File size: 19,059 Bytes
bc94793 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 |
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "p0Z5GsQoEmXD",
"outputId": "7caf6827-6d2c-472e-ce35-27860e9e99f4"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (2.32.3)\n",
"Collecting gradio\n",
" Downloading gradio-5.16.0-py3-none-any.whl.metadata (16 kB)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests) (3.4.1)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests) (3.10)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests) (2.3.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests) (2025.1.31)\n",
"Collecting aiofiles<24.0,>=22.0 (from gradio)\n",
" Downloading aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)\n",
"Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.7.1)\n",
"Collecting fastapi<1.0,>=0.115.2 (from gradio)\n",
" Downloading fastapi-0.115.8-py3-none-any.whl.metadata (27 kB)\n",
"Collecting ffmpy (from gradio)\n",
" Downloading ffmpy-0.5.0-py3-none-any.whl.metadata (3.0 kB)\n",
"Collecting gradio-client==1.7.0 (from gradio)\n",
" Downloading gradio_client-1.7.0-py3-none-any.whl.metadata (7.1 kB)\n",
"Requirement already satisfied: httpx>=0.24.1 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.28.1)\n",
"Requirement already satisfied: huggingface-hub>=0.28.1 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.28.1)\n",
"Requirement already satisfied: jinja2<4.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.1.5)\n",
"Collecting markupsafe~=2.0 (from gradio)\n",
" Downloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)\n",
"Requirement already satisfied: numpy<3.0,>=1.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (1.26.4)\n",
"Requirement already satisfied: orjson~=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.10.15)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from gradio) (24.2)\n",
"Requirement already satisfied: pandas<3.0,>=1.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (2.2.2)\n",
"Requirement already satisfied: pillow<12.0,>=8.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (11.1.0)\n",
"Requirement already satisfied: pydantic>=2.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (2.10.6)\n",
"Collecting pydub (from gradio)\n",
" Downloading pydub-0.25.1-py2.py3-none-any.whl.metadata (1.4 kB)\n",
"Collecting python-multipart>=0.0.18 (from gradio)\n",
" Downloading python_multipart-0.0.20-py3-none-any.whl.metadata (1.8 kB)\n",
"Requirement already satisfied: pyyaml<7.0,>=5.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (6.0.2)\n",
"Collecting ruff>=0.9.3 (from gradio)\n",
" Downloading ruff-0.9.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (25 kB)\n",
"Collecting safehttpx<0.2.0,>=0.1.6 (from gradio)\n",
" Downloading safehttpx-0.1.6-py3-none-any.whl.metadata (4.2 kB)\n",
"Collecting semantic-version~=2.0 (from gradio)\n",
" Downloading semantic_version-2.10.0-py2.py3-none-any.whl.metadata (9.7 kB)\n",
"Collecting starlette<1.0,>=0.40.0 (from gradio)\n",
" Downloading starlette-0.45.3-py3-none-any.whl.metadata (6.3 kB)\n",
"Collecting tomlkit<0.14.0,>=0.12.0 (from gradio)\n",
" Downloading tomlkit-0.13.2-py3-none-any.whl.metadata (2.7 kB)\n",
"Requirement already satisfied: typer<1.0,>=0.12 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.15.1)\n",
"Requirement already satisfied: typing-extensions~=4.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (4.12.2)\n",
"Collecting uvicorn>=0.14.0 (from gradio)\n",
" Downloading uvicorn-0.34.0-py3-none-any.whl.metadata (6.5 kB)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.11/dist-packages (from gradio-client==1.7.0->gradio) (2024.10.0)\n",
"Requirement already satisfied: websockets<15.0,>=10.0 in /usr/local/lib/python3.11/dist-packages (from gradio-client==1.7.0->gradio) (14.2)\n",
"Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.11/dist-packages (from anyio<5.0,>=3.0->gradio) (1.3.1)\n",
"Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.11/dist-packages (from httpx>=0.24.1->gradio) (1.0.7)\n",
"Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.11/dist-packages (from httpcore==1.*->httpx>=0.24.1->gradio) (0.14.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.28.1->gradio) (3.17.0)\n",
"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.28.1->gradio) (4.67.1)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas<3.0,>=1.0->gradio) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas<3.0,>=1.0->gradio) (2025.1)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas<3.0,>=1.0->gradio) (2025.1)\n",
"Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.11/dist-packages (from pydantic>=2.0->gradio) (0.7.0)\n",
"Requirement already satisfied: pydantic-core==2.27.2 in /usr/local/lib/python3.11/dist-packages (from pydantic>=2.0->gradio) (2.27.2)\n",
"Requirement already satisfied: click>=8.0.0 in /usr/local/lib/python3.11/dist-packages (from typer<1.0,>=0.12->gradio) (8.1.8)\n",
"Requirement already satisfied: shellingham>=1.3.0 in /usr/local/lib/python3.11/dist-packages (from typer<1.0,>=0.12->gradio) (1.5.4)\n",
"Requirement already satisfied: rich>=10.11.0 in /usr/local/lib/python3.11/dist-packages (from typer<1.0,>=0.12->gradio) (13.9.4)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas<3.0,>=1.0->gradio) (1.17.0)\n",
"Requirement already satisfied: 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) (2.18.0)\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",
"Downloading gradio-5.16.0-py3-none-any.whl (62.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.2/62.2 MB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading gradio_client-1.7.0-py3-none-any.whl (321 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m321.9/321.9 kB\u001b[0m \u001b[31m13.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading aiofiles-23.2.1-py3-none-any.whl (15 kB)\n",
"Downloading fastapi-0.115.8-py3-none-any.whl (94 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.8/94.8 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (28 kB)\n",
"Downloading python_multipart-0.0.20-py3-none-any.whl (24 kB)\n",
"Downloading ruff-0.9.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.5/12.5 MB\u001b[0m \u001b[31m60.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading safehttpx-0.1.6-py3-none-any.whl (8.7 kB)\n",
"Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
"Downloading starlette-0.45.3-py3-none-any.whl (71 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.5/71.5 kB\u001b[0m \u001b[31m5.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading tomlkit-0.13.2-py3-none-any.whl (37 kB)\n",
"Downloading uvicorn-0.34.0-py3-none-any.whl (62 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.3/62.3 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading ffmpy-0.5.0-py3-none-any.whl (6.0 kB)\n",
"Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
"Installing collected packages: pydub, uvicorn, tomlkit, semantic-version, ruff, python-multipart, markupsafe, ffmpy, aiofiles, starlette, safehttpx, gradio-client, fastapi, gradio\n",
" Attempting uninstall: markupsafe\n",
" Found existing installation: MarkupSafe 3.0.2\n",
" Uninstalling MarkupSafe-3.0.2:\n",
" Successfully uninstalled MarkupSafe-3.0.2\n",
"Successfully installed aiofiles-23.2.1 fastapi-0.115.8 ffmpy-0.5.0 gradio-5.16.0 gradio-client-1.7.0 markupsafe-2.1.5 pydub-0.25.1 python-multipart-0.0.20 ruff-0.9.6 safehttpx-0.1.6 semantic-version-2.10.0 starlette-0.45.3 tomlkit-0.13.2 uvicorn-0.34.0\n"
]
}
],
"source": [
"!pip install requests gradio"
]
},
{
"cell_type": "code",
"source": [
"API_KEY = \"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\""
],
"metadata": {
"id": "YuszAB9fFBuY"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import requests\n",
"\n",
"def chat_with_mistral(user_input):\n",
" url = \"https://openrouter.ai/api/v1/chat/completions\"\n",
"\n",
" headers = {\n",
" \"Authorization\": f\"Bearer {API_KEY}\",\n",
" \"Content-Type\": \"application/json\"\n",
" }\n",
"\n",
" data = {\n",
" \"model\": \"mistralai/mistral-small-24b-instruct-2501:free\",\n",
" \"messages\": [{\"role\": \"user\", \"content\": user_input}]\n",
" }\n",
"\n",
" response = requests.post(url, json=data, headers=headers)\n",
"\n",
" if response.status_code == 200:\n",
" return response.json()[\"choices\"][0][\"message\"][\"content\"]\n",
" else:\n",
" return f\"Error: {response.status_code} - {response.text}\"\n"
],
"metadata": {
"id": "t5OD9edXFU44"
},
"execution_count": 9,
"outputs": []
},
{
"cell_type": "code",
"source": [
"user_input = \"what about indian cricket team\"\n",
"response = chat_with_mistral(user_input)\n",
"print(\"Chatbot:\", response)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xJeG3cJjFdS3",
"outputId": "d4db78c0-5cf3-41db-d9d6-a2a405301256"
},
"execution_count": 13,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Chatbot: As of my last update in October 2023, I can provide some general information about the Indian cricket team and recent developments before that time. The Indian cricket team is one of the most successful and followed teams in the world. It is governed by the Board of Control for Cricket in India (BCCI). The team has a rich history and has produced many legendary players.\n",
"\n",
"### Key Points:\n",
"\n",
"1. **Format Success**:\n",
" - **Tests**: The Indian team has had notable success in Test cricket, with many memorable series victories against strong opposition.\n",
" - **ODIs**: India has won multiple ICC Cricket World Cups in the One-Day International (ODI) format.\n",
" - **T20Is**: The team has also performed well in the Twenty20 International (T20I) format, including winning the ICC T20 World Cup in 2007.\n",
"\n",
"2. **Notable Players**:\n",
" - Players like Sachin Tendulkar, Rahul Dravid, Sourav Ganguly, Virat Kohli, and MS Dhoni are legendary figures in Indian cricket.\n",
"\n",
"3. **Current Team**:\n",
" As of October 2023, the Indian team was led by captain Rohit Sharma in white-ball cricket (ODIs and T20Is), Virat Kohli was the vice-captain. And the Test team was captained by Ajinkya Rahane or Rohit Sharma.\n",
"\n",
"4. **Coach and Support Staff**:\n",
" The team's support staff, including coaching staff like Rahul Dravid\n",
" and support personnel, played a crucial role in shaping the team's performance.\n",
"\n",
"For the most up-to-date information, I recommend checking the latest news or official BCCI website. Is there a specific aspect or player you're interested in knowing more about?\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import gradio as gr\n",
"\n",
"def mistral_chatbot(user_input):\n",
" return chat_with_mistral(user_input)\n",
"\n",
"# Created a chatbot interface\n",
"chatbot_ui = gr.Interface(\n",
" fn=mistral_chatbot,\n",
" inputs=\"text\",\n",
" outputs=\"text\",\n",
" title=\"Mistral AI Chatbot\",\n",
" description=\"Chat with an AI-powered assistant using Mistral 7B.\"\n",
")\n",
"\n",
"# Launching the chatbot\n",
"chatbot_ui.launch()\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 646
},
"id": "Cwq4s0QUHpus",
"outputId": "886243e5-10f4-491f-dde8-3cfb017a8532"
},
"execution_count": 14,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Running Gradio in a Colab notebook requires sharing 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://f54edac6253dce14c4.gradio.live\n",
"\n",
"This share link expires in 72 hours. 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://f54edac6253dce14c4.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": 14
}
]
},
{
"cell_type": "code",
"source": [
"chat_history = []\n",
"\n",
"def chat_with_mistral_context(user_input):\n",
" global chat_history # Maintain history\n",
"\n",
" url = \"https://api.mistral.ai/v1/chat/completions\"\n",
" headers = {\n",
" \"Authorization\": f\"Bearer {API_KEY}\",\n",
" \"Content-Type\": \"application/json\"\n",
" }\n",
"\n",
" chat_history.append({\"role\": \"user\", \"content\": user_input}) # Add user message\n",
"\n",
" data = {\n",
" \"model\": \"mistralai/mistral-small-24b-instruct-2501:free\",\n",
" \"messages\": chat_history\n",
" }\n",
"\n",
" response = requests.post(url, json=data, headers=headers)\n",
"\n",
" if response.status_code == 200:\n",
" bot_response = response.json()[\"choices\"][0][\"message\"][\"content\"]\n",
" chat_history.append({\"role\": \"assistant\", \"content\": bot_response}) # Add bot response\n",
" return bot_response\n",
" else:\n",
" return f\"Error: {response.status_code} - {response.text}\"\n"
],
"metadata": {
"id": "HXrYQHifH8q2"
},
"execution_count": 15,
"outputs": []
}
]
} |