[Docs] add docs for youtube channel (#1072)

Co-authored-by: Deven Patel <deven298@yahoo.com>

docs/components/data-sources/overview.mdx

@@ -8,6 +8,7 @@ Embedchain comes with built-in support for various data sources. We handle the c
   <Card title="📰 PDF file" href="/components/data-sources/pdf-file"></Card>
   <Card title="📊 CSV file" href="/components/data-sources/csv"></Card>
   <Card title="📃 JSON file" href="/components/data-sources/json"></Card>
+  <Card title="📽️ Youtube Channel" href="/components/data-sources/youtube-channel"></Card>
   <Card title="📺 Youtube" href="/components/data-sources/youtube-video"></Card>
   <Card title="📝 Text" href="/components/data-sources/text"></Card>
   <Card title="📚 Documentation website" href="/components/data-sources/docs-site"></Card>

docs/components/data-sources/youtube-channel.mdx

@@ -0,0 +1,20 @@
+---
+title: '📽️ Youtube Channel'
+---
+
+To add all the videos from a youtube channel to your app, use the data_type as `youtube_channel`.
+
+<Note>
+Make sure you have all the required packages installed before using this data type. You can install them by running the following command in your terminal.
+
+```bash
+pip install -u "embedchain[youtube]"
+```
+</Note>
+
+```python
+from embedchain import Pipeline as App
+
+app = App()
+app.add("@channel_name", data_type="youtube_channel")
+```

docs/components/data-sources/youtube-video.mdx

@@ -2,8 +2,7 @@
 title: '📺 Youtube'
 ---
 
-
+To add any youtube video to your app, use the data_type as `youtube_video`. Eg:
-To add any youtube video to your app, use the data_type (first argument to `.add()` method) as `youtube_video`. Eg:
 
 ```python
 from embedchain import Pipeline as App

embedchain/embedchain.py

@@ -189,8 +189,7 @@ class EmbedChain(JSONSerializable):
             data_type = detect_datatype(source)
 
         # `source_hash` is the md5 hash of the source argument
-        hash_object = hashlib.md5(str(source).encode("utf-8"))
+        source_hash = hashlib.md5(str(source).encode("utf-8")).hexdigest()
-        source_hash = hash_object.hexdigest()
 
         self.user_asks.append([source, data_type.value, metadata])
 

embedchain/loaders/directory_loader.py

@@ -27,6 +27,7 @@ class DirectoryLoader(BaseLoader):
         if not directory_path.is_dir():
             raise ValueError(f"Invalid path: {path}")
 
+        logging.info(f"Loading data from directory: {path}")
         data_list = self._process_directory(directory_path)
         doc_id = hashlib.sha256((str(data_list) + str(directory_path)).encode()).hexdigest()
 
@@ -44,6 +45,8 @@ class DirectoryLoader(BaseLoader):
             if file_path.is_file() and (not self.extensions or any(file_path.suffix == ext for ext in self.extensions)):
                 loader = self._predict_loader(file_path)
                 data_list.extend(loader.load_data(str(file_path))["data"])
+            elif file_path.is_dir():
+                logging.info(f"Loading data from directory: {file_path}")
         return data_list
 
     def _predict_loader(self, file_path: Path) -> BaseLoader:

embedchain/utils.py

@@ -358,10 +358,6 @@ def is_valid_json_string(source: str):
         _ = json.loads(source)
         return True
     except json.JSONDecodeError:
-        logging.error(
-            "Insert valid string format of JSON. \
-            Check the docs to see the supported formats - `https://docs.embedchain.ai/data-sources/json`"
-        )
         return False