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Update output_parsing.ipynb
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  • Module 9 - GenAI (LLMs and Prompt Engineering)/6. Building Apps Powered by GenAI using LangChain/1. Introduction to LangChain/4. Output Parsing

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+101
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‎Module 9 - GenAI (LLMs and Prompt Engineering)/6. Building Apps Powered by GenAI using LangChain/1. Introduction to LangChain/4. Output Parsing/output_parsing.ipynb‎

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@@ -159,21 +159,20 @@
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"text/plain": [
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"['paneer',\n",
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" 'basmati rice',\n",
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" 'yogurt',\n",
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" 'onions',\n",
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" 'tomatoes',\n",
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" 'yogurt',\n",
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" 'ginger',\n",
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" 'garlic',\n",
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" 'green chilies',\n",
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" 'spices (such as cumin',\n",
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" 'coriander',\n",
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" 'turmeric',\n",
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" 'garam masala)',\n",
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" 'cilantro',\n",
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" 'mint',\n",
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" 'ghee',\n",
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" 'vegetable oil',\n",
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" 'fresh coriander leaves',\n",
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" 'mint leaves',\n",
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" 'saffron',\n",
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" 'salt',\n",
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" 'water']"
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]
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},
@@ -185,7 +184,27 @@
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"source": [
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"input = {\"dish_name\": \"paneer biryani\", \"output_format_instructions\": csv_output_parser.get_format_instructions()}\n",
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"\n",
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"chain.invoke(input)"
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"response = chain.invoke(input)\n",
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"\n",
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"response"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "d895f2a1-c08a-4582-b9da-393410cd63dc",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'list'>\n"
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]
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}
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],
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"source": [
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"print(type(response))"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 9,
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"id": "f999b0d3-839b-4b60-ae6a-ebf8390008c7",
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"metadata": {},
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"outputs": [],
@@ -210,7 +229,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 10,
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"id": "2c3e7a50-9db7-4941-9c94-da1ac833cda1",
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"metadata": {},
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"outputs": [],
@@ -220,41 +239,60 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 11,
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"id": "7ef84474-2fa0-42b4-88b7-990662dad134",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'paneerBiryani': {'ingredients': ['1 cup basmati rice',\n",
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" '200g paneer, cut into cubes',\n",
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" '1 onion, thinly sliced',\n",
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" '1 tomato, chopped',\n",
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" '1/2 cup yogurt',\n",
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" '1/2 cup fried onions',\n",
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" '1/4 cup chopped coriander leaves',\n",
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" '1/4 cup chopped mint leaves',\n",
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" '2 tablespoons biryani masala',\n",
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" '1 tablespoon ginger-garlic paste',\n",
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" '1 teaspoon red chili powder',\n",
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" '1/2 teaspoon turmeric powder',\n",
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" '1/2 teaspoon garam masala',\n",
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" '2 tablespoons ghee',\n",
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" '2 tablespoons oil',\n",
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" 'Salt to taste',\n",
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" 'Water']}}"
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"{'Main Ingredients': ['Paneer (Indian cottage cheese)',\n",
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" 'Basmati rice',\n",
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" 'Onion',\n",
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" 'Tomato',\n",
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" 'Green chili',\n",
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" 'Ginger',\n",
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" 'Garlic',\n",
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" 'Yogurt',\n",
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" 'Fresh cilantro',\n",
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" 'Mint leaves',\n",
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" 'Spices (such as cumin, coriander, turmeric, garam masala)',\n",
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" 'Oil or ghee',\n",
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" 'Salt'],\n",
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" 'Optional Ingredients': ['Mixed vegetables (like carrots, peas, bell peppers)',\n",
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" 'Cashews',\n",
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" 'Raisins']}"
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]
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},
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"execution_count": 10,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"input = {\"dish_name\": \"paneer biryani\", \"output_format_instructions\": json_output_parser.get_format_instructions()}\n",
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"\n",
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"chain.invoke(input)"
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"response = chain.invoke(input)\n",
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"\n",
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"response"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "6193c287-1341-4d08-8482-b9d34b0b2f5e",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'dict'>\n"
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]
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}
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],
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"source": [
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"print(type(response))"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 13,
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"id": "072bd02b-c06d-4d05-97b2-f62862e8dcc2",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 14,
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"id": "00755d45-e38a-4c09-8412-c12eb4540175",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"\"Write a datetime string that matches the following pattern: '%Y-%m-%dT%H:%M:%S.%fZ'.\\n\\nExamples: 1892-01-30T12:13:48.068611Z, 0561-05-13T02:27:55.160011Z, 1699-05-11T04:40:29.696518Z\\n\\nReturn ONLY this string, no other words!\""
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"\"Write a datetime string that matches the following pattern: '%Y-%m-%dT%H:%M:%S.%fZ'.\\n\\nExamples: 0766-08-12T18:44:49.184246Z, 1953-02-26T13:12:24.798157Z, 1621-07-14T00:16:29.137230Z\\n\\nReturn ONLY this string, no other words!\""
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]
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},
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"execution_count": 12,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -304,7 +342,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 15,
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"id": "3bd3acd4-2cda-4776-a90c-968e87133d9f",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 16,
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"id": "c18efe6f-b8d4-4839-b8d0-8cfc01fc3587",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 17,
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"id": "69182c25-2ba5-4ad4-9287-41b31011880f",
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"metadata": {},
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"outputs": [
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"datetime.datetime(1947, 8, 15, 0, 0)"
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]
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},
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"execution_count": 15,
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -355,7 +393,27 @@
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"\n",
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"input = {\"question\": \"What is Indian Independence Day?\", \"output_format_instructions\": output_parser.get_format_instructions()}\n",
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"\n",
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"chain.invoke(input)"
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"response = chain.invoke(input)\n",
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"\n",
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"response"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"id": "0520093c-fd7c-4ab0-9c28-bd3aa8a64e6c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'datetime.datetime'>\n"
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]
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}
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],
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"source": [
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"print(type(response))"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "88654381-1109-4e7d-a095-181623aea87d",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "d7617763-9a91-48fb-b34f-89ee49951bde",
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"metadata": {},
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"outputs": [
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},
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{
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"cell_type": "code",
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"id": "aeae8a81-db61-498a-8a5a-f50af164b3d0",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"id": "fe0a8de3-da21-46f5-8a07-a2872d420b66",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"id": "b39be662-5ddf-449b-8c2a-c6269dcc4971",
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"metadata": {},
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"outputs": [
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"Song(name='Kal Ho Naa Ho', geners=['Bollywood', 'Romantic'])"
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]
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},
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"execution_count": 18,
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}

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