Update app.py

app.py

@@ -267,6 +267,13 @@ from googleapiclient.discovery import build
 #     # Placeholder for fetching recommendations based on keywords
 #     return f"Recommendations for: {keywords}"  # Dummy return for now
 ######################################
+
+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
@@ -334,9 +341,44 @@ def process_youtube_video(url="", keywords=""):
     except Exception as e:
         return None, f"Error: {str(e)}", "N/A", "", ""
 
+def extract_video_id(url):
+    """
+    Extracts the video ID from a YouTube 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):
+    """
+    Fetches video metadata such as title and description using the YouTube Data API.
+    """
+    try:
+        YOUTUBE_API_KEY = "YOUR_YOUTUBE_API_KEY"  # Replace with your YouTube Data API key
+        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):
+    """
+    Cleans the transcript text by removing extra spaces, line breaks, and non-text elements.
+    """
+    cleaned_text = " ".join(text.split())
+    return cleaned_text
+
 def get_detailed_sentiment(polarity):
     """
-    Returns a more detailed sentiment classification with numerical score
+    Returns a more detailed sentiment classification with numerical score.
     """
     if polarity > 0.75:
         return f"Very Positive ({polarity:.2f})"
@@ -349,6 +391,22 @@ def get_detailed_sentiment(polarity):
     else:
         return f"Very Negative ({polarity:.2f})"
 
+def get_recommendations(keywords):
+    """
+    Fetches related video recommendations based on the provided keywords.
+    """
+    # 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"