฏ้่ฆ็ถๆฏๆๅฏผๅญฉๅญ๏ผๅ
ถๅฎๅญฉๅญ็็ๆดปๅฐฑๆฏไธ็็ฝ็บธ๏ผๅพๅคไบๆ
้ฝๆฏไธๆไธๆ็ฝ็๏ผไฝไธบ็ถๆฏ๏ผๅบ่ฏฅๆ่ฒๅญฉๅญๆๅ
ณๆง็็ฅ่ฏ๏ผ่ไธๆฏ่ฎฉๅญฉๅญๆตๆๆ ็ฅ๏ผๅฏนๆงๆน้ขๅดๆฏไธ็็ฉบ็ฝ๏ผไธ็ถไผๆฏไบๅญฉๅญใ 2ใ็ปๅญฉๅญ่ถณๅค็ๅฎๅ
จๆ ็ถๆฏๆปๆฏ่ฎคไธบๅญฉๅญๆฐธ่ฟ้ฟไธๅคง๏ผ่ฟๆ ท็ๅญฉๅญๆฏๅพ้พๆ้ฟ่ตทๆฅ๏ผๅญฉๅญๆฌ่บซๅฐฑๆฏๅฏนๆง็ฅ่ฏๆฏๆตๆๆ ็ฅ็๏ผ่ฆๆณๅๅญฉๅญๅๅบ็ก๏ผ็ถๆฏๅบ่ฏฅ็ปๅญฉๅญๅๅฅฝๅฟ็ๅๅค๏ผๅซ่ฎฉๅญฉๅญ่ขซๅจๆฅๅ๏ผ่ๆๆถๅๅญฉๅญ็ฆปไธๅผ็ถๆฏๅฐฑๆฏ็ผบๅฐๅฎๅ
จๆ็ๆๅฅฝ่ฏๆใๅจๅๅญฉๅญๅๅบ็กไนๅ๏ผๅบ่ฏฅ็ป่ถณๅค็ๅฎๅ
จๆๅญฉๅญใ ๆป็ป๏ผๅญฉๅญ็ปๆไธๅคฉไผ้ฟๅคง็๏ผๆปไผ่ฑ็ฆป็ถๆฏ็ๅบๆค่้ซ้ฃ็๏ผ่ฟๆถๅ็ถๆฏๅฐฑ่ฆ็ปไบๅญฉๅญ่ถณๅค็็ฉบ้ด๏ผ่ฎฉๅญฉๅญๅญฆไผ็ฌ็ซ๏ผๅนถ็ปไปไปฌๆญฃ็กฎ็ๆๅฏผ ๏ผๅบ่ฏฅๆไผๅญฉๅญไปไนๅบ่ฏฅๅไปไนไธๅบ่ฏฅๅ๏ผๅซๅ ไธบ่ชๅทฑๅฏนๅญฉๅญ็ๅฎ ๆบบ่ๆฏไบๅญฉๅญใ#่ฎบๅ่ฏดไบ#่ฝฌๅ็็ฑ:่ฝฌๅๅพฎๅ\"'}\n","2 {'response': '่ฟๆฎตๆๆฎต่กจ่พพ็ๆ
ๆ็ฑปๅซๆฏๆคๆใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผๆญฆๆฑไธๆๅๅ ่บ็ไธ่ฝๆญๅฎๆฏSARS@ๆๆบๆต่งๅจ ๆญฆๆฑไธๆๅๅ ่บ็ไธ่ฝๆญๅฎๆฏSARS ไธๆตท ๆพ็คบๅฐๅพ'}\n","3 {'response': '่ฟๆฎตๆๆฎต็ๆ
ๆ็ฑปๅซๆฏๆญฃ้ข็ใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผไผๆฏๅฆๅธๅฐ Dr.B ๆฝ่๏ผ่่ชไธฐ่้ข่ฏ ๆกไพๅคชๆ่ณ๏ผ็ๅฐ็ซๅปๅฎไบๆบ็ฅจ้ฃ่ฟๆฅ้ข่ฏใ ็ฌฌไธๆฌกๆฅ็ฉๆฏๆๅฝๅฎถ่ฟๆฏๆ็นๅฎณๆ๏ผๅฎไบๆบ็ฅจๅผๅงๅๆ๏ผๆณ็ๅบ่ฏฅ่ฟๆฏไผๅจ็พๅฝๅใไธ่ฟๆฅไบไปฅๅๆณๆณๅฎๅ
จๅไบใ ้ฆๅ
ๅฐฑๆฏ๏ผๅ่ณๅ
ถๅคชๅฅฝ็ฉไบ๏ผๆๅๅ่ช็ถๆฏ่ง้ฝๅพๆฃ๏ผๅ่ณๅ
ถๅๅฒๆ ไน
๏ผๆๅ้ไบงไนๅคๅ ชๆฏๆๅคงไธญๅ๏ผๅฐไธญๆตท้ฃๆฏไผ็พใๅ
ถๆฌกๅฐฑๆฏๅ่ณๅ
ถๅฑ
็ถๆบๅ่พพ็๏ผไผๆฏๅฆๅธๅฐไธๆฏไธๆตทๅ้ฆๅฐๅทฎๅง๏ผไบค้ๆนไพฟ๏ผๅๅธ็ฐไปฃๅใ ้็น่ฆ่ฏด้ข่ฏๅฏใๅป็ๅคชๅคๅฅไบ๏ผๅทฅไฝๆถ้ดไปๆฉไธ8็นๅฐๆไธ8็น๏ผไฝๅๆไบบๅ๏ผ่ฏ่ฏด่ฟ่พน้ฝๆฏ็่ตทๆฅๅพ่ก็ๅฃฎๆฑใใใ๏ผ้ข่ฏๅฐ็นๅจไผๆฏๅฆๅธๅฐๆ้ซๆกฃ็่ดญ็ฉไธญๅฟ้้ข๏ผไปๆๅฑไบ่ชๅทฑ็ๅๆๆฏ็ๅป้ขๅจ้่ฟ๏ผไป่ฏดๅป้ขๆฏ้ข่ฏๅค่ฟ้ซ็บง๏ผๅ ไธบไป็ๅฎขไบบ้ฝๆฏๆฌงๆดฒๆฅ็่ดตๆ่ดตๅฆใ ้ข่ฏๅพๅฟซ๏ผๆฒกๆๅ็พๅฝๅป็้ฃไน่ฏฆ็ป๏ผๆ่ฑๅฎไป็ไบไธไธๅฐฑ่ฏด๏ผ็ฅ้ไฝ ่บซๆๅฅๆ ทไบ๏ผๅๅง๏ผไผๆradical change๏ผ็ถๅๅฐฑ่ฎฉๆ็ฉฟ่กฃๆใๅบๆฅไปฅๅๆ่ชๅทฑไธปๅจ้ฎไบๅ ไธช้ฎ้ขใ 1.ๆฝ่ไฝฟ็จ็ไปชๅจ ๅ็พๅฝๅป็ไธๆ ท๏ผ็จ็ๆฏpower-assisted๏ผไธ็จๅจๅกใ็พๅฝ็็ๅพๅฐๅพๅฐๅป็็จๅจๅก๏ผๅคงๅคๆฐ็จ็้ฝๆฏpower-assisted็๏ผDr.Bไน่ฏดpower-assistedๆๅฅฝ๏ผไธ่ฟ็ไป่ฑ่ฏญไธๆฏๅพๅฅฝ็ไบๅญๆๆฒก้ฎๅๅ ๏ผๅจ็พๅฝๅป็้ฃ่พนๅทฒ็ป้ฎ่ฟๅพๅคๆฌกใ 2.Dr.Bๅพๅคๆกไพๆฏๅ็็ฎ่คๆฏๆฏๅ่ฟ็ดง่ด๏ผๆ้ฎไปๆไนๅๅฐ็ใ ไป่ฏด่ฟๆฏไธชbig work๏ผไพ็ถ่ฑ่ฏญไธๆฏๅพๅฅฝ็ไบๅญ๏ผ๏ผ้ ไป็ฅๅฅ็ๅๆ[ๅ
ๆฒ] ๅฆๅคไปๅๅพๅค็พๅฝๅป็ไธๆ ท๏ผๆฝ่ๅไผ็จJ-plasmaๆถ็ดง็ฎ่คใๆไบๅป็่ฏดJ-plasmaๆฒก็จ๏ผไฝไนๆไธๅฐๅป็่ฏดๆ็จ๏ผๆ่งไธ็ปไธ๏ผไธ่ฟไป็ๆกไพ็กฎๅฎๅพ็ดง่ดไบใ 3.ๆฏๅๆค็ ่่ชไธฐ่ๆๆฏๆ้บป็ฆ็ๅฐฑๆฏๆฏๅๅฅฝไน
ไธ่ฝๅ๏ผ็พๅฝไธ่ฌ่ณๅฐ2ๅจ๏ผๅค็็่ณ6ๅจ๏ผDr.B่ฏดๅช่ฆไธๅจ๏ผ่ฟไธชๅคชๅฟๅจไบ๏ผไธ็ถๆฏๅๅพ้พ็ฌใ 4.ๆฅไปท ๆฝ่
ฐ่
น๏ผ่๏ผๅกซๅ
ๅฐ่้จ๏ผไธๅ
ฑๆฏ1.3ไธๆฌงๅ
ใ 5.ๅพไธๆฏๆดๅฝขไฟ้ฉ๏ผไธคๅนดๅ
้่ฆไฟฎๅค็่ฏ๏ผๆไฟ้ฉcover๏ผ้็จไบๅ ๅ
ฅไบISAPS่ฟไธช็ป็ป็ๆๆๅป็ใ่ฟไธชไฟ้ฉ็ฌฌไธๆฌกๅฌ่ฏดใ 6.ๅพไธๆฏDr.B่ฏด่ทๆๆฅ่ฟ็่บซๆ๏ผๆ่ฝ่พพๅฐ็ๆๆ[ๅ
ๆฒ]ๅพๅๆฏไฟฎๅคๆฝ่ๅๅนๅธไธๅนณ็ฎ่คๆพๅผ็ๆกไพใ 7.ไป่ฏดๆไธ้่ฆๆฝๆ่๏ผไฝๆฏๆๆ็็พๅฝๅป็้ฝ่ฎคไธบๆๅบ่ฏฅๆฝ๏ผๅนถไธๆฝ็ๆๆไผๅพๅฅฝใ้กถๅฐ็ๅป็ไนๅญๅจๅฎก็พๅๆๆฏๅทฎๅผ๏ผ่ฟไธชๅป็ๆ่ฎคไธบๆฏๆดๆ
้ฟ่
ฐ่
น่๏ผไธๅคชๆ
้ฟๆ่ๆๅคง่
ฟ็ใๆฝ่ๆๅฅฝ่ฟๆฏๅ้จไธบๆพไธๅ็ๅป็ๅใ 8.Dr.B่ฏดๆฝ่ๅๅบ่ฏฅๅๅไธชไธๅๅ
ฌๆค๏ผ่ฟๆ ทๅกๅฝขๆๆๆดๅฅฝ[ๅ
ๆฒ][ๅ
ๆฒ][ๅ
ๆฒ]็พๅฝๅป็้ฝๅ่็นๅๆฝ[doge][doge][doge]ไนไธ็ฅ้ๆฏ็พๅฝๅๆฌงๆดฒ่งๅฟตๅทฎๅผใ่ฟ้็พๅฅณๆฏ็พๅฝๅคๅพๅค๏ผๆๅจ่ทฏไธ็ปๅธธ็ฎไธ่ฝฌ็ๅฐ็ฏ็็พๅฅณ็ใ 9.้ข่ฏๅฎ๏ผ้ฎไบๆไธไธ้ไธ้่ฆไปไปฌๅ้ขๅ่็ณปๆ๏ผ็ถๅๅฐฑ็ดๆฅ่ฎฉๆ่ตฐไบ๏ผๆฒกๆไปปไฝๆจๆๆฏ็่กไธบใไปไบ้ข่ฏ่ดน100ๆฌงๅ
ใ http://t.cn/RU1y3lA่ฝฌๅ็็ฑ:ๅ่ณๅ
ถๆฝ่'}\n","4 {'response': '่ฟๆฎตๆๆฎต่ฝ่กจ่พพ็ๆ
ๆ็ฑปๅซๆฏๆข่ฎจๅๅๆใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผ็ถๆฏๅธธ่ฏด๏ผๆไปฌไธๅฎ่ฆ็ปๅญฉๅญๆๅฅฝ็ใไฝๆฏๅฆไฝๅฎไนโๆๅฅฝ็โ๏ผ ๆๅ
ฑ่ฏ็ๅฐฑๆฏๆๅฅฝ็ๆ่ฒ๏ผๅณๆๅฅฝ็ๅญฆๆ ก๏ผๆๅฅฝ็ๅฑ
ไฝ็ฏๅข๏ผๆๅฅฝ็ไฝ้ชๆฏๅฆๆ
ๆธธ๏ผๆๅฅฝ็่ฏพๅคๆดปๅจๆฏๅฆๅ็งๅ
ด่ถฃ็ๅนๅ
ป็ญ็ญใๆ่ฎคไธบ่ฟ้ฝไธๆฏไปๅญฉๅญๅ่บซ่งๅบฆ่่็ๆๅฅฝ๏ผ้ฃไนๅฏนไบๅญฉๅญ่่จ๏ผไปไนๆฏๆๅฅฝ็๏ผ ๆฏๆ ๆกไปถ็็ฑใ่ฟไธชๆๅฅฝๆฏๆ ่ฎบ็งๆ็คพไผๅฐไฝ็ๆฏไธช็ถๆฏ้ฝ่ฝ็ปๅญฉๅญ็ใๅฏๆ็ๆฏ๏ผๅพๅค็็ถๆฏ๏ผๆ ่ฎบไบ่ฃ่ฟๆฏๆฌง่ฃ๏ผๅง็ปไธ่ฝๆ็ฝไธไธชๆ็ฎๅ็้็๏ผๅฐฑๆฏไปไปฌ่ฎคไธบๆๅฅฝ็ไธไธๅฎๆฏๅซไบบๆๆณ่ฆ็ใไปๅคฉๆๅผบ็ๅฐๆๅๅฐ่ฟ็นใๆๅๅๅๅ่ฏๆ๏ผๅฅนๅฅณๅฟ็ไธคไฝๅคงๅญฆๅฅฝๅ๏ผไธไธชๅผๅญฆๅ่ชๆไบ๏ผๅฆไธไฝๆ็ฎ้ๅญฆใไธคไฝ้ฝๆฏ็งๆ กๆฏไธ็ไผ็ญ็๏ผไธ็ๆฏ่ฑๅฝ้กถๅฐๅคงๅญฆ็ๅปๅญฆ็ณปใไธไธชไบ่ฃ๏ผไธไธช่ฑ่ฃใๆฒกๆไบบ็ปๅบ้กถๅฐๅคงๅญฆไผ็ญ็ๅ ๅฟ็้ฎ้ข่พๅญฆ็ๆฐๅญ๏ผไฝๆๅฏไปฅ่ฏๅฎๅฐ่ฏด๏ผ่ฟไธชๆฏไพ้ซๅฐๆไปฌๆ ๆณๆณ่ฑกใๅจๆ่ฎค่ฏ็ๅ ๅฎถไบบ้๏ผๅฐฑๆไผ็ญ็้ฟๆๆ้็ไธคไฝ๏ผ่ฟๆไธคไฝๆ่ช้ญๅพๅ๏ผ่ฟๆๅ ไฝไธๅ็จๅบฆๅฐๆฟๅ็ๅฟ็้ฎ้ขใๆไธ่ฝไฟ่ฏๆ็ๅญฉๅญๆญค็ไธ่ขซๅฟ็้ฎ้ขๅฐๆฐ๏ผไฝๆๅฏไปฅไฟ่ฏ็ปไปไปฌๆๅฅฝ็๏ผๅฐฑๆฏๆ ๆกไปถ็็ฑๅๅฐ้ใไธๆฌก่่ฏไธๅฅฝ๏ผๅคฉๅกไธไธๆฅ๏ผ ไธไธชไธไธๆฒก้ๅฅฝ๏ผๅคฉๅกไธไธๆฅ๏ผ ๅทฅไฝๆๆถๆ ็่ฝ๏ผๅคฉๅกไธไธๆฅ๏ผ ๅคงๅญฆๆฒก่ฝ่ฟๅ
ฅๅฟไปช็๏ผๅคฉๅกไธไธๆฅ... ่ฟๆฏ้ฃๅฅ่ฏ๏ผ้คไบ็ๅฝ๏ผไธๅ้ฝๅฏไปฅไปๅคดๅๆฅ๏ผ่ฝฌๅ็็ฑ:ๆฏ่ฟๆ ท็ใ'}\n","5 {'response': '่ฟๆฎตๆๆฎต็ๆ
ๆ็ฑปๅซๆฏๆฐ้ปๆฅ้ใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผใ[่ฏ็ญ]#ๅ
ฐๅทๅ
ฝๅป็ ็ฉถๆๅธ้ฒๆฐ่้ณๆงไบบๆฐๅข่ณ96ไบบ# ็ฎๅๅไธบ้ๆงๆๆใ่ฎฐ่
ไปๅ
ฐๅทๅธ็พๆงไธญๅฟไบ่งฃๅฐ๏ผๆช่ณ12ๆ7ๆฅไธญๅ12็น๏ผๅทฒ็ปๅฏนๅ
ฐๅทๅ
ฝๅป็ ็ฉถๆ317ๅๅธ็่ฟ่กๅธ้ฒๆฐ่ๆฃๆต๏ผๅ
ถไธญ96ไบบๅ่กๆธ
ๅญฆ้ณๆง๏ผ็ฎๅๅไธบ้ๆงๆๆ๏ผๆ ๆๆพ็็ถใไธๅฎถๆ็คบ๏ผๅธ้ฒๆฐ่็
ไบบไธไบบไผ ๆๅ ็ๆไฝ๏ผ็ฎๅๆฒกๆ่ฟไบบ้ดไผ ๆ็
ไพใ๏ผๅคฎ่ง๏ผ่ฝฌๅ็็ฑ:่ฝฌๅๅพฎๅ'}\n","6 {'response': '่ฟๆฎตๆๆฎต่กจ็ฐๅบไธ็งๅ
ดๅฅๅๆฟๅจ็ๆ
ๆ,ๅ ไธบๅฎๅ
ๅซไบๅคไธชๆๅนๅทๅ็ฅ็ฆใๅฎไผผไนๅจๆฌข่ฟๆไธชไบไปถๆไบงๅ,ๅนถๆ่ฟฐไบๅคไธชไธๅ็ไธ่ฅฟใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผ\"ๆฅไบ๏ผ๏ผ๏ผๅๅไบๆฅไบ๏ผ18ๅผ ๅพ๏ผ๏ผ๏ผ ไนๅทๆไธ8็นๆฏๆณไปฃๅๆฅไปฃๅผๅง๏ผๅๅทๆไธ8็นๆฏ็ซ็ฐๅบๅผๅง๏ผๆณไปฃๆ่ทฏๅฃ่ฏๅทงๅ
ๅ/้ปๅทง๏ผkikoๅฃ่ฏ้้๏ผFilorga็้ซ็ซฏๅๅNCEF็ณปๅ๏ผ้
่ฏๆฆA้็ณปๅ๏ผ็็ฉ่ฝ้กถ็บง็ณปๅ๏ผๅฝ็ถ่ฟๆsvr๏ผsesderma๏ผๅคฉ้ฒ่ฌ็็ฝ่ๆธ
ไป'}\n","7 {'response': '่ฟๆฎตๆๆฎต่ฝ่กจ็ฐๅบไบๆฅ็ฏ้ฃ็ๅฃฎ่งๅ็พไธฝ,ๆ่ฟฐไบไบบไปฌ่งๆตๅฐ็ๆฅ็ฏ้ฃๆฏ่ฑก,ไปฅๅไธๅๅฐๅบ็ๆฅ็ฏ้ฃๅ็ๆถ้ดๅๆ็ปญๆถ้ดใๆๆฎตๆฒกๆ่กจ่พพๆ
ๆ่ฒๅฝฉๆๆๅบฆใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผใ#้็ฏๆฅ้ฃๅฅ่ง26ๆฅไธๆผ# ๆๅฝๅ
จๅขๅฏ่งๆฅๅ้ฃใๆฌๆ26ๆฅๅคฉๅฎๅฐไธๆผๅฃฎ่ง็ๆฅ็ฏ้ฃๅคฉ่ฑกใๅคฉๆไธๅฎถ่กจ็คบ๏ผๆฌๆฌกๆฅ็ฏ้ฃๅ็ๆ้ด๏ผๆๅฝๅ
จๅข้ฝๅฏไปฅ่งๆตๅฐๆฅๅ้ฃ๏ผไธ่ถๅพๅ้ฃๅ๏ผๆไบฎ้ฎไฝๅคช้ณ็ดๅพ็ๆฏไพ๏ผ่ถๅคงใ ๅฝๅคช้ณใๆ็ๅๅฐ็ๆๆไธๆก็ด็บฟ๏ผๆ็ไฝไบไธค่
ไน้ดๆถๅฐฑไผๅ็ๆฅ้ฃๅคฉ่ฑกใๆฅ้ฃๅๅๅ
จ้ฃใ็ฏ้ฃๅๅ้ฃ๏ผๅฆๆๅฝๅคฉๆ็่ท็ฆปๅฐ็่พ่ฟ๏ผ่ๅคช้ณ่ท็ฆปๅฐ็่พ่ฟ๏ผๆ็็่งๅ้ข่พๅฐ่ไธ่ฝๅ
จ้จ้ฎๆฉๅคช้ณ๏ผๅฐฑไผๅ็ๆฅ็ฏ้ฃใๆฅ็ฏ้ฃๅ็ๆถ๏ผๅคฉ็ฉบไธญ็ๅคช้ณๅๆไบไธไธชๅ็ฏ๏ผ้ๅ
็ฟ็ฟ็นๅฆไธๅชโ้ๆ็ฏโใ ไธญๅฝๅคฉๆๅญฆไผไผๅใๅคฉๆดฅๅธๅคฉๆๅญฆไผ็ไบๅฒๅฟๆไป็ป่ฏด๏ผๆญคๆฌกๆฅ็ฏ้ฃๅฐไบๅไบฌๆถ้ด26ๆฅ10ๆถ29ๅ50็งๅผๅง๏ผ่ณ16ๆถ05ๅ43็ง็ปๆญข๏ผๅ็ป5ไธชๅคๅฐๆถใ็ฏ้ฃๅธฆไปไธญไธๅฐๅบๅผๅง๏ผ็ปๅฐๅบฆๅ็ซฏใๆฏ้ๅ
ฐๅก๏ผ่ฟๅ
ฅไธๅไบ็ๅฐๅบฆๅฐผ่ฅฟไบใๆฐๅ ๅกใ้ฉฌๆฅ่ฅฟไบ็ญๅฝ๏ผๆๅ็ปๆไบ่ฅฟๅคชๅนณๆดไธใ่ฟๆฌก็็ฏ้ฃๅธฆๅนณๅๅฎฝๅบฆๅจ115ๅ็ฑณๅทฆๅณ๏ผ่ง้ฃๅฐๆ้ฟๆถ้ดๅฏไปฅ็ๅฐ3ๅ40็งๅทฆๅณ็็ฏ้ฃใ โ10ๆถ56ๅๅทฆๅณๆไบฎๅๅฝฑ่ฟๅ
ฅๆๅฝ่ฅฟ่้ฟ้ๅฐๅบ๏ผ่ๅๆไบฎๅๅฝฑๅไธๅไธๆซ่ฟไธญๅฝๅ
จๅข๏ผๆๅฝๅๅฏ็ๅฐไธๅ็จๅบฆ็ๆฅๅ้ฃ๏ผๅ
ถไธญ๏ผๆตทๅ้ฃๅๆๅคง๏ผไธบ0.499๏ผๆผ ๆฒณ้ฃๅๆๅฐ๏ผไธบ0.021ใ15ๆถ37ๅๅๆไบฎๅๅฝฑ็ฑๆตทๅ็็ฆปๅผๆๅฝ๏ผๅฏนๆๅฝๆฅ่ฏด๏ผๅฏ่งๆฅ้ฃๆถ้ดๅๆถ4ไธชๅคๅฐๆถใโๅฒๅฟๆ่ฏดใ ๅคฉๆไธๅฎถ่กจ็คบ๏ผ่ฝ็ถไธๅๆฅๅ
จ้ฃๅๆฅ็ฏ้ฃ่ฌๅฃฎ่ง๏ผไฝๅ้ฃไบฆ็ฒพๅฝฉ๏ผๅฑๆถ๏ผๅคช้ณ็ผบไบไธไธช่ง๏ผๅฅฝไผผ็็่ขซไผ ่ฏดไธญ็ๅคฉ็ๅฌๆไบใ๏ผ่ฎฐ่
ๅจๆถฆๅฅ๏ผ่ฝฌๅ็็ฑ:ๆๅพ
[ๆค็ผ]'}\n","8 {'response': '่ฟๆฎตๆๆฎต็ๆๆ
็ฑปๅซๆฏๅป็ใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผ็ฎ่ค็งๅฐๅป็่ฎฒ็งๆฎ ็ฎ่ค็งๅฐๅป็็็
ไพๅไบซ ๆๅนณ็ฃๆฏ็ฑไบบไนณๅคด็ถ็ค็
ๆฏ๏ผHPV๏ผๆๆๅผ่ตท็็
ๆฏๆง็พ็
ใไธดๅบ่กจ็ฐไธบ็ฎ่ฒๆ็ฒ็บข่ฒ็ๆๅนณไธ็น๏ผ[้ฑ][้ฑ][้ฑ][้ฑ]KBSๅฏผๆญๅค่งไบ้ข้จๅๆ่๏ผๆ ๆๆพ็่ช่ง็็ถ๏ผ็
็จๆ
ขๆงใๅฏ้่ฟ็ดๆฅๆ้ดๆฅ็ๆฅ่งฆไผ ๆใๅฅฝๅไบ้ๅฐๅนด๏ผๅฏ็ช'}\n","9 {'response': '่ฟๆฎตๆๆฎต่กจ่พพ็ๆ
ๆ็ฑปๅซๆฏๆๆ
จๅๅฑๅฟใๅฎ้่ฟไธไธช็พๅฝๅฐๅฅณๅญฉๅไธไธชไธญๅฝๅฐๅฅณๅญฉ็ไธๅไบบ็็ฎๆ ๅผ่ตทไบไฝ่
็ๆๆ
จ๏ผๅนถๅผบ่ฐไบไบบไปฌๅบ่ฏฅๅ
ณๆณจ่ชๅทฑ็ๅๅฟๅ็ๆญฃ็็ฑๆ
๏ผ่ไธๆฏๅ
ณๆณจๅค่กจๅ่ดขๅฏใ', 'content': '่ฏทไธๅๆๆฎต็ๆ
ๆ็ฑปๅซๆฏไปไน๏ผ่ฟๆฏไธไธช็พๅฝๅฐๅฅณๅญฉไธไธไธชไธญๅฝๅฐๅฅณๅญฉไธๅ็ไบบ็็ฎๆ ๏ผ็ๅฎ่ฎฉไบบๅฟ็๏ผๆ็ธไฟก่ฟ็ปไธๆฏไธชไพใ ็็่
ๅณๆ
็ๅพฎๅ่ง้ข ่ฝฌๅ็็ฑ://@่ฑ็ซ็ๅญ://@ไผไบบ5200:ไธญๅฝๅฐๅฅณๅญฉๆฒน่
ปๆฏๆฒน่
ป๏ผไฝไนๆฏๅคงไบบๆ็ใๅ
ณ้ฎๆฏๅฅฝๅคๅฅณๅญฉ้ฟๅคงๅๆ้ฝๆฏโๅฟไบๅๅฟโ๏ผๆพ็ไบบๅฏไธๆฏโๅธ
็๏ผๆ้ฑ๏ผๆๅญฆ้ฎ๏ผไฝๅซๅข
็โ๏ผ่ๆฏไธบไบโ็็็็ฑๆ
โๅคงๆๅคงๆ็บ็ฒๅฅ็ฎ๏ผ็่ณๆๅฝ้ฝๆญไธ็ใ่ฟ่ฐไปไนไธชไบบ็ๆณๅๆขฆๆณๅใ'}\n"]}],"source":["import json\n","with open('/content/drive/MyDrive/dataset/cov.json', 'r') as file:\n"," data = json.load(file)[:10]\n"," new_data = []\n"," cnt = 0\n"," for item in data:\n"," response, history = model.chat(tokenizer, item['content'], history=[])\n"," tmp = {'response': response, 'content': item['content']}\n"," print(cnt, tmp)\n"," new_data.append(tmp)\n"," cnt += 1"]}],"metadata":{"accelerator":"GPU","colab":{"authorship_tag":"ABX9TyNiTML5o/bkiNweTL6n/g8R","gpuType":"V100","machine_shape":"hm","mount_file_id":"1utSISwoV82tjVEsd4zcBKezG5upk1zq9","name":"","provenance":[{"file_id":"1Br1s2ab4XCMUGOTHeWtIyTmRy1jyqjGO","timestamp":1714111399153}],"version":""},"kernelspec":{"display_name":"Python 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