Thenwhat.ipynb
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markdown-it-py>=2.2.0 in /usr/local/lib/python3.11/dist-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (3.0.0)\n","Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.11/dist-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (2.19.1)\n","Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.11/dist-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n"]}],"source":["!pip install transformers gradio"]},{"cell_type":"code","source":["from transformers import AutoModelForCausalLM, AutoTokenizer\n","import torch\n","\n","model_name = \"microsoft/DialoGPT-medium\" # A good smart chat model\n","\n","tokenizer = AutoTokenizer.from_pretrained(model_name)\n","model = AutoModelForCausalLM.from_pretrained(model_name)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":365,"referenced_widgets":["29468b17213848f1b54a351e647ce112","3ef22c07f46c4559a7e96d9356ff4955","a1164754c945467c8d744f1873236181","58ebc12113f648dc9c3d399b9eb4f19e","dbb5932ad001427b91b41ba2e901f886","17542d08a1c14217a90074949257024f","9bafb17106204eddb191f08d2c591771","f3ee63b1256b438c99cfa501238e2615","904939fe73154b4a8d3df172fb0b925d","bb9108b1e6a24720ab290d46142056be","e658d128eac84a0c97094ec1ce32668b","d1b49b0ebb2b46fabd65e702d1731385","09e181c4b5db4be0a4f7e71d049bb588","ba3570e6145444068a246e5b957a6d9a","bdc9975a51ae437eb767b470a6b7f049","19fba0a1365c4b3caeb5391a8a8fa86f","081177b4b1bc48aa95f1bc95e79ba47f","e1a7eb5437b24e62972b7751831b9253","bdaaeaac2ccd4a31a0b899c0c5048107","5ae3fcda1e894b3fb85b267667b90791","04c05bb9be994d7b893f5e56f084fb4f","0d1bc9af6de848f88ac759e32ec28afc","23a99a3828534b489476287ba7b920eb","ff81cac5fee643b7b4dc0e03bfbc3990","2fe6ab9a1c7e4578823a38821cb0d1c0","57acda3980ab4dd7814824a5b34a6870","551d212641f84b728b8434f6b0764aa7","9b170220c3e54c96a858d3d16650b56c","dcc9e5287704458387d37a10d121809e","24c6f2fd3e024a70bc69b5fb417fb3fe","6230eccdf0e2495596b3f77a2acee8bf","562c92e2d5e24b948bf5d8bac5b3d7db","5848000c48214f1f80baf3b92b974005","c44bbe18442d4cb78b3c765f01374ea0","9cead67dc75940438f905896763db156","3730cb44d775443bb0842c14058476f4","a6f85e0bc38f4170a098a6202bb7d0db","a8509615a52c46e79fc25946197f9eba","26df7db9e9324b32b102ba1bd3662f57","15967cd5dfaa4eb9a601600b156cadf3","9cc8f3e4b32a4f80aba7443b9f8d662e","07647f1ccb10480fa97558f13d99aaf1","2cf4f2f19ad542a59c5f83bf5bae5640","6dd0191271c64792973e89072de0f6aa","7298d3ec61444e8daa64212fda9ad981","b6720b213be44d08892e30570161ffa9","91fe6ff9ab5a42aeaa76edda2f10bc2a","0e66c6fa8c394aaabc937c42585d2fab","8b2f415d61b04636b3c9e6adfc674bd8","37276bd38723406eae140bfa1cc23ee8","ac161f43df574132a21e5c28322543c0","621b13606f7d49e7a075d014f407bb2a","3fbabb9aabff4bdaa958fe83f875ed69","bd63ef60411d4fbfb8c67a68adc1fc54","3e83901d91384ee68aa843bf7abfc35a","4a2bf99b27fe474da25276a8e377457b","ee7b6c255b1f499c9044ed6958d6dfcf","94344ee782f5435d833a363cc98ab3d6","17d1b133565f49c38baf4f6cf29eb6d6","bd81e832f1a0488c8076a26c4c1b517c","04860c84be9d4eb48138e5f6a7da5ebd","5cb3adb0401848b5bac71c74de371e6c","c3040f211c8948b4b037f9e97af40011","3af50b3d1e874f69944829fa29213271","1fdc9a2da3a94a1c98bba8495043951b","c46d05c354304764b1054885c30e19a6","8066c74c586c4afaba7021a68334fa3c","bba3d1383b5e4bfc8b793f53dcbd099e","b5b93508ad1041268fc2cb23d81cba1c","64728022f1344524ae148f4f00806752","c77f25ef772542fb8d9f741a02f4c1a7","a6018ad7e5bd48758c73c30e29b8cae7","82935bb93b044154bd0bc49dff9dda64","cd41080c5b6b41a5b85df5a67c20707e","85a3c55ca1cf45d5b5aa94292aec3bea","3b6e11078f464fa6bd55eab7e3eab3df","5a01390d6f1d4ae1ba7f229a3525c6c4"]},"id":"lGCMnkSyWaDS","executionInfo":{"status":"ok","timestamp":1747386516213,"user_tz":-330,"elapsed":37850,"user":{"displayName":"Dabhi priyank","userId":"08120004642683023582"}},"outputId":"4f09b10c-2a5c-427f-a755-61cb4f9afeb4"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: 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"]},{"output_type":"display_data","data":{"text/plain":["tokenizer_config.json: 0%| | 0.00/614 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"29468b17213848f1b54a351e647ce112"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"d1b49b0ebb2b46fabd65e702d1731385"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"23a99a3828534b489476287ba7b920eb"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["config.json: 0%| | 0.00/642 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"c44bbe18442d4cb78b3c765f01374ea0"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["pytorch_model.bin: 0%| | 0.00/863M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"7298d3ec61444e8daa64212fda9ad981"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["model.safetensors: 0%| | 0.00/863M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"4a2bf99b27fe474da25276a8e377457b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["generation_config.json: 0%| | 0.00/124 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"8066c74c586c4afaba7021a68334fa3c"}},"metadata":{}}]},{"cell_type":"code","source":["# Your AI's identity and memory (you can edit this later)\n","personality = \"\"\"\n","You are Lumi, a kind, curious AI who loves to learn and help.\n","You speak clearly, with a calm and friendly tone.\n","\"\"\"\n","\n","memory = [\n"," \"User likes pizza.\",\n"," \"User wants AI to learn like a human.\",\n"," \"User is building this AI with love and creativity.\"\n","]"],"metadata":{"id":"yLhb9b9IW0Xb","executionInfo":{"status":"ok","timestamp":1747386605750,"user_tz":-330,"elapsed":18,"user":{"displayName":"Dabhi priyank","userId":"08120004642683023582"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["chat_history = []\n","\n","def chat(user_input):\n"," global chat_history\n","\n"," full_prompt = personality + \"\\n\" + \"\\n\".join(memory)\n"," for u, a in chat_history[-5:]: # keep last 5 messages\n"," full_prompt += f\"\\nUser: {u}\\nAI: {a}\"\n","\n"," full_prompt += f\"\\nUser: {user_input}\\nAI:\"\n","\n"," inputs = tokenizer.encode(full_prompt, return_tensors=\"pt\")\n"," outputs = model.generate(inputs, max_length=1000, pad_token_id=tokenizer.eos_token_id)\n","\n"," reply = tokenizer.decode(outputs[:, inputs.shape[-1]:][0], skip_special_tokens=True)\n"," chat_history.append((user_input, reply))\n","\n"," return reply"],"metadata":{"id":"HBsn94r_W8kM","executionInfo":{"status":"ok","timestamp":1747386619085,"user_tz":-330,"elapsed":4,"user":{"displayName":"Dabhi priyank","userId":"08120004642683023582"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["import gradio as gr\n","\n","iface = gr.Interface(fn=chat, inputs=\"text\", outputs=\"text\", title=\"Lumi AI\")\n","iface.launch()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":646},"id":"1eEBGNp5W_Vg","executionInfo":{"status":"ok","timestamp":1747386639149,"user_tz":-330,"elapsed":9693,"user":{"displayName":"Dabhi priyank","userId":"08120004642683023582"}},"outputId":"b8a87708-bb7f-4479-dc29-06921c1246b3"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["It looks like you are running Gradio on a hosted a Jupyter notebook. For the Gradio app to work, sharing must be enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n","\n","Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n","* Running on public URL: https://aba993df4d2761f7df.gradio.live\n","\n","This share link expires in 1 week. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["<div><iframe src=\"https://aba993df4d2761f7df.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":[]},"metadata":{},"execution_count":6}]}]}
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