Update app.py

app.py

@@ -24,34 +24,14 @@ For posts about tools and libraries, return "tools_libraries"
 For posts containing tutorials and guides, return "tutorials_guides"
 For posts about debugging and problem-solving, return "debugging"
 Respond only with the category name, without any additional explanation or text.
-
 user
 {pl7_text}
-
 assistant
 '''
     })
 
-    print("API Response:", output)  # Print the full API response
-
     if isinstance(output, list) and len(output) > 0:
-        generated_text = output[0].get('generated_text', '')
-        print("Generated Text:", generated_text)  # Print the generated text
-
-        # Extract the response after the last 'assistant' keyword
-        parts = generated_text.split('assistant\n')
-        if len(parts) > 1:
-            return parts[-1].strip().lower()  # Extract the text after the last 'assistant'
-    return "unknown"
 
-# Entrée personnalisée pour le test
-custom_post_content = """
-This is a sample post about fine-tuning models for specific tasks. 
-It discusses various techniques and best practices for adjusting models.
-"""
+        generated_text = output[0].get('generated_text', '').strip().lower()
 
-print("Post content:")
-print(custom_post_content)
-print("\nAnalyzing sentiment...")
-sentiment = analyze_sentiment(custom_post_content)
-print(f"\nSentiment category: {sentiment}")
+        print("Generated Text:", generated_text)  # Print the generated text