Update app.py

app.py

@@ -177,27 +177,43 @@ def generate_optimized_content(api_key, summarized_transcript):
     except Exception as e:
         print(f"Error generating content: {e}")
         return None
+YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+# Add all your functions like `extract_video_id()`, `get_transcript()`, etc.
+
+# Gradio Function for YouTube SEO
 def youtube_seo_pipeline(youtube_url):
-    openai.api_key = OPENAI_API_KEY
+    print("Starting the SEO pipeline...")  # Debugging line
+    
     if not YOUTUBE_API_KEY or not OPENAI_API_KEY:
         return "API keys missing! Please check environment variables."
     
+    print("Extracting video ID...")
     video_id = extract_video_id(youtube_url)
     if not video_id:
         return "Invalid YouTube URL."
     
+    print(f"Video ID: {video_id}")
+    
+    print("Fetching transcript...")
     transcript = get_transcript(youtube_url, YOUTUBE_API_KEY)
     if not transcript:
         return "Failed to fetch transcript. Try another video."
     
+    print("Summarizing transcript...")
     summarized_text = summarize_text_huggingface(transcript)
+    print(f"Summarized Text: {summarized_text[:200]}...")  # Show only the first 200 chars
+    
+    print("Generating optimized content...")
     optimized_content = generate_optimized_content(OPENAI_API_KEY, summarized_text)
+    
     if optimized_content:
         return json.dumps(optimized_content, indent=4)
     else:
         return "Failed to generate SEO content."
 
-# Define the Gradio Interface
+# Define Gradio Interface
 iface = gr.Interface(
     fn=youtube_seo_pipeline,
     inputs="text",
@@ -206,6 +222,6 @@ iface = gr.Interface(
     description="Enter a YouTube video URL to fetch and optimize SEO content (title, description, tags, and keywords)."
 )
 
-# Run the Gradio app
+# Launch Gradio App
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch()