Upload folder using huggingface_hub

app.py

@@ -6,6 +6,7 @@ import gradio as gr
 from gradio_modal import Modal
 import chromadb
 from downloader import export_channel_json
+from modules.channel_utils import fetch_channel_dataframe
 from modules.collector import fetch_all_channel_videos
 from modules.db import (
     delete_channel_from_collection,
@@ -18,6 +19,7 @@ from dotenv import load_dotenv
 
 from youtube_poller import start_poll
 from youtube_sync import sync_channels_from_youtube
+import pandas as pd
 
 load_dotenv()
 
@@ -137,71 +139,6 @@ def list_channels_radio():
     return choices
 
 
-# -------------------------------
-# Fetch channel videos as HTML table with pagination
-# -------------------------------
-def fetch_channel_html(channel_id: str, page: int = 1, page_size: int = 10):
-    collection = get_collection()
-    offset = (page - 1) * page_size
-
-    all_results = collection.get(
-        where={"channel_id": channel_id}, include=["metadatas"]
-    )
-    total_count = (
-        len(all_results["metadatas"])
-        if all_results and "metadatas" in all_results
-        else 0
-    )
-    results = collection.get(
-        where={"channel_id": channel_id},
-        include=["documents", "metadatas"],
-        limit=page_size,
-        offset=offset,
-    )
-
-    # handle empty
-    if not results or not results.get("metadatas"):
-        return f"""
-        <div style="display:flex;justify-content:center;align-items:center;
-                    height:200px;flex-direction:column;color:#666;">
-            ⚠️ No videos found for this channel (page {page}).
-        </div>
-        """
-
-    videos = results["metadatas"]
-
-    # build table
-    html = (
-        f"<div>Total: {total_count} videos</div>"
-        + """
-    <table border="1" style="border-collapse:collapse;width:100%;font-family:sans-serif;">
-        <thead style="background:#f0f0f0;">
-            <tr>
-                <th>#</th>
-                <th>Title</th>
-                <th>Video URL</th>
-                <th>Description</th>
-            </tr>
-        </thead>
-        <tbody>
-    """
-    )
-
-    for idx, v in enumerate(videos, start=offset + 1):
-        html += f"""
-        <tr>
-            <td>{idx}</td>
-            <td>{v.get('video_title','')}</td>
-            <td><a href="https://youtube.com/watch?v={v.get('video_id')}" 
-                   target="_blank">Watch Video</a></td>
-            <td>{v.get('description','')}</td>
-        </tr>
-        """
-
-    html += "</tbody></table>"
-    return html
-
-
 # Delete a channel
 # -------------------------------
 def delete_channel(channel_url: str):
@@ -250,43 +187,22 @@ with gr.Blocks() as demo:
         gr.Markdown("### Videos List")
 
         # the HTML table that shows one page of videos
-        modal_html = gr.HTML()
-
-        # row for pagination controls
-        with gr.Row(equal_height=True):
-            gr.Column()
-            prev_btn = gr.Button("⬅️ Prev", size="sm", variant="huggingface", scale=0)
-            page_info = gr.Textbox(
-                value="Page 1",
-                interactive=False,
-                show_label=False,
-                container=False,
-                scale=0,
-            )
-            next_btn = gr.Button("Next ➡️", size="sm", variant="huggingface", scale=0)
-            gr.Column()
-
-        current_page = gr.State(1)
-        page_size = 10  # change if you like
-
-        def update_table(channel_id, page):
-            return fetch_channel_html(channel_id, page, page_size), f"Page {page}"
-
-        def prev_page(channel_id, page):
-            new_page = max(1, page - 1)
-            return (
-                fetch_channel_html(channel_id, new_page, page_size),
-                f"Page {new_page}",
-                new_page,
-            )
-
-        def next_page(channel_id, page):
-            new_page = page + 1
-            return (
-                fetch_channel_html(channel_id, new_page, page_size),
-                f"Page {new_page}",
-                new_page,
-            )
+        # modal_html = gr.HTML()
+        channel_videos_df = gr.DataFrame(
+            show_search=True,
+            show_copy_button=True,
+            show_fullscreen_button=True,
+            datatype=[
+                "int",
+                "str",
+                "str",
+                "html",
+            ],
+            headers=["#", "title", "description", "url"],
+            column_widths=["5%","25%","60%","10%"],
+            wrap=True,
+            col_count=(4, "fixed"),
+        )
 
     # Modal to add new channels
     with Modal(visible=False) as add_channel_modal:
@@ -372,7 +288,7 @@ with gr.Blocks() as demo:
                     size="sm",
                     scale=0,
                     variant="stop",
-                    visible=False
+                    visible=False,
                 )
                 add_channels_btn = gr.Button(
                     "➕ Add", size="sm", scale=0, variant="primary"
@@ -503,7 +419,8 @@ with gr.Blocks() as demo:
             # Show videos modal when button clicked
             def show_selected_channel_videos(selected_channel_id):
                 # print("selected_channel_id = ", selected_channel_id)
-                return fetch_channel_html(selected_channel_id)
+                df = fetch_channel_dataframe(selected_channel_id)
+                return gr.update(value=df, label=f"{len(df)} videos")
 
             channel_radio.change(
                 enable_if_not_none, inputs=[channel_radio], outputs=[show_videos_btn]
@@ -513,7 +430,7 @@ with gr.Blocks() as demo:
             ).then(
                 show_selected_channel_videos,
                 inputs=[channel_radio],
-                outputs=[modal_html],
+                outputs=[channel_videos_df],
             ).then(
                 show_component, outputs=[videos_list_modal]
             ).then(
@@ -546,17 +463,6 @@ with gr.Blocks() as demo:
             get_channel_choices, inputs=[channel_list_state], outputs=[search_channel]
         )
 
-        prev_btn.click(
-            prev_page,
-            [channel_radio, current_page],  # you’ll need to pass channel_id here
-            [modal_html, page_info, current_page],
-        )
-
-        next_btn.click(
-            next_page,
-            [channel_radio, current_page],
-            [modal_html, page_info, current_page],
-        )
         export_btn.click(close_component, outputs=[my_sidebar]).then(
             show_component, outputs=[download_status]
         ).then(hide_component, outputs=[download_ready_btn]).then(

modules/channel_utils.py

@@ -0,0 +1,120 @@
+from modules.db import get_collection
+import pandas as pd
+
+page_size = 10  # change if you like
+
+
+# -------------------------------
+# Fetch channel videos as HTML table with pagination
+# -------------------------------
+def fetch_channel_html(channel_id: str, page: int = 1, page_size: int = 10):
+    collection = get_collection()
+    offset = (page - 1) * page_size
+
+    all_results = collection.get(
+        where={"channel_id": channel_id}, include=["metadatas"]
+    )
+    total_count = (
+        len(all_results["metadatas"])
+        if all_results and "metadatas" in all_results
+        else 0
+    )
+    results = collection.get(
+        where={"channel_id": channel_id},
+        include=["documents", "metadatas"],
+        limit=page_size,
+        offset=offset,
+    )
+
+    # handle empty
+    if not results or not results.get("metadatas"):
+        return f"""
+        <div style="display:flex;justify-content:center;align-items:center;
+                    height:200px;flex-direction:column;color:#666;">
+            ⚠️ No videos found for this channel (page {page}).
+        </div>
+        """
+
+    videos = results["metadatas"]
+
+    # build table
+    html = (
+        f"<div>Total: {total_count} videos</div>"
+        + """
+    <table border="1" style="border-collapse:collapse;width:100%;font-family:sans-serif;">
+        <thead style="background:#f0f0f0;">
+            <tr>
+                <th>#</th>
+                <th>Title</th>
+                <th>Video URL</th>
+                <th>Description</th>
+            </tr>
+        </thead>
+        <tbody>
+    """
+    )
+
+    for idx, v in enumerate(videos, start=offset + 1):
+        html += f"""
+        <tr>
+            <td>{idx}</td>
+            <td>{v.get('video_title','')}</td>
+            <td><a href="https://youtube.com/watch?v={v.get('video_id')}" 
+                   target="_blank">Watch Video</a></td>
+            <td>{v.get('description','')}</td>
+        </tr>
+        """
+
+    html += "</tbody></table>"
+    return html
+
+
+# -------------------------------
+# Fetch channel videos as HTML table with pagination
+# -------------------------------
+def fetch_channel_dataframe(channel_id: str):
+    collection = get_collection()
+
+    results = collection.get(
+        where={"channel_id": channel_id}, include=["documents", "metadatas"]
+    )
+    total_count = len(results["metadatas"]) if results and "metadatas" in results else 0
+    # handle empty
+    if not results or not results.get("metadatas"):
+        return pd.DataFrame(data=[])
+
+    videos = results["metadatas"]
+
+    items = []
+    for idx, v in enumerate(videos, start=1):
+        item = {
+            "#": idx,
+            "title": v.get("video_title", "-"),
+            "description": v.get("description", ""),
+            "url": f"""<a style="color: blue" href="https://youtube.com/watch?v={v.get('video_id')}" 
+                   target="_blank">▶️Watch Video</a>""",
+        }
+        items.append(item)
+    return pd.DataFrame(data=items)
+
+
+def update_table(channel_id, page):
+    return fetch_channel_html(channel_id, page, page_size), f"Page {page}"
+
+
+def prev_page(channel_id, page):
+    new_page = max(1, page - 1)
+    return (
+        fetch_channel_html(channel_id, new_page, page_size),
+        f"Page {new_page}",
+        new_page,
+    )
+
+
+def next_page(channel_id, page):
+    new_page = page + 1
+    return (
+        fetch_channel_html(channel_id, new_page, page_size),
+        f"Page {new_page}",
+        new_page,
+    )

modules/db.py

@@ -15,14 +15,14 @@ def get_collection():
     except Exception:
         collection = client.create_collection("yt_metadata")
 
-    # Check dimension mismatch
-    try:
-        # quick test query
-        collection.query(query_embeddings=[[0.0] * 1536], n_results=1)
-    except Exception:
-        # Delete and recreate with fresh schema
-        client.delete_collection("yt_metadata")
-        collection = client.create_collection("yt_metadata")
+    # # Check dimension mismatch
+    # try:
+    #     # quick test query
+    #     collection.query(query_embeddings=[[0.0] * 1536], n_results=1)
+    # except Exception:
+    #     # Delete and recreate with fresh schema
+    #     client.delete_collection("yt_metadata")
+    #     collection = client.create_collection("yt_metadata")
 
     return collection
 

modules/embeddings.py

@@ -0,0 +1,31 @@
+from sentence_transformers import SentenceTransformer
+from openai import OpenAI
+from dotenv import load_dotenv
+load_dotenv()
+
+
+# Step 1: Load SentenceTransformer model
+# Old MiniLM version:
+# model = SentenceTransformer("sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
+
+# Better MPNet alternative:
+model = SentenceTransformer("sentence-transformers/paraphrase-multilingual-mpnet-base-v2")
+client = OpenAI()    
+
+def _get_hf_embedding(text: str) -> list:
+    return model.encode(text).tolist()
+
+def _get_openai_embedding(text: str) -> list:
+    response = client.embeddings.create(
+        model="text-embedding-3-large",  # or "text-embedding-3-large"
+        input=text
+    )
+    return response.data[0].embedding
+
+
+def get_embedding(text: str) -> list:
+    """
+    Switch according to the embedding model you want.
+    """
+    # return _get_hf_embedding(text)
+    return _get_openai_embedding(text)

modules/indexer.py

@@ -2,6 +2,8 @@
 from typing import Dict, List
 from openai import OpenAI
 
+from modules.embeddings import get_embedding
+
 def index_videos(videos: List[Dict], collection, channel_url: str, batch_size: int = 50):
     client = OpenAI()
 
@@ -19,13 +21,7 @@ def index_videos(videos: List[Dict], collection, channel_url: str, batch_size: i
         # Prepare text inputs
         texts = [f"{vid.get('title', '')} - {vid.get('description', '')}" for vid in batch]
 
-        # Call embeddings API in batch
-        response = client.embeddings.create(
-            input=texts,
-            model="text-embedding-3-small"
-        )
-
-        embeddings = [item.embedding for item in response.data]
+        embeddings = [get_embedding(text) for text in texts]
 
         # Build metadata + ids
         metadatas, ids = [], []

modules/retriever.py

@@ -2,6 +2,8 @@
 from typing import List, Dict
 from openai import OpenAI
 
+from modules.embeddings import get_embedding
+
 
 def retrieve_videos(
     query: str, collection, top_k: int = 3, channel_id: str = None
@@ -9,11 +11,7 @@ def retrieve_videos(
     client = OpenAI()
 
     # Create embedding for query
-    embedding = (
-        client.embeddings.create(input=query, model="text-embedding-3-small")
-        .data[0]
-        .embedding
-    )
+    embedding = get_embedding(query) 
 
     # Query Chroma
     if not channel_id:

pyproject.toml

@@ -12,4 +12,5 @@ dependencies = [
     "gradio>=5.44.0",
     "gradio-modal>=0.0.4",
     "openai>=1.102.0",
+    "sentence-transformers>=5.1.0",
 ]

uv.lock

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 ]
 
+[[package]]
+name = "joblib"
+version = "1.5.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e8/5d/447af5ea094b9e4c4054f82e223ada074c552335b9b4b2d14bd9b35a67c4/joblib-1.5.2.tar.gz", hash = "sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55", size = 331077, upload-time = "2025-08-27T12:15:46.575Z" }
+wheels = [
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+]
+
 [[package]]
 name = "jsonschema"
 version = "4.25.1"
@@ -933,6 +942,15 @@ wheels = [
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 ]
 
+[[package]]
+name = "networkx"
+version = "3.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/4f/ccdb8ad3a38e583f214547fd2f7ff1fc160c43a75af88e6aec213404b96a/networkx-3.5.tar.gz", hash = "sha256:d4c6f9cf81f52d69230866796b82afbccdec3db7ae4fbd1b65ea750feed50037", size = 2471065, upload-time = "2025-05-29T11:35:07.804Z" }
+wheels = [
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+]
+
 [[package]]
 name = "numpy"
 version = "2.3.2"
@@ -985,6 +1003,132 @@ wheels = [
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 ]
 
+[[package]]
+name = "nvidia-cublas-cu12"
+version = "12.8.4.1"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dc/61/e24b560ab2e2eaeb3c839129175fb330dfcfc29e5203196e5541a4c44682/nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142", size = 594346921, upload-time = "2025-03-07T01:44:31.254Z" },
+]
+
+[[package]]
+name = "nvidia-cuda-cupti-cu12"
+version = "12.8.90"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/02/2adcaa145158bf1a8295d83591d22e4103dbfd821bcaf6f3f53151ca4ffa/nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182", size = 10248621, upload-time = "2025-03-07T01:40:21.213Z" },
+]
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+[[package]]
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+source = { registry = "https://pypi.org/simple" }
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+]
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