Update app.py

app.py

@@ -67,71 +67,71 @@ else:
     raise ValueError("HF_TOKEN environment variable not set.")
 
 
-# # Configuration
-# USER_CREDENTIALS = {
-#     "admin": "password123",
-#     "teacher": "teach2024",
-#     "student": "learn2024"
-# }
+# Configuration
+USER_CREDENTIALS = {
+    "admin": "password123",
+    "teacher": "teach2024",
+    "student": "learn2024"
+}
 
-# import os
-# from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
+import os
+from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
 
-# # Use environment variables
-# GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
-# YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
+# Use environment variables
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
 
-# if not GOOGLE_API_KEY or not YOUTUBE_API_KEY:
-#     raise ValueError("Please set GOOGLE_API_KEY and YOUTUBE_API_KEY environment variables")
+if not GOOGLE_API_KEY or not YOUTUBE_API_KEY:
+    raise ValueError("Please set GOOGLE_API_KEY and YOUTUBE_API_KEY environment variables")
 
-# genai.configure(api_key=GOOGLE_API_KEY)
-
-# # Database
-# students_data = [
-#     (1, "Alice", "A", "Computer Science"),
-#     (2, "Aliaa", "B", "Mathematics"),
-#     (3, "Charlie", "A", "Machine Learning"),
-#     (4, "Daan", "A", "Physics"),
-#     (5, "Jhon", "C", "Math"),
-#     (6, "Emma", "A+", "Computer Science")
-# ]
-
-# teachers_data = [
-#     (1, "Dr. Smith", "Math", "MS Mathematics"),
-#     (2, "Ms. Johnson", "Science", "MSc Physics"),
-#     (3, "Ms. Jack", "Artificial Intelligence Engineer", "MSc AI"),
-#     (4, "Ms. Evelyn", "Computer Science", "MSc Computer Science"),
-# ]
-
-# courses_data = [
-#     (1, "Algebra", "Dr. Smith", "Advanced"),
-#     (2, "Biology", "Ms. Mia", "Intermediate"),
-#     (3, "Machine Learning", "Ms. Jack", "Intermediate"),
-#     (4, "Computer Science", "Ms. Evelyn", "Intermediate"),
-#     (5, "Mathematics", "Ms. Smith", "Intermediate")
-# ]
-
-# def sanitize_text(text):
-#     """Remove invalid Unicode characters."""
-#     return text.encode("utf-8", "replace").decode("utf-8")
+genai.configure(api_key=GOOGLE_API_KEY)
+
+# Database
+students_data = [
+    (1, "Alice", "A", "Computer Science"),
+    (2, "Aliaa", "B", "Mathematics"),
+    (3, "Charlie", "A", "Machine Learning"),
+    (4, "Daan", "A", "Physics"),
+    (5, "Jhon", "C", "Math"),
+    (6, "Emma", "A+", "Computer Science")
+]
+
+teachers_data = [
+    (1, "Dr. Smith", "Math", "MS Mathematics"),
+    (2, "Ms. Johnson", "Science", "MSc Physics"),
+    (3, "Ms. Jack", "Artificial Intelligence Engineer", "MSc AI"),
+    (4, "Ms. Evelyn", "Computer Science", "MSc Computer Science"),
+]
+
+courses_data = [
+    (1, "Algebra", "Dr. Smith", "Advanced"),
+    (2, "Biology", "Ms. Mia", "Intermediate"),
+    (3, "Machine Learning", "Ms. Jack", "Intermediate"),
+    (4, "Computer Science", "Ms. Evelyn", "Intermediate"),
+    (5, "Mathematics", "Ms. Smith", "Intermediate")
+]
+
+def sanitize_text(text):
+    """Remove invalid Unicode characters."""
+    return text.encode("utf-8", "replace").decode("utf-8")
 
-# def extract_video_id(url):
-#     if not url:
-#         return None
-#     patterns = [
-#         r'(?:v=|\/videos\/|embed\/|youtu.be\/|\/v\/|\/e\/|watch\?v=|\/watch\?v=)([^#\&\?]*)'
-#     ]
-#     for pattern in patterns:
-#         match = re.search(pattern, url)
-#         if match:
-#             return match.group(1)
-#     return None
-
-# from textblob import TextBlob
-# from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
-# import re
-# from collections import Counter
-# from googleapiclient.discovery import build
+def extract_video_id(url):
+    if not url:
+        return None
+    patterns = [
+        r'(?:v=|\/videos\/|embed\/|youtu.be\/|\/v\/|\/e\/|watch\?v=|\/watch\?v=)([^#\&\?]*)'
+    ]
+    for pattern in patterns:
+        match = re.search(pattern, url)
+        if match:
+            return match.group(1)
+    return None
+
+from textblob import TextBlob
+from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
+import re
+from collections import Counter
+from googleapiclient.discovery import build
 # def process_youtube_video(url="", keywords=""):
 #     try:
 #         # Initialize variables
@@ -269,189 +269,6 @@ else:
 #     # Placeholder for fetching recommendations based on keywords
 #     return f"Recommendations for: {keywords}"  # Dummy return for now
 
-
-
-# def get_recommendations(keywords, max_results=5):
-#     if not keywords:
-#         return "Please provide search keywords"
-#     try:
-#         response = requests.get(
-#             "https://www.googleapis.com/youtube/v3/search",
-#             params={
-#                 "part": "snippet",
-#                 "q": f"educational {keywords}",
-#                 "type": "video",
-#                 "maxResults": max_results,
-#                 "relevanceLanguage": "en",
-#                 "key": YOUTUBE_API_KEY
-#             }
-#         ).json()
-        
-#         results = []
-#         for item in response.get("items", []):
-#             title = item["snippet"]["title"]
-#             channel = item["snippet"]["channelTitle"]
-#             video_id = item["id"]["videoId"]
-#             results.append(f"📺 {title}\n👤 {channel}\n🔗 https://youtube.com/watch?v={video_id}\n")
-        
-#         return "\n".join(results) if results else "No recommendations found"
-#     except Exception as e:
-#         return f"Error: {str(e)}"
-
-# # Gradio Interface
-# with gr.Blocks(theme=gr.themes.Soft()) as app:
-#     # Login Page
-#     with gr.Group() as login_page:
-#         gr.Markdown("# 🎓 Educational Learning Management System")
-#         username = gr.Textbox(label="Username")
-#         password = gr.Textbox(label="Password", type="password")
-#         login_btn = gr.Button("Login", variant="primary")
-#         login_msg = gr.Markdown()
-    
-#     # Main Interface
-#     with gr.Group(visible=False) as main_page:
-#         with gr.Row():
-#             with gr.Column(scale=1):
-#                 gr.Markdown("### 📋 Navigation")
-#                 nav_dashboard = gr.Button("📊 Dashboard", variant="primary")
-#                 nav_students = gr.Button("👥 Students")
-#                 nav_teachers = gr.Button("👨‍🏫 Teachers")
-#                 nav_courses = gr.Button("📚 Courses")
-#                 nav_youtube = gr.Button("🎥 YouTube Tool")
-#                 logout_btn = gr.Button("🚪 Logout", variant="stop")
-            
-#             with gr.Column(scale=3):
-#                 # Dashboard Content
-#                 dashboard_page = gr.Group()
-#                 with dashboard_page:
-#                     gr.Markdown("## 📊 Dashboard")
-#                     gr.Markdown(f"""
-#                     ### System Overview
-#                     - 👥 Total Students: {len(students_data)}
-#                     - 👨‍🏫 Total Teachers: {len(teachers_data)}
-#                     - 📚 Total Courses: {len(courses_data)}
-                    
-#                     ### Quick Actions
-#                     - View student performance
-#                     - Access course materials
-#                     - Generate learning insights
-#                     """)
-                
-#                 # Students Content
-#                 students_page = gr.Group(visible=False)
-#                 with students_page:
-#                     gr.Markdown("## 👥 Students")
-#                     gr.DataFrame(
-#                         value=students_data,
-#                         headers=["ID", "Name", "Grade", "Program"]
-#                     )
-                
-#                 # Teachers Content
-#                 teachers_page = gr.Group(visible=False)
-#                 with teachers_page:
-#                     gr.Markdown("## 👨‍🏫 Teachers")
-#                     gr.DataFrame(
-#                         value=teachers_data,
-#                         headers=["ID", "Name", "Subject", "Qualification"]
-#                     )
-                
-#                 # Courses Content
-#                 courses_page = gr.Group(visible=False)
-#                 with courses_page:
-#                     gr.Markdown("## 📚 Courses")
-#                     gr.DataFrame(
-#                         value=courses_data,
-#                         headers=["ID", "Name", "Instructor", "Level"]
-#                     )
-                
-#                 # YouTube Tool Content
-#                 youtube_page = gr.Group(visible=False)
-#                 with youtube_page:
-#                     gr.Markdown("## Agent for YouTube Content Exploration")
-#                     with gr.Row():
-#                         with gr.Column(scale=2):
-#                             video_url = gr.Textbox(
-#                                 label="YouTube URL",
-#                                 placeholder="https://youtube.com/watch?v=..."
-#                             )
-#                             keywords = gr.Textbox(
-#                                 label="Keywords for Recommendations",
-#                                 placeholder="e.g., python programming, machine learning"
-#                             )
-#                             analyze_btn = gr.Button("🔍 Analyze Video", variant="primary")
-                        
-#                         with gr.Column(scale=1):
-#                             video_thumbnail = gr.Image(label="Video Preview")
-                    
-#                     with gr.Row():
-#                         with gr.Column():
-#                             summary = gr.Textbox(label="📝 Summary", lines=8)
-#                             sentiment = gr.Textbox(label="😊 Content Sentiment")
-#                         with gr.Column():
-#                             recommendations = gr.Textbox(label="🎯 Related Videos", lines=10)
-
-#     def login_check(user, pwd):
-#         if USER_CREDENTIALS.get(user) == pwd:
-#             return {
-#                 login_page: gr.update(visible=False),
-#                 main_page: gr.update(visible=True),
-#                 login_msg: ""
-#             }
-#         return {
-#             login_page: gr.update(visible=True),
-#             main_page: gr.update(visible=False),
-#             login_msg: "❌ Invalid credentials"
-#         }
-    
-#     def show_page(page_name):
-#         updates = {
-#             dashboard_page: gr.update(visible=False),
-#             students_page: gr.update(visible=False),
-#             teachers_page: gr.update(visible=False),
-#             courses_page: gr.update(visible=False),
-#             youtube_page: gr.update(visible=False)
-#         }
-#         updates[page_name] = gr.update(visible=True)
-#         return updates
-    
-#     # Event Handlers
-#     login_btn.click(
-#         login_check,
-#         inputs=[username, password],
-#         outputs=[login_page, main_page, login_msg]
-#     )
-    
-#     nav_dashboard.click(lambda: show_page(dashboard_page), outputs=list(show_page(dashboard_page).keys()))
-#     nav_students.click(lambda: show_page(students_page), outputs=list(show_page(students_page).keys()))
-#     nav_teachers.click(lambda: show_page(teachers_page), outputs=list(show_page(teachers_page).keys()))
-#     nav_courses.click(lambda: show_page(courses_page), outputs=list(show_page(courses_page).keys()))
-#     nav_youtube.click(lambda: show_page(youtube_page), outputs=list(show_page(youtube_page).keys()))
-    
-#     analyze_btn.click(
-#         process_youtube_video,
-#         inputs=[video_url, keywords],
-#         outputs=[video_thumbnail, summary, sentiment, recommendations]
-#     )
-    
-#     logout_btn.click(
-#         lambda: {
-#             login_page: gr.update(visible=True),
-#             main_page: gr.update(visible=False)
-#         },
-#         outputs=[login_page, main_page]
-#     )
-
-# if __name__ == "__main__":
-#     app.launch()
-
-
-# Configuration
-GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
-YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
-
-if not GOOGLE_API_KEY or not YOUTUBE_API_KEY:
-    raise ValueError("Please set GOOGLE_API_KEY and YOUTUBE_API_KEY environment variables")
-
 def extract_video_id(url):
     match = re.search(r"(?:v=|\/)([0-9A-Za-z_-]{11})", url)
     return match.group(1) if match else None
@@ -559,29 +376,323 @@ def process_youtube_video(url, keywords):
     except Exception as e:
         return None, f"Error: {str(e)}", "N/A", ""
 
-# Gradio Interface
-with gr.Blocks() as app:
-    with gr.Row():
-        gr.Markdown("# YouTube Content Analysis Tool")
 
-    with gr.Row():
-        video_url = gr.Textbox(label="YouTube URL", placeholder="https://youtube.com/watch?v=...")
-        keywords = gr.Textbox(label="Keywords for Recommendations", placeholder="e.g., Python programming")
-        analyze_btn = gr.Button("Analyze")
 
-    with gr.Row():
-        video_thumbnail = gr.Image(label="Thumbnail")
-        summary = gr.Textbox(label="Summary", lines=5)
 
-    with gr.Row():
-        sentiment = gr.Textbox(label="Sentiment")
-        recommendations = gr.Textbox(label="Related Videos", lines=5)
 
+
+
+# def get_recommendations(keywords, max_results=5):
+#     if not keywords:
+#         return "Please provide search keywords"
+#     try:
+#         response = requests.get(
+#             "https://www.googleapis.com/youtube/v3/search",
+#             params={
+#                 "part": "snippet",
+#                 "q": f"educational {keywords}",
+#                 "type": "video",
+#                 "maxResults": max_results,
+#                 "relevanceLanguage": "en",
+#                 "key": YOUTUBE_API_KEY
+#             }
+#         ).json()
+        
+#         results = []
+#         for item in response.get("items", []):
+#             title = item["snippet"]["title"]
+#             channel = item["snippet"]["channelTitle"]
+#             video_id = item["id"]["videoId"]
+#             results.append(f"📺 {title}\n👤 {channel}\n🔗 https://youtube.com/watch?v={video_id}\n")
+        
+#         return "\n".join(results) if results else "No recommendations found"
+#     except Exception as e:
+#         return f"Error: {str(e)}"
+
+# Gradio Interface
+with gr.Blocks(theme=gr.themes.Soft()) as app:
+    # Login Page
+    with gr.Group() as login_page:
+        gr.Markdown("# 🎓 Educational Learning Management System")
+        username = gr.Textbox(label="Username")
+        password = gr.Textbox(label="Password", type="password")
+        login_btn = gr.Button("Login", variant="primary")
+        login_msg = gr.Markdown()
+    
+    # Main Interface
+    with gr.Group(visible=False) as main_page:
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown("### 📋 Navigation")
+                nav_dashboard = gr.Button("📊 Dashboard", variant="primary")
+                nav_students = gr.Button("👥 Students")
+                nav_teachers = gr.Button("👨‍🏫 Teachers")
+                nav_courses = gr.Button("📚 Courses")
+                nav_youtube = gr.Button("🎥 YouTube Tool")
+                logout_btn = gr.Button("🚪 Logout", variant="stop")
+            
+            with gr.Column(scale=3):
+                # Dashboard Content
+                dashboard_page = gr.Group()
+                with dashboard_page:
+                    gr.Markdown("## 📊 Dashboard")
+                    gr.Markdown(f"""
+                    ### System Overview
+                    - 👥 Total Students: {len(students_data)}
+                    - 👨‍🏫 Total Teachers: {len(teachers_data)}
+                    - 📚 Total Courses: {len(courses_data)}
+                    
+                    ### Quick Actions
+                    - View student performance
+                    - Access course materials
+                    - Generate learning insights
+                    """)
+                
+                # Students Content
+                students_page = gr.Group(visible=False)
+                with students_page:
+                    gr.Markdown("## 👥 Students")
+                    gr.DataFrame(
+                        value=students_data,
+                        headers=["ID", "Name", "Grade", "Program"]
+                    )
+                
+                # Teachers Content
+                teachers_page = gr.Group(visible=False)
+                with teachers_page:
+                    gr.Markdown("## 👨‍🏫 Teachers")
+                    gr.DataFrame(
+                        value=teachers_data,
+                        headers=["ID", "Name", "Subject", "Qualification"]
+                    )
+                
+                # Courses Content
+                courses_page = gr.Group(visible=False)
+                with courses_page:
+                    gr.Markdown("## 📚 Courses")
+                    gr.DataFrame(
+                        value=courses_data,
+                        headers=["ID", "Name", "Instructor", "Level"]
+                    )
+                
+                # YouTube Tool Content
+                youtube_page = gr.Group(visible=False)
+                with youtube_page:
+                    gr.Markdown("## Agent for YouTube Content Exploration")
+                    with gr.Row():
+                        with gr.Column(scale=2):
+                            video_url = gr.Textbox(
+                                label="YouTube URL",
+                                placeholder="https://youtube.com/watch?v=..."
+                            )
+                            keywords = gr.Textbox(
+                                label="Keywords for Recommendations",
+                                placeholder="e.g., python programming, machine learning"
+                            )
+                            analyze_btn = gr.Button("🔍 Analyze Video", variant="primary")
+                        
+                        with gr.Column(scale=1):
+                            video_thumbnail = gr.Image(label="Video Preview")
+                    
+                    with gr.Row():
+                        with gr.Column():
+                            summary = gr.Textbox(label="📝 Summary", lines=8)
+                            sentiment = gr.Textbox(label="😊 Content Sentiment")
+                        with gr.Column():
+                            recommendations = gr.Textbox(label="🎯 Related Videos", lines=10)
+
+    def login_check(user, pwd):
+        if USER_CREDENTIALS.get(user) == pwd:
+            return {
+                login_page: gr.update(visible=False),
+                main_page: gr.update(visible=True),
+                login_msg: ""
+            }
+        return {
+            login_page: gr.update(visible=True),
+            main_page: gr.update(visible=False),
+            login_msg: "❌ Invalid credentials"
+        }
+    
+    def show_page(page_name):
+        updates = {
+            dashboard_page: gr.update(visible=False),
+            students_page: gr.update(visible=False),
+            teachers_page: gr.update(visible=False),
+            courses_page: gr.update(visible=False),
+            youtube_page: gr.update(visible=False)
+        }
+        updates[page_name] = gr.update(visible=True)
+        return updates
+    
+    # Event Handlers
+    login_btn.click(
+        login_check,
+        inputs=[username, password],
+        outputs=[login_page, main_page, login_msg]
+    )
+    
+    nav_dashboard.click(lambda: show_page(dashboard_page), outputs=list(show_page(dashboard_page).keys()))
+    nav_students.click(lambda: show_page(students_page), outputs=list(show_page(students_page).keys()))
+    nav_teachers.click(lambda: show_page(teachers_page), outputs=list(show_page(teachers_page).keys()))
+    nav_courses.click(lambda: show_page(courses_page), outputs=list(show_page(courses_page).keys()))
+    nav_youtube.click(lambda: show_page(youtube_page), outputs=list(show_page(youtube_page).keys()))
+    
     analyze_btn.click(
         process_youtube_video,
         inputs=[video_url, keywords],
         outputs=[video_thumbnail, summary, sentiment, recommendations]
     )
+    
+    logout_btn.click(
+        lambda: {
+            login_page: gr.update(visible=True),
+            main_page: gr.update(visible=False)
+        },
+        outputs=[login_page, main_page]
+    )
 
 if __name__ == "__main__":
     app.launch()
+
+################################################
+# Configuration
+# GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+# YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
+
+# if not GOOGLE_API_KEY or not YOUTUBE_API_KEY:
+#     raise ValueError("Please set GOOGLE_API_KEY and YOUTUBE_API_KEY environment variables")
+
+# def extract_video_id(url):
+#     match = re.search(r"(?:v=|\/)([0-9A-Za-z_-]{11})", url)
+#     return match.group(1) if match else None
+
+# def get_video_metadata(video_id):
+#     try:
+#         youtube = build("youtube", "v3", developerKey=YOUTUBE_API_KEY)
+#         request = youtube.videos().list(part="snippet", id=video_id)
+#         response = request.execute()
+
+#         if "items" in response and len(response["items"]) > 0:
+#             snippet = response["items"][0]["snippet"]
+#             return {
+#                 "title": snippet.get("title", "No title available"),
+#                 "description": snippet.get("description", "No description available"),
+#             }
+#         return {}
+
+#     except Exception as e:
+#         return {"title": "Error fetching metadata", "description": str(e)}
+
+# def clean_text_for_analysis(text):
+#     return " ".join(text.split())
+
+# def extract_subtitle_info(text):
+#     try:
+#         sentences = text.split(". ")
+#         words = text.split()
+#         common_words = Counter(words).most_common(10)
+#         key_topics = ", ".join([word for word, count in common_words])
+#         info = f"Key topics discussed: {key_topics}. \nNumber of sentences: {len(sentences)}. \nTotal words: {len(words)}."
+#         return info
+#     except Exception as e:
+#         return f"Error extracting subtitle information: {str(e)}"
+
+# def get_recommendations(keywords, max_results=5):
+#     if not keywords:
+#         return "Please provide search keywords"
+#     try:
+#         response = requests.get(
+#             "https://www.googleapis.com/youtube/v3/search",
+#             params={
+#                 "part": "snippet",
+#                 "q": f"educational {keywords}",
+#                 "type": "video",
+#                 "maxResults": max_results,
+#                 "relevanceLanguage": "en",
+#                 "key": YOUTUBE_API_KEY
+#             }
+#         ).json()
+
+#         results = []
+#         for item in response.get("items", []):
+#             title = item["snippet"]["title"]
+#             channel = item["snippet"]["channelTitle"]
+#             video_id = item["id"]["videoId"]
+#             results.append(f"📺 {title}\n👤 {channel}\n🔗 https://youtube.com/watch?v={video_id}\n")
+
+#         return "\n".join(results) if results else "No recommendations found"
+#     except Exception as e:
+#         return f"Error: {str(e)}"
+
+# def process_youtube_video(url, keywords):
+#     try:
+#         thumbnail = None
+#         summary = "No transcript available"
+#         sentiment_label = "N/A"
+#         recommendations = ""
+
+#         video_id = extract_video_id(url)
+#         if not video_id:
+#             return None, "Invalid YouTube URL", "N/A", "", ""
+
+#         thumbnail = f"https://img.youtube.com/vi/{video_id}/maxresdefault.jpg"
+
+#         try:
+#             transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
+#             transcript = None
+#             try:
+#                 transcript = transcript_list.find_transcript(['en'])
+#             except:
+#                 transcript = transcript_list.find_generated_transcript(['en'])
+
+#             text = " ".join([t['text'] for t in transcript.fetch()])
+#             if not text.strip():
+#                 raise ValueError("Transcript is empty")
+
+#             cleaned_text = clean_text_for_analysis(text)
+
+#             sentiment = TextBlob(cleaned_text).sentiment
+#             sentiment_label = f"{'Positive' if sentiment.polarity > 0 else 'Negative' if sentiment.polarity < 0 else 'Neutral'} ({sentiment.polarity:.2f})"
+
+#             summary = f"Summary: {cleaned_text[:400]}..."
+
+#         except (TranscriptsDisabled, NoTranscriptFound):
+#             metadata = get_video_metadata(video_id)
+#             summary = metadata.get("description", "No subtitles available")
+#             sentiment_label = "N/A"
+
+#         if keywords.strip():
+#             recommendations = get_recommendations(keywords)
+
+#         return thumbnail, summary, sentiment_label, recommendations
+
+#     except Exception as e:
+#         return None, f"Error: {str(e)}", "N/A", ""
+
+# # Gradio Interface
+# with gr.Blocks() as app:
+#     with gr.Row():
+#         gr.Markdown("# YouTube Content Analysis Tool")
+
+#     with gr.Row():
+#         video_url = gr.Textbox(label="YouTube URL", placeholder="https://youtube.com/watch?v=...")
+#         keywords = gr.Textbox(label="Keywords for Recommendations", placeholder="e.g., Python programming")
+#         analyze_btn = gr.Button("Analyze")
+
+#     with gr.Row():
+#         video_thumbnail = gr.Image(label="Thumbnail")
+#         summary = gr.Textbox(label="Summary", lines=5)
+
+#     with gr.Row():
+#         sentiment = gr.Textbox(label="Sentiment")
+#         recommendations = gr.Textbox(label="Related Videos", lines=5)
+
+#     analyze_btn.click(
+#         process_youtube_video,
+#         inputs=[video_url, keywords],
+#         outputs=[video_thumbnail, summary, sentiment, recommendations]
+#     )
+
+# if __name__ == "__main__":
+#     app.launch()