Updated description

app.py

@@ -48,7 +48,6 @@ def get_github_docs(repo_link):
 
 #Code for  creating a new space for the user 
 def create_space(repo_link, hf_token):
-    print("***********INSIDE CREATE SPACE***************")
     repo_name = repo_link.split('/')[-1]
     api = HfApi(token=hf_token)
     repo_url = api.create_repo(
@@ -61,9 +60,7 @@ def create_space(repo_link, hf_token):
 #Code for creating the search index
 #Saving search index to disk
 def create_search_index(repo_link, openai_api_key):
-    print("***********INSIDE CREATE SEARCH INDEX***************")
-    #openai = OpenAI(temperature=0, openai_api_key=openai_api_key )
-    sources = get_github_docs(repo_link)  #"gradio-app", "gradio"
+    sources = get_github_docs(repo_link)  
     source_chunks = []
     splitter = CharacterTextSplitter(separator=" ", chunk_size=1024, chunk_overlap=0)
     for source in sources:
@@ -78,7 +75,6 @@ def create_search_index(repo_link, openai_api_key):
     return "search_index.pickle"
 
 def upload_files_to_space(repo_link, hf_token):
-    print("***********INSIDE UPLOAD FILES TO SPACE***************")
     repo_name = repo_link.split('/')[-1]
     api = HfApi(token=hf_token)
     user_name = whoami(token=hf_token)['name']
@@ -87,7 +83,6 @@ def upload_files_to_space(repo_link, hf_token):
     with open("template/app_og.py", "r") as f:
         app = f.read()
     app = app.replace("$RepoName", repo_name)
-    #app = app.replace("$space_id", whoami(token=token)["name"] + "/" + model_id.split("/")[-1])
     
     #Saving the new app.py file to disk 
     with open("template/app.py", "w") as f:
@@ -120,16 +115,13 @@ def upload_files_to_space(repo_link, hf_token):
 
     repo_url = f"https://huggingface.co/spaces/{user_name}/LangChain_{repo_name}Bot"
     space_name = f"{user_name}/LangChain_{repo_name}Bot"
-    #return f"Successfully created the Chatbot at: <a href="+ repo_url + " target='_blank'>" + space_name + "</a>"
-    return "<p style='color: orange; text-align: center; font-size: 24px; background-color: lightgray;'>Successfully created the Chatbot at: <a href="+ repo_url + " target='_blank'>" + space_name + "</a></p>"
-    #<p style="color: orange; text-align: center; font-size: 24px; background-color: lightgray; display: inline-block;">This is some text</p>
+    return "<p style='color: orange; text-align: center; font-size: 24px; background-color: lightgray;'>🎉Congratulations🎉 Chatbot created successfully! Access it here : <a href="+ repo_url + " target='_blank'>" + space_name + "</a></p>"
 
 
 def driver(repo_link, hf_token):
     #create search index openai_api_key=openai_api_key
     #search_index_pickle = create_search_index(repo_link, openai_api_key)
     #create a new space
-    print("***********INSIDE DRIVER***************")
     create_space(repo_link, hf_token)
     #upload files to the new space
     html_tag = upload_files_to_space(repo_link, hf_token)
@@ -155,11 +147,11 @@ with gr.Blocks() as demo:
         </h1>
         </div>
         <p style="margin-bottom: 10px; font-size: 94%">
-        Hi, I'm an <b>automated</b> Q & A Chatbot creator. Just copy and paste your <b>Github Repo link</b>, type in your OpenAI API key, and press the button! 
-        The app will generate the FAISS embedding vector space and will also make it available for you to download. Next, enter your Huggingface Token and press the final button to create your own QandA Chatbot under your profile on HF.
-        Press the link displayed for your new space and enjoy your own state-of-the-art QandA chatbot!
-        <br>Built using <a href="https://langchain.readthedocs.io/en/latest/" target="_blank">LangChain</a> and <a href="https://github.com/gradio-app/gradio" target="_blank">Gradio</a>
-        <a href="https://huggingface.co/spaces/ysharma/LangchainBot-space-creator?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> 
+        Generate a top-notch <b>Q&A Chatbot</b> for your Github Repo, using <a href="https://langchain.readthedocs.io/en/latest/" target="_blank">LangChain</a> and <a href="https://github.com/gradio-app/gradio" target="_blank">Gradio</a>. 
+        Paste your Github repository link, enter your OpenAI API key, and the app will create a FAISS embedding vector space for you. 
+        Next, input your Huggingface Token and press the final button.<br><br>
+        Your new chatbot will be ready under your Huggingface profile, accessible via the displayed link.
+        <center><a href="https://huggingface.co/spaces/ysharma/LangchainBot-space-creator?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></center> 
         </p>
     </div>""")
     with gr.Row() :