Update app.py

app.py

@@ -7,37 +7,6 @@ Original file is located at
     https://colab.research.google.com/drive/1F6f_vJbssO7C2FM6FILWljFYacDmbVBY
 """
 
-from IPython.display import display, HTML
-
-# Inject CSS to enable wrapping
-display(HTML('''
-    <style>
-        .output_area pre {
-            white-space: pre-wrap;
-        }
-    </style>
-'''))
-
-!pip install transformers gradio
-
-import os
-from google.colab import userdata
-
-# Get the Hugging Face API key from Colab Secrets
-api_key = userdata.get('HF_TOKEN')
-
-# Ensure the API key is set before using it
-if api_key is None:
-    raise ValueError("Hugging Face API key not found. Please ensure it is set in Colab Secrets.")
-
-# Set the Hugging Face token as an environment variable
-os.environ["HF_TOKEN"] = api_key
-
-# Hugging Face libraries will automatically use this token for authentication
-print("Hugging Face API key successfully loaded! You're good to go!")
-
-# Now you can continue with your Hugging Face-related code
-
 # Import necessary libraries
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
@@ -91,20 +60,3 @@ interface = gr.Interface(
 
 # Launch the Gradio interface in Colab
 interface.launch(share=True)  # share=True creates a public link
-
-"""### Uploading to Hugging Face Spaces
-
-Now that we have our chatbot working, here’s how to upload it to Hugging Face Spaces:
-
-1. Go to [Hugging Face Spaces](https://huggingface.co/spaces).
-2. Create a new Space, choose "Gradio" as the app type, and name it (e.g., "My Simple Chatbot").
-3. Upload this notebook, along with any necessary files or model assets.
-4. Set up your Space and click "Deploy." Your Gradio chatbot will now be live!
-
-**Tips for Deployment:**
-- Ensure you include any persona settings or customizations.
-- Test the app after deployment to confirm it works as expected.
-
-Once deployed, students can share the link with family and friends!
-
-"""