add new implementation files

Author: vedovati-matteo

Examples/anthropic_config.json

@@ -13,7 +13,7 @@
     },
     {
         "prompt": "How to create a script in Scrapegraphai for scraping a specific website given a prompt and searching on the internet using anthropic as a provider and given a schema?",
-        "answer": "\"\"\"\nExample of Search Graph\n\"\"\"\n\nimport os\nfrom dotenv import load_dotenv\nload_dotenv()\n\nfrom scrapegraphai.graphs import SearchGraph\nfrom scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info\n\nfrom pydantic import BaseModel, Field\nfrom typing import List\n\n# ************************************************\n# Define the output schema for the graph\n# ************************************************\n\nclass Dish(BaseModel):\n    name: str = Field(description=\"The name of the dish\")\n    description: str = Field(description=\"The description of the dish\")\n\nclass Dishes(BaseModel):\n    dishes: List[Dish]\n\n# ************************************************\n# Define the configuration for the graph\n# ************************************************\ngraph_config = {\n    \"llm\": {\n        \"api_key\": os.getenv(\"ANTHROPIC_API_KEY\"),\n        \"model\": \"claude-3-haiku-20240307\",\n        \"max_tokens\": 4000},\n}\n\n# ************************************************\n# Create the SearchGraph instance and run it\n# ************************************************\n\nsearch_graph = SearchGraph(\n    prompt=\"List me Chioggia's famous dishes\",\n    config=graph_config,\n    schema=Dishes\n)\n\nresult = search_graph.run()\nprint(result)\n\n# ************************************************\n# Get graph execution info\n# ************************************************\n\ngraph_exec_info = search_graph.get_execution_info()\nprint(prettify_exec_info(graph_exec_info))\n\n# Save to json and csv\nconvert_to_csv(result, \"result\")\nconvert_to_json(result, \"result\")\n"
+        "answer": "\"\"\"\nExample of Search Graph\n\"\"\"\n\nimport os\nfrom dotenv import load_dotenv\nload_dotenv()\n\nfrom scrapegraphai.graphs import SearchGraph\n\nfrom pydantic import BaseModel, Field\nfrom typing import List\n\n# ************************************************\n# Define the output schema for the graph\n# ************************************************\n\nclass Dish(BaseModel):\n    name: str = Field(description=\"The name of the dish\")\n    description: str = Field(description=\"The description of the dish\")\n\nclass Dishes(BaseModel):\n    dishes: List[Dish]\n\n# ************************************************\n# Define the configuration for the graph\n# ************************************************\ngraph_config = {\n    \"llm\": {\n        \"api_key\": os.getenv(\"ANTHROPIC_API_KEY\"),\n        \"model\": \"claude-3-haiku-20240307\",\n        \"max_tokens\": 4000},\n}\n\n# ************************************************\n# Create the SearchGraph instance and run it\n# ************************************************\n\nsearch_graph = SearchGraph(\n    prompt=\"List me Chioggia's famous dishes\",\n    config=graph_config,\n    schema=Dishes\n)\n\nresult = search_graph.run()\nprint(result)\n"
     },
     {
         "prompt": "How to create a script in Scrapegraphai for scraping an XML given a prompt using haiku (anthropic) as a provider?",

Examples/azure_config.json

@@ -9,7 +9,7 @@
     },
     {
         "prompt": "How to create a script in Scrapegraphai for scraping a specific website given a prompt and searching on internet using ernie as a provider?",
-        "answer": "\"\"\"\nExample of Search Graph\n\"\"\"\n\nimport os\nfrom dotenv import load_dotenv\nfrom scrapegraphai.graphs import SearchGraph\nfrom scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info\nload_dotenv()\n\n# ************************************************\n# Define the configuration for the graph\n# ************************************************\n\nopenai_key = os.getenv(\"OPENAI_APIKEY\")\n\ngraph_config = {\n    \"llm\": {\n        \"api_key\": openai_key,\n        \"model\": \"gpt-3.5-turbo\",\n    },\n    \"max_results\": 2,\n    \"verbose\": True,\n}\n\n# ************************************************\n# Create the SearchGraph instance and run it\n# ************************************************\n\nsearch_graph = SearchGraph(\n    prompt=\"List me Chioggia's famous dishes\",\n    config=graph_config\n)\n\nresult = search_graph.run()\nprint(result)\n\n# ************************************************\n# Get graph execution info\n# ************************************************\n\ngraph_exec_info = search_graph.get_execution_info()\nprint(prettify_exec_info(graph_exec_info))\n\n# Save to json and csv\nconvert_to_csv(result, \"result\")\nconvert_to_json(result, \"result\")\n"
+        "answer": "\"\"\"\nExample of Search Graph\n\"\"\"\n\nimport os\nfrom dotenv import load_dotenv\nfrom scrapegraphai.graphs import SearchGraph\n\nload_dotenv()\n\n# ************************************************\n# Define the configuration for the graph\n# ************************************************\n\ngraph_config = {\n    \"llm\": {\n            \"model\": \"ernie-bot-turbo\",\n            \"ernie_client_id\": \"<ernie_client_id>\",\n            \"ernie_client_secret\": \"<ernie_client_secret>\",\n            \"temperature\": 0.1\n        },\n        \"embeddings\": {\n            \"model\": \"ollama/nomic-embed-text\",\n            \"temperature\": 0,\n            \"base_url\": \"http://localhost:11434\"},\n    \"library\": \"beautifulsoup\"\n}\n\n# ************************************************\n# Create the SearchGraph instance and run it\n# ************************************************\n\nsearch_graph = SearchGraph(\n    prompt=\"List me Chioggia's famous dishes\",\n    config=graph_config\n)\n\nresult = search_graph.run()\nprint(result)\n"
     },
     {
         "prompt": "How to create a script in Scrapegraphai for scraping a specific website given a prompt and searching on the internet using ernie as a provider and given a schema?"