Improve deps installation by converting them to one liner (#967)

notebooks/anthropic.ipynb

@@ -30,15 +30,6 @@
         "outputId": "efdce0dc-fb30-4e01-f5a8-ef1a7f4e8c09"
       },
       "outputs": [],
-      "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
       "source": [
         "!pip install embedchain[dataloaders]"
       ]

notebooks/azure-openai.ipynb

@@ -22,16 +22,6 @@
    "id": "b80ff15a",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "!pip install embedchain"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "692ff37b",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "!pip install embedchain[dataloaders]"
    ]
@@ -158,14 +148,6 @@
     "    answer = app.query(question)\n",
     "    print(answer)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e1f2ead5",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

notebooks/chromadb.ipynb

@@ -25,15 +25,6 @@
         "id": "-NbXjAdlh0vJ"
       },
       "outputs": [],
-      "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
       "source": [
         "!pip install embedchain[dataloaders]"
       ]

notebooks/cohere.ipynb

@@ -30,16 +30,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,cohere]"
       ]
     },
     {
@@ -48,27 +39,11 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set Cohere related environment variables and install the dependencies\n",
+        "### Step-2: Set Cohere related environment variables\n",
         "\n",
         "You can find `OPENAI_API_KEY` on your [OpenAI dashboard](https://platform.openai.com/account/api-keys) and `COHERE_API_KEY` key on your [Cohere dashboard](https://dashboard.cohere.com/api-keys)."
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 1000
-        },
-        "id": "S5jTywPZNtrj",
-        "outputId": "4a23c813-c9e5-4b6c-e3d9-b41e4fdbc54d"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[cohere]"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,

notebooks/elasticsearch.ipynb

@@ -26,16 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,elasticsearch]"
       ]
     },
     {
@@ -44,20 +35,9 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set OpenAI environment variables and install the dependencies.\n",
+        "### Step-2: Set OpenAI environment variables.\n",
         "\n",
-        "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys). Now lets install the dependencies needed for Elasticsearch."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "-MUFRfxV7Jk7"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install --upgrade 'embedchain[elasticsearch]'"
+        "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys)."
       ]
     },
     {

notebooks/gpt4all.ipynb

@@ -30,16 +30,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,opensource]"
       ]
     },
     {
@@ -48,24 +39,9 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set GPT4ALL related environment variables and install dependencies\n",
+        "### Step-2: Set GPT4ALL related environment variables\n",
         "\n",
-        "GPT4All is free for all and doesn't require any API Key to use it. Just import the dependencies."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "dGOE4u3dC6at",
-        "outputId": "c1c0087b-3f14-49fa-fb86-a4a3391ba14c"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install --upgrade embedchain[opensource]"
+        "GPT4All is free for all and doesn't require any API Key to use it. So you can use it for free!"
       ]
     },
     {

notebooks/hugging_face_hub.ipynb

@@ -31,16 +31,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,huggingface_hub,opensource]"
       ]
     },
     {
@@ -49,39 +40,9 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set Hugging Face Hub related environment variables and install dependencies\n",
+        "### Step-2: Set Hugging Face Hub related environment variables\n",
         "\n",
-        "You can find your `HUGGINGFACE_ACCESS_TOKEN` key on your [Hugging Face Hub dashboard](https://huggingface.co/settings/tokens) and install the dependencies"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "VfDNZJCqNfqo",
-        "outputId": "34894d35-7142-42ee-8564-2e9f718afcbb"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[huggingface-hub]"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "SCNT8khqcR3G",
-        "outputId": "b789ee77-ef50-4330-8ac6-5da645dc36d6"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[opensource]"
+        "You can find your `HUGGINGFACE_ACCESS_TOKEN` key on your [Hugging Face Hub dashboard](https://huggingface.co/settings/tokens)"
       ]
     },
     {
@@ -209,15 +170,6 @@
         "    answer = app.query(question)\n",
         "    print(answer)"
       ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "HvZVn6gU5xB_"
-      },
-      "outputs": [],
-      "source": []
     }
   ],
   "metadata": {

notebooks/jina.ipynb

@@ -30,15 +30,6 @@
         "outputId": "69cb79a6-c758-4656-ccf7-9f3105c81d16"
       },
       "outputs": [],
-      "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
       "source": [
         "!pip install embedchain[dataloaders]"
       ]

notebooks/llama2.ipynb

@@ -30,16 +30,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,llama2]"
       ]
     },
     {
@@ -48,20 +39,9 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set LLAMA2 related environment variables and install dependencies\n",
+        "### Step-2: Set LLAMA2 related environment variables\n",
         "\n",
-        "You can find `OPENAI_API_KEY` on your [OpenAI dashboard](https://platform.openai.com/account/api-keys) and `REPLICATE_API_TOKEN` key on your [Replicate dashboard](https://replicate.com/account/api-tokens). Now lets install the dependencies for LLAMA2."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "qoBUbocNtUUD"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[llama2]"
+        "You can find `OPENAI_API_KEY` on your [OpenAI dashboard](https://platform.openai.com/account/api-keys) and `REPLICATE_API_TOKEN` key on your [Replicate dashboard](https://replicate.com/account/api-tokens)."
       ]
     },
     {

notebooks/openai.ipynb

@@ -30,15 +30,6 @@
         "outputId": "6c630676-c7fc-4054-dc94-c613de58a037"
       },
       "outputs": [],
-      "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
       "source": [
         "!pip install embedchain[dataloaders]"
       ]

notebooks/opensearch.ipynb

@@ -26,16 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,opensearch]"
       ]
     },
     {
@@ -49,17 +40,6 @@
         "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys). Now lets install the dependencies needed for Opensearch."
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "-MUFRfxV7Jk7"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install --upgrade 'embedchain[opensearch]'"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,

notebooks/pinecone.ipynb

@@ -26,16 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,pinecone]"
       ]
     },
     {
@@ -44,20 +35,9 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set environment variables needed for Pinecone and install the dependencies.\n",
+        "### Step-2: Set environment variables needed for Pinecone\n",
         "\n",
-        "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys) and [Pinecone dashboard](https://app.pinecone.io/). Now lets install the dependencies needed for Pinecone."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "-MUFRfxV7Jk7"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install --upgrade 'embedchain[pinecone]'"
+        "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys) and [Pinecone dashboard](https://app.pinecone.io/)."
       ]
     },
     {

notebooks/vertex_ai.ipynb

@@ -30,16 +30,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[dataloaders]"
+        "!pip install embedchain[dataloaders,vertexai]"
       ]
     },
     {
@@ -48,20 +39,9 @@
         "id": "nGnpSYAAh2bQ"
       },
       "source": [
-        "### Step-2: Set VertexAI related environment variables and install dependencies.\n",
+        "### Step-2: Set VertexAI related environment variables\n",
         "\n",
-        "You can find `OPENAI_API_KEY` on your [OpenAI dashboard](https://platform.openai.com/account/api-keys). Now lets install the dependencies."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "a_shbIFBtnwu"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install embedchain[vertexai]"
+        "You can find `OPENAI_API_KEY` on your [OpenAI dashboard](https://platform.openai.com/account/api-keys)."
       ]
     },
     {