Update from Kaggle notebook

app.py

@@ -1,23 +1,5 @@
 import gradio as gr
 
-def process_input(user_input):
-    """Process user input through the model and return the result."""
-    messages = [{"role": "user", "content": user_input}]
-    
-    # Apply chat template and generate response
-    input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
-    outputs = model.generate(input_tensor, max_new_tokens=300, pad_token_id=tokenizer.eos_token_id)
-    result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
-    
-    return result
-
-from peft import PeftModel
-
-output_weights_path = "/kaggle/working/fine_tuned_deepseek_math_weights.pth"
-torch.save(model.state_dict(), output_weights_path)
-
-import gradio as gr
-
 def process_input(user_input):
     """Process user input through the model and return the result."""
     messages = [{"role": "user", "content": user_input}]
@@ -40,226 +22,8 @@ demo = gr.Interface(
 
 demo.launch(share=True)
 
-import os
-from getpass import getpass
-from huggingface_hub import HfApi, Repository
-import re
-
-# Get your Hugging Face token
-hf_token = getpass("Enter your Hugging Face token: ")
-api = HfApi(token=hf_token)
-
-# Get your Space name (username/space-name)
-space_name = input("Enter your Hugging Face Space name (username/space-name): ")
-
-# Extract the Gradio code from your notebook
-# This assumes your Gradio app is defined in a cell or cells in your notebook
-from IPython import get_ipython
-
-# Get all cells from the notebook
-cells = get_ipython().user_ns.get('In', [])
-
-# Extract cells that contain Gradio code
-gradio_code = []
-in_gradio_block = False
-for cell in cells:
-    # Look for cells that import gradio or define the interface
-    if 'import gradio' in cell or 'gr.Interface' in cell or in_gradio_block:
-        in_gradio_block = True
-        gradio_code.append(cell)
-    # If we find a cell that seems to end the Gradio app definition
-    elif in_gradio_block and ('if __name__' in cell or 'demo.launch()' in cell):
-        gradio_code.append(cell)
-        in_gradio_block = False
-
-# Combine the code and ensure it has a launch method
-combined_code = "\n\n".join(gradio_code)
-
-# Make sure the app launches when run
-if 'if __name__ == "__main__"' not in combined_code:
-    combined_code += '\n\nif __name__ == "__main__":\n    demo.launch()'
-
-# Save to app.py
-with open("app.py", "w") as f:
-    f.write(combined_code)
-
-print("Extracted Gradio code and saved to app.py")
-
-# Clone the existing Space repository
-repo = Repository(
-    local_dir="space_repo",
-    clone_from=f"https://huggingface.co/spaces/{space_name}",
-    token=hf_token,
-    git_user="marwashahid",
-    git_email="[email protected]"
-)
-
-# Copy app.py to the repository
-import shutil
-shutil.copy("app.py", "space_repo/app.py")
-
-# Add requirements if needed
-requirements = """
-gradio>=3.50.2
-"""
-with open("space_repo/requirements.txt", "w") as f:
-    f.write(requirements)
-
-# Commit and push changes
-repo.git_add()
-repo.git_commit("Update from Kaggle notebook")
-repo.git_push()
-
-print(f"Successfully deployed to https://huggingface.co/spaces/{space_name}")
-
-from peft import PeftModel
-import os
-from getpass import getpass
-from huggingface_hub import HfApi, Repository
-import re
-
-# Get your Hugging Face token
-hf_token = getpass("Enter your Hugging Face token: ")
-api = HfApi(token=hf_token)
-
-# Get your Space name (username/space-name)
-space_name = input("Enter your Hugging Face Space name (username/space-name): ")
-
-# Extract the Gradio code from your notebook
-# This assumes your Gradio app is defined in a cell or cells in your notebook
-from IPython import get_ipython
-
-# Get all cells from the notebook
-cells = get_ipython().user_ns.get('In', [])
-
-# Extract cells that contain Gradio code
-gradio_code = []
-in_gradio_block = False
-for cell in cells:
-    # Look for cells that import gradio or define the interface
-    if 'import gradio' in cell or 'gr.Interface' in cell or in_gradio_block:
-        in_gradio_block = True
-        gradio_code.append(cell)
-    # If we find a cell that seems to end the Gradio app definition
-    elif in_gradio_block and ('if __name__' in cell or 'demo.launch()' in cell):
-        gradio_code.append(cell)
-        in_gradio_block = False
-
-# Combine the code and ensure it has a launch method
-combined_code = "\n\n".join(gradio_code)
-
-# Make sure the app launches when run
-if 'if __name__ == "__main__"' not in combined_code:
-    combined_code += '\n\nif __name__ == "__main__":\n    demo.launch()'
-
-# Save to app.py
-with open("app.py", "w") as f:
-    f.write(combined_code)
-
-print("Extracted Gradio code and saved to app.py")
-
-# Clone the existing Space repository
-repo = Repository(
-    local_dir="space_repo",
-    clone_from=f"https://huggingface.co/spaces/{space_name}",
-    token=hf_token,
-    git_user="marwashahid",
-    git_email="[email protected]"
-)
-
-# Copy app.py to the repository
-import shutil
-shutil.copy("app.py", "space_repo/app.py")
-
-# Add requirements if needed
-requirements = """
-gradio>=3.50.2
-"""
-with open("space_repo/requirements.txt", "w") as f:
-    f.write(requirements)
-
-# Commit and push changes
-repo.git_add()
-repo.git_commit("Update from Kaggle notebook")
-repo.git_push()
-
-print(f"Successfully deployed to https://huggingface.co/spaces/{space_name}")
-
 get_ipython().run_line_magic('pip', 'install peft')
 
-from peft import PeftModel
-import os
-from getpass import getpass
-from huggingface_hub import HfApi, Repository
-import re
-
-# Get your Hugging Face token
-hf_token = getpass("Enter your Hugging Face token: ")
-api = HfApi(token=hf_token)
-
-# Get your Space name (username/space-name)
-space_name = input("Enter your Hugging Face Space name (username/space-name): ")
-
-# Extract the Gradio code from your notebook
-# This assumes your Gradio app is defined in a cell or cells in your notebook
-from IPython import get_ipython
-
-# Get all cells from the notebook
-cells = get_ipython().user_ns.get('In', [])
-
-# Extract cells that contain Gradio code
-gradio_code = []
-in_gradio_block = False
-for cell in cells:
-    # Look for cells that import gradio or define the interface
-    if 'import gradio' in cell or 'gr.Interface' in cell or in_gradio_block:
-        in_gradio_block = True
-        gradio_code.append(cell)
-    # If we find a cell that seems to end the Gradio app definition
-    elif in_gradio_block and ('if __name__' in cell or 'demo.launch()' in cell):
-        gradio_code.append(cell)
-        in_gradio_block = False
-
-# Combine the code and ensure it has a launch method
-combined_code = "\n\n".join(gradio_code)
-
-# Make sure the app launches when run
-if 'if __name__ == "__main__"' not in combined_code:
-    combined_code += '\n\nif __name__ == "__main__":\n    demo.launch()'
-
-# Save to app.py
-with open("app.py", "w") as f:
-    f.write(combined_code)
-
-print("Extracted Gradio code and saved to app.py")
-
-# Clone the existing Space repository
-repo = Repository(
-    local_dir="space_repo",
-    clone_from=f"https://huggingface.co/spaces/{space_name}",
-    token=hf_token,
-    git_user="marwashahid",
-    git_email="[email protected]"
-)
-
-# Copy app.py to the repository
-import shutil
-shutil.copy("app.py", "space_repo/app.py")
-
-# Add requirements if needed
-requirements = """
-gradio>=3.50.2
-"""
-with open("space_repo/requirements.txt", "w") as f:
-    f.write(requirements)
-
-# Commit and push changes
-repo.git_add()
-repo.git_commit("Update from Kaggle notebook")
-repo.git_push()
-
-print(f"Successfully deployed to https://huggingface.co/spaces/{space_name}")
-
 from peft import PeftModel
 
 import os