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pricer-agent/pricer_agent.ipynb
unknown 5a29b6f238 code
2025-06-10 12:03:09 +05:30

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "5c9cf754",
"metadata": {},
"outputs": [],
"source": [
"import modal"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a73b738f",
"metadata": {},
"outputs": [],
"source": [
"import modal\n",
"\n",
"app = modal.App(\"example-get-started\")\n",
"\n",
"\n",
"@app.function()\n",
"def square(x):\n",
" print(\"This code is running on a remote worker!\")\n",
" return x**2\n",
"\n",
"\n",
"@app.local_entrypoint()\n",
"def main():\n",
" print(\"the square is\", square.remote(42))\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f8653ac7",
"metadata": {},
"outputs": [],
"source": [
"from hello import app, hello"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ae58c3a8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Hello from Delhi, Delhi, IN!!'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from hello import app, hello\n",
" reply=hello.local()\n",
"reply"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "9f178389",
"metadata": {},
"outputs": [],
"source": [
"from llama import app, generate"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "03715973",
"metadata": {},
"outputs": [
{
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"<span style=\"color: #808080; text-decoration-color: #808080\">├── </span>🔨 Created mount c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\llama.py\n",
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"</span></pre>\n"
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"text/plain": [
"\u001b[31mSetting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
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"data": {
"text/plain": [
"'<|begin_of_text|>Life is a mystery, everyone must stand alone, I hear you call my name,'"
]
},
"execution_count": 5,
"metadata": {},
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],
"source": [
"with modal.enable_output():\n",
" with app.run():\n",
" result=generate.remote(\"Life is a mystery, everyone must stand alone, I hear\")\n",
"result"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "eaf47ba6",
"metadata": {},
"outputs": [],
"source": [
"from pricer_ephemeral import app, price"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3e3cbdc8",
"metadata": {},
"outputs": [
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"<span style=\"color: #808080; text-decoration-color: #808080\">├── </span>🔨 Created mount c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_ephemeral.py\n",
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"output_type": "display_data"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">\u001b[1ALoading checkpoint shards: 0%| | 0/4 [00:00&lt;?, ?it/s]\n",
"</span></pre>\n"
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"</span></pre>\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">\u001b[1ALoading checkpoint shards: 50%|█████ | 2/4 [00:09&lt;00:09, 4.58s/it]\n",
"</span></pre>\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">\u001b[1ALoading checkpoint shards: 75%|███████▌ | 3/4 [00:13&lt;00:04, 4.68s/it]\n",
"</span></pre>\n"
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{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">\u001b[1ALoading checkpoint shards: 100%|██████████| 4/4 [00:14&lt;00:00, 2.99s/it]Loading checkpoint shards: 100%|██████████| 4/4 [00:14&lt;00:00, 3.57s/it]\n",
"</span></pre>\n"
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"\u001b[31m\u001b[1ALoading checkpoint shards: 100%|██████████| 4/4 [00:14<00:00, 2.99s/it]Loading checkpoint shards: 100%|██████████| 4/4 [00:14<00:00, 3.57s/it]\n",
"\u001b[0m"
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"metadata": {},
"output_type": "display_data"
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{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"</span></pre>\n"
],
"text/plain": [
"\u001b[31mSetting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"\u001b[0m"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
],
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},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Stopping app - local entrypoint completed.\n",
"</span></pre>\n"
],
"text/plain": [
"\u001b[33mStopping app - local entrypoint completed.\n",
"\u001b[0m"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Runner terminated.\n",
"</span></pre>\n"
],
"text/plain": [
"\u001b[33mRunner terminated.\n",
"\u001b[0m"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000\">✓</span> App completed. <span style=\"color: #b2b2b2; text-decoration-color: #b2b2b2\">View run at </span><span style=\"color: #b2b2b2; text-decoration-color: #b2b2b2; text-decoration: underline\">https://modal.com/apps/ankushmehta243/main/ap-zYROHiEK5Vkuc6Nxdjt8Wj</span>\n",
"</pre>\n"
],
"text/plain": [
"\u001b[32m✓\u001b[0m App completed. \u001b[38;5;249mView run at \u001b[0m\u001b[4;38;5;249mhttps://modal.com/apps/ankushmehta243/main/ap-zYROHiEK5Vkuc6Nxdjt8Wj\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"133.0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with modal.enable_output():\n",
" with app.run():\n",
" result=price.remote(\"Quadcast HyperX condenser mic, connects via usb-c to your computer for crystal clear audio\")\n",
"result"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "66706bed",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- Creating objects...\n",
"\\ Creating objects...\n",
"/ Creating objects...\n",
"└── - Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"\\ Creating objects...\n",
"└── \\ Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"/ Creating objects...\n",
"└── / Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"\\ Creating objects...\n",
"└── \\ Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"/ Creating objects...\n",
"└── / Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"\\ Creating objects...\n",
"└── \\ Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"/ Creating objects...\n",
"└── / Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"\\ Creating objects...\n",
"└── \\ Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"/ Creating objects...\n",
"└── / Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Uploaded \n",
" 0/1 files\n",
"\\ Creating objects...\n",
"└── \\ Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Finalizing\n",
" index of 1 files\n",
"/ Creating objects...\n",
"└── / Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Finalizing\n",
" index of 1 files\n",
"\\ Creating objects...\n",
"└── \\ Creating mount \n",
" c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py: Finalizing\n",
" index of 1 files\n",
"/ Creating objects...\n",
"├── 🔨 Created mount \n",
"│ c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py\n",
"└── - Creating function Pricer.*...\n",
"\\ Creating objects...\n",
"├── 🔨 Created mount \n",
"│ c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py\n",
"└── 🔨 Created function Pricer.*.\n",
"/ Creating objects...\n",
"├── 🔨 Created mount \n",
"│ c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py\n",
"└── 🔨 Created function Pricer.*.\n",
"\\ Creating objects...\n",
"├── 🔨 Created mount \n",
"│ c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py\n",
"└── 🔨 Created function Pricer.*.\n",
"| Creating objects...\n",
"├── 🔨 Created mount \n",
"│ c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py\n",
"└── 🔨 Created function Pricer.*.\n",
"\n",
"✓ Created objects.\n",
"├── 🔨 Created mount \n",
"│ c:\\Users\\ANKUSH\\Desktop\\price-predictor-agent\\pricer_service.py\n",
"└── 🔨 Created function Pricer.*.\n",
"✓ App deployed in 7.903s! 🎉\n",
"\n",
"View Deployment: \n",
"https://modal.com/apps/ankushmehta243/main/deployed/pricer-service\n"
]
}
],
"source": [
"!modal deploy -m pricer_service"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "170d9ff0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"133.0\n"
]
}
],
"source": [
"Pricer = modal.Cls.from_name(\"pricer-service\", \"Pricer\")\n",
"pricer = Pricer()\n",
"reply = pricer.price.remote(\"Quadcast HyperX condenser mic, connects via usb-c to your computer for crystal clear audio\")\n",
"print(reply)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "e6101ef5",
"metadata": {},
"outputs": [],
"source": [
"from agents.specialist_agent import SpecialistAgent"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "aabd1bcc",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"299.0"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"agent = SpecialistAgent()\n",
"agent.price(\"iPad Pro 2nd generation\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4cb51854",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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