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Claude commited on
feat: Improve UI/UX with step-by-step layout and better docs
Browse files- Add step-by-step instructions in Analyze tab
- Improve login button placement with status display
- Add placeholder text and info tooltips for inputs
- Add chatbot height and better layout in Chat tab
- Update README with features and usage instructions
- Update E2E tests for new UI structure
- README.md +25 -1
- app.py +44 -19
- tests/test_e2e.py +27 -16
README.md
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@@ -14,4 +14,28 @@ hf_oauth_expiration_minutes: 480
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# Video Analyzer
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A Gradio application.
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# Video Analyzer
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A Gradio application for downloading, transcribing, and analyzing YouTube videos using AI.
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## Features
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- **YouTube Video Download**: Download videos or entire playlists
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- **Speech-to-Text**: Transcribe audio using OpenAI Whisper
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- **Visual Analysis**: Extract and describe key frames using BLIP vision model
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- **Knowledge Base**: Store analyzed content in a vector database (ChromaDB)
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- **RAG Chatbot**: Ask questions about your analyzed videos using Qwen2.5-72B
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## How to Use
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1. **Sign in** with your HuggingFace account (required)
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2. **Analyze Videos** tab:
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- Paste a YouTube video or playlist URL
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- Enable/disable frame analysis
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- Click "Analyze Video" to process
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3. **Chat with Videos** tab:
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- Ask questions about videos you've analyzed
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- The AI will search the knowledge base and provide answers
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## Requirements
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- HuggingFace account for OAuth authentication
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- FFmpeg (for audio extraction)
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app.py
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@@ -408,29 +408,36 @@ def get_knowledge_stats() -> str:
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def create_demo() -> gr.Blocks:
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"""Create and configure the Gradio demo application."""
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with gr.Blocks() as demo:
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gr.Markdown("# Video Analyzer")
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gr.Markdown("Download, transcribe, analyze, and chat with YouTube videos using AI")
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gr.
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gr.Markdown("---")
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with gr.Tabs():
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with gr.TabItem("Analyze Videos"):
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label="YouTube URL",
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placeholder="Enter a YouTube video or playlist URL",
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scale=4,
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)
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with gr.Row():
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analyze_frames = gr.Checkbox(
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label="Analyze video frames (visual context)",
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value=True,
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)
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num_frames = gr.Slider(
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label="Number of frames to analyze",
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maximum=10,
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value=5,
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step=1,
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)
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submit_btn.click(
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fn=process_youtube,
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with gr.TabItem("Chat with Videos"):
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kb_stats = gr.Markdown()
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)
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def respond(
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message: str,
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# Update stats on tab load
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demo.load(get_knowledge_stats, outputs=kb_stats)
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demo.load(hello, inputs=None, outputs=
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demo.load(list_organizations, inputs=None, outputs=
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return demo
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def create_demo() -> gr.Blocks:
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"""Create and configure the Gradio demo application."""
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with gr.Blocks(title="Video Analyzer") as demo:
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gr.Markdown("# Video Analyzer")
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gr.Markdown("Download, transcribe, analyze, and chat with YouTube videos using AI")
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with gr.Row():
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with gr.Column(scale=3):
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login_status = gr.Markdown()
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org_status = gr.Markdown()
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with gr.Column(scale=1):
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gr.LoginButton()
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gr.Markdown("---")
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with gr.Tabs():
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with gr.TabItem("Analyze Videos"):
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gr.Markdown("### Step 1: Enter a YouTube URL")
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gr.Markdown("*Paste a video or playlist URL below*")
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url_input = gr.Textbox(
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label="YouTube URL",
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placeholder="https://www.youtube.com/watch?v=...",
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lines=1,
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)
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gr.Markdown("### Step 2: Configure Analysis Options")
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with gr.Row():
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analyze_frames = gr.Checkbox(
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label="Analyze video frames (visual context)",
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value=True,
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info="Extract and describe key frames from the video",
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)
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num_frames = gr.Slider(
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label="Number of frames to analyze",
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maximum=10,
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value=5,
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step=1,
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info="More frames = better context but slower",
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)
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gr.Markdown("### Step 3: Analyze")
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submit_btn = gr.Button("Analyze Video", variant="primary", size="lg")
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gr.Markdown("### Results")
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output = gr.Markdown(
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value="*Results will appear here after analysis*",
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label="Analysis Output",
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)
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submit_btn.click(
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fn=process_youtube,
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with gr.TabItem("Chat with Videos"):
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kb_stats = gr.Markdown()
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gr.Markdown("*Ask questions about videos you've analyzed*")
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chatbot = gr.Chatbot(
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label="Video Chat",
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height=400,
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placeholder="Your conversation will appear here...",
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)
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with gr.Row():
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chat_input = gr.Textbox(
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label="Your Question",
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placeholder="What topics were discussed in the videos?",
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scale=4,
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lines=1,
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)
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chat_btn = gr.Button("Ask", variant="primary", scale=1)
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def respond(
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message: str,
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# Update stats on tab load
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demo.load(get_knowledge_stats, outputs=kb_stats)
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demo.load(hello, inputs=None, outputs=login_status)
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demo.load(list_organizations, inputs=None, outputs=org_status)
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return demo
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tests/test_e2e.py
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# Check title is visible
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expect(page.locator("text=Video Analyzer")).to_be_visible()
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def test_login_button_visible(self, page: Page, app_url: str):
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"""Test that the login button is visible."""
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page.goto(app_url)
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"""Test that the YouTube URL input field exists."""
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page.goto(app_url)
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# Check for URL input
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url_input = page.locator("
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expect(url_input).to_be_visible()
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def test_analyze_button_exists(self, page: Page, app_url: str):
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"""Test that the frame analysis checkbox exists."""
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page.goto(app_url)
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# Check for checkbox
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checkbox = page.locator("text=Analyze video frames")
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expect(checkbox).to_be_visible()
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slider_label = page.locator("text=Number of frames")
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expect(slider_label).to_be_visible()
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def test_can_switch_to_chat_tab(self, page: Page, app_url: str):
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"""Test switching to the Chat tab."""
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page.goto(app_url)
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# Click Chat tab
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page.click("text=Chat with Videos")
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# Verify chat
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expect(chat_input).to_be_visible()
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def test_ask_button_in_chat_tab(self, page: Page, app_url: str):
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"""Test that Ask button exists in Chat tab."""
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ask_btn = page.locator("button:has-text('Ask')")
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expect(ask_btn).to_be_visible()
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def
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"""Test that
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page.goto(app_url)
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#
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page.click("
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# Wait for response
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time.sleep(2)
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#
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expect(response).to_be_visible()
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# Check title is visible
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expect(page.locator("text=Video Analyzer")).to_be_visible()
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def test_app_description_visible(self, page: Page, app_url: str):
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"""Test that the app description is visible."""
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page.goto(app_url)
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# Check description
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expect(page.locator("text=Download, transcribe, analyze")).to_be_visible()
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def test_login_button_visible(self, page: Page, app_url: str):
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"""Test that the login button is visible."""
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page.goto(app_url)
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"""Test that the YouTube URL input field exists."""
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page.goto(app_url)
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# Check for URL input with placeholder
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url_input = page.locator("input[type='text'], textarea").first
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expect(url_input).to_be_visible()
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def test_analyze_button_exists(self, page: Page, app_url: str):
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"""Test that the frame analysis checkbox exists."""
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page.goto(app_url)
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# Check for checkbox label
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checkbox = page.locator("text=Analyze video frames")
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expect(checkbox).to_be_visible()
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slider_label = page.locator("text=Number of frames")
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expect(slider_label).to_be_visible()
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def test_step_instructions_visible(self, page: Page, app_url: str):
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"""Test that step instructions are visible."""
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page.goto(app_url)
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# Check for step labels
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expect(page.locator("text=Step 1")).to_be_visible()
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expect(page.locator("text=Step 2")).to_be_visible()
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expect(page.locator("text=Step 3")).to_be_visible()
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def test_can_switch_to_chat_tab(self, page: Page, app_url: str):
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"""Test switching to the Chat tab."""
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page.goto(app_url)
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# Click Chat tab
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page.click("text=Chat with Videos")
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# Verify chat elements are visible
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expect(page.locator("text=Ask questions about videos")).to_be_visible()
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def test_ask_button_in_chat_tab(self, page: Page, app_url: str):
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"""Test that Ask button exists in Chat tab."""
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ask_btn = page.locator("button:has-text('Ask')")
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expect(ask_btn).to_be_visible()
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def test_knowledge_base_status_in_chat_tab(self, page: Page, app_url: str):
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"""Test that knowledge base status is shown in Chat tab."""
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page.goto(app_url)
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# Switch to Chat tab
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page.click("text=Chat with Videos")
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# Should show empty knowledge base message
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expect(page.locator("text=Knowledge base")).to_be_visible()
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