Update notebooks to use dict instead of yaml and remove dataloaders (#1075)
This commit is contained in:
@@ -30,7 +30,7 @@
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},
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"outputs": [],
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"source": [
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"!pip install embedchain[dataloaders,vertexai]"
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"!pip install embedchain[vertexai]"
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]
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},
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{
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@@ -58,50 +58,13 @@
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"os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Ns6RhPfbiitr"
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},
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"source": [
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"### Step-3: Define your llm and embedding model config"
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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": null,
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"metadata": {
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"id": "S9CkxVjriotB"
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},
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"outputs": [],
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"source": [
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"config = \"\"\"\n",
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"llm:\n",
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" provider: vertexai\n",
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" config:\n",
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" model: 'chat-bison'\n",
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" temperature: 0.5\n",
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" max_tokens: 1000\n",
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" stream: false\n",
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"\n",
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"embedder:\n",
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" provider: vertexai\n",
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" config:\n",
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" model: 'textembedding-gecko'\n",
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"\"\"\"\n",
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"\n",
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"# Write the multi-line string to a YAML file\n",
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"with open('vertexai.yaml', 'w') as file:\n",
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" file.write(config)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "PGt6uPLIi1CS"
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},
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"source": [
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"### Step-4 Create embedchain app based on the config"
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"### Step-3 Create embedchain app and define your config"
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]
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},
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{
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@@ -117,7 +80,23 @@
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},
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"outputs": [],
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"source": [
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"app = App.from_config(config_path=\"vertexai.yaml\")"
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"app = App.from_config(config={\n",
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" \"llm\": {\n",
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" \"provider\": \"vertexai\",\n",
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" \"config\": {\n",
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" \"model\": \"chat-bison\",\n",
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" \"temperature\": 0.5,\n",
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" \"max_tokens\": 1000,\n",
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" \"stream\": False\n",
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" }\n",
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" },\n",
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" \"embedder\": {\n",
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" \"provider\": \"vertexai\",\n",
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" \"config\": {\n",
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" \"model\": \"textembedding-gecko\"\n",
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" }\n",
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" }\n",
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"})"
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]
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},
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{
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@@ -126,7 +105,7 @@
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"id": "XNXv4yZwi7ef"
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},
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"source": [
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"### Step-5: Add data sources to your app"
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"### Step-4: Add data sources to your app"
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]
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},
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{
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@@ -146,7 +125,7 @@
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"id": "_7W6fDeAjMAP"
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},
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"source": [
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"### Step-6: All set. Now start asking questions related to your data"
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"### Step-5: All set. Now start asking questions related to your data"
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]
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},
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{
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