Update notebooks to use dict instead of yaml and remove dataloaders (#1075)

notebooks/hugging_face_hub.ipynb

@@ -31,7 +31,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain[dataloaders,huggingface_hub,opensource]"
+        "!pip install embedchain[huggingface_hub,opensource]"
       ]
     },
     {
@@ -59,51 +59,13 @@
         "os.environ[\"HUGGINGFACE_ACCESS_TOKEN\"] = \"hf_xxx\""
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "Ns6RhPfbiitr"
-      },
-      "source": [
-        "### Step-3: Define your llm and embedding model config"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "S9CkxVjriotB"
-      },
-      "outputs": [],
-      "source": [
-        "config = \"\"\"\n",
-        "llm:\n",
-        "  provider: huggingface\n",
-        "  config:\n",
-        "    model: 'google/flan-t5-xxl'\n",
-        "    temperature: 0.5\n",
-        "    max_tokens: 1000\n",
-        "    top_p: 0.8\n",
-        "    stream: false\n",
-        "\n",
-        "embedder:\n",
-        "  provider: huggingface\n",
-        "  config:\n",
-        "    model: 'sentence-transformers/all-mpnet-base-v2'\n",
-        "\"\"\"\n",
-        "\n",
-        "# Write the multi-line string to a YAML file\n",
-        "with open('huggingface.yaml', 'w') as file:\n",
-        "    file.write(config)"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
         "id": "PGt6uPLIi1CS"
       },
       "source": [
-        "### Step-4 Create embedchain app based on the config"
+        "### Step-3 Create embedchain app and define your config"
       ]
     },
     {
@@ -114,7 +76,24 @@
       },
       "outputs": [],
       "source": [
-        "app = App.from_config(config_path=\"huggingface.yaml\")"
+        "app = App.from_config(config={\n",
+        "    \"llm\": {\n",
+        "        \"provider\": \"huggingface\",\n",
+        "        \"config\": {\n",
+        "            \"model\": \"google/flan-t5-xxl\",\n",
+        "            \"temperature\": 0.5,\n",
+        "            \"max_tokens\": 1000,\n",
+        "            \"top_p\": 0.8,\n",
+        "            \"stream\": False\n",
+        "        }\n",
+        "    },\n",
+        "    \"embedder\": {\n",
+        "        \"provider\": \"huggingface\",\n",
+        "        \"config\": {\n",
+        "            \"model\": \"sentence-transformers/all-mpnet-base-v2\"\n",
+        "        }\n",
+        "    }\n",
+        "})"
       ]
     },
     {
@@ -123,7 +102,7 @@
         "id": "XNXv4yZwi7ef"
       },
       "source": [
-        "### Step-5: Add data sources to your app"
+        "### Step-4: Add data sources to your app"
       ]
     },
     {
@@ -148,7 +127,7 @@
         "id": "_7W6fDeAjMAP"
       },
       "source": [
-        "### Step-6: All set. Now start asking questions related to your data"
+        "### Step-5: All set. Now start asking questions related to your data"
       ]
     },
     {