ysharma HF staff commited on
Commit
8ebee43
1 Parent(s): 3dc9117

Updated description

Browse files
Files changed (1) hide show
  1. app.py +7 -15
app.py CHANGED
@@ -48,7 +48,6 @@ def get_github_docs(repo_link):
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  #Code for creating a new space for the user
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  def create_space(repo_link, hf_token):
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- print("***********INSIDE CREATE SPACE***************")
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  repo_name = repo_link.split('/')[-1]
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  api = HfApi(token=hf_token)
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  repo_url = api.create_repo(
@@ -61,9 +60,7 @@ def create_space(repo_link, hf_token):
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  #Code for creating the search index
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  #Saving search index to disk
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  def create_search_index(repo_link, openai_api_key):
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- print("***********INSIDE CREATE SEARCH INDEX***************")
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- #openai = OpenAI(temperature=0, openai_api_key=openai_api_key )
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- sources = get_github_docs(repo_link) #"gradio-app", "gradio"
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  source_chunks = []
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  splitter = CharacterTextSplitter(separator=" ", chunk_size=1024, chunk_overlap=0)
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  for source in sources:
@@ -78,7 +75,6 @@ def create_search_index(repo_link, openai_api_key):
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  return "search_index.pickle"
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  def upload_files_to_space(repo_link, hf_token):
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- print("***********INSIDE UPLOAD FILES TO SPACE***************")
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  repo_name = repo_link.split('/')[-1]
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  api = HfApi(token=hf_token)
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  user_name = whoami(token=hf_token)['name']
@@ -87,7 +83,6 @@ def upload_files_to_space(repo_link, hf_token):
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  with open("template/app_og.py", "r") as f:
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  app = f.read()
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  app = app.replace("$RepoName", repo_name)
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- #app = app.replace("$space_id", whoami(token=token)["name"] + "/" + model_id.split("/")[-1])
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  #Saving the new app.py file to disk
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  with open("template/app.py", "w") as f:
@@ -120,16 +115,13 @@ def upload_files_to_space(repo_link, hf_token):
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  repo_url = f"https://huggingface.co/spaces/{user_name}/LangChain_{repo_name}Bot"
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  space_name = f"{user_name}/LangChain_{repo_name}Bot"
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- #return f"Successfully created the Chatbot at: <a href="+ repo_url + " target='_blank'>" + space_name + "</a>"
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- 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>"
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- #<p style="color: orange; text-align: center; font-size: 24px; background-color: lightgray; display: inline-block;">This is some text</p>
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  def driver(repo_link, hf_token):
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  #create search index openai_api_key=openai_api_key
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  #search_index_pickle = create_search_index(repo_link, openai_api_key)
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  #create a new space
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- print("***********INSIDE DRIVER***************")
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  create_space(repo_link, hf_token)
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  #upload files to the new space
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  html_tag = upload_files_to_space(repo_link, hf_token)
@@ -155,11 +147,11 @@ with gr.Blocks() as demo:
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  </h1>
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  </div>
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  <p style="margin-bottom: 10px; font-size: 94%">
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- 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!
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- 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.
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- Press the link displayed for your new space and enjoy your own state-of-the-art QandA chatbot!
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- <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>
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- <a href="https://huggingface.co/spaces/ysharma/LangchainBot-space-creator?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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  </p>
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  </div>""")
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  with gr.Row() :
 
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  #Code for creating a new space for the user
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  def create_space(repo_link, hf_token):
 
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  repo_name = repo_link.split('/')[-1]
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  api = HfApi(token=hf_token)
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  repo_url = api.create_repo(
 
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  #Code for creating the search index
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  #Saving search index to disk
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  def create_search_index(repo_link, openai_api_key):
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+ sources = get_github_docs(repo_link)
 
 
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  source_chunks = []
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  splitter = CharacterTextSplitter(separator=" ", chunk_size=1024, chunk_overlap=0)
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  for source in sources:
 
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  return "search_index.pickle"
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  def upload_files_to_space(repo_link, hf_token):
 
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  repo_name = repo_link.split('/')[-1]
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  api = HfApi(token=hf_token)
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  user_name = whoami(token=hf_token)['name']
 
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  with open("template/app_og.py", "r") as f:
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  app = f.read()
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  app = app.replace("$RepoName", repo_name)
 
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  #Saving the new app.py file to disk
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  with open("template/app.py", "w") as f:
 
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  repo_url = f"https://huggingface.co/spaces/{user_name}/LangChain_{repo_name}Bot"
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  space_name = f"{user_name}/LangChain_{repo_name}Bot"
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+ 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>"
 
 
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  def driver(repo_link, hf_token):
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  #create search index openai_api_key=openai_api_key
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  #search_index_pickle = create_search_index(repo_link, openai_api_key)
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  #create a new space
 
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  create_space(repo_link, hf_token)
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  #upload files to the new space
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  html_tag = upload_files_to_space(repo_link, hf_token)
 
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  </h1>
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  </div>
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  <p style="margin-bottom: 10px; font-size: 94%">
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+ 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>.
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+ Paste your Github repository link, enter your OpenAI API key, and the app will create a FAISS embedding vector space for you.
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+ Next, input your Huggingface Token and press the final button.<br><br>
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+ Your new chatbot will be ready under your Huggingface profile, accessible via the displayed link.
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+ <center><a href="https://huggingface.co/spaces/ysharma/LangchainBot-space-creator?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></center>
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  </p>
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  </div>""")
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  with gr.Row() :