Update output, inline

app.py

@@ -428,26 +428,22 @@ def text_to_text_generation(verbose, prompt):
             f"# 📚KubeWizard📚\n"
             f"#### A helpful Kubernetes Assistant powered by Component Soft\n"
             f"--------------------------------------------\n"
-            f"# Classified your prompt as:  \n"
+            f"# Classified your prompt as:\n"
             f"{modes}\n\n"
             f"--------------------------------------------\n"
-            f"# Answer with finetuned model  \n"
-            f"## Prompt given to the model:  \n"
+            f"# Answer with finetuned model\n"
+            f"## Prompt given to the model:\n"
             f"{str_to_md(res_prompt)}\n\n"
-            f"## Model's answer:  \n"
+            f"## Model's answer:\n"
             f"{str_to_md(res_normal)}\n\n"
             f"--------------------------------------------\n"
-            f"# Answer with RAG  \n"
-            f"## Section 1: Preparing for generation  \n"
-            f"{res_semantic_search_md}  \n"
-            f"## Section 2: Generating answer  \n"
-            f"{str_to_md(res_semantic_search)}  \n"
+            f"# Answer with RAG\n"
+            f"## Section 1: Preparing for generation\n\n {res_semantic_search_md}\n"
+            f"## Section 2: Generating answer\n\n {str_to_md(res_semantic_search)}\n"
             f"--------------------------------------------\n"
-            f"# Answer with Google search  \n"
-            f"## Section 1: Preparing for generation  \n"
-            f"{res_google_search_md}  \n"
-            f"## Section 2: Generating answer  \n"
-            f"{str_to_md(res_google_search)}  \n"
+            f"# Answer with Google search\n"
+            f"## Section 1: Preparing for generation\n\n {res_google_search_md}\n"
+            f"## Section 2: Generating answer\n\n {str_to_md(res_google_search)}\n"
         )
     else:
         return (