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Update app.py
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app.py
CHANGED
@@ -1,74 +1,165 @@
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import
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import os
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import subprocess
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import
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import gradio as gr
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import os
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import subprocess
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import random
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import string
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from huggingface_hub import cached_download, hf_hub_url
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from transformers import pipeline
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# Define functions for each feature
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# 1. Chat Interface
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def chat_interface(input_text, history):
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"""Handles user input in the chat interface.
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Args:
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input_text: User's input text.
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history: Chat history.
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Returns:
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A tuple containing the updated chat history and the chatbot's response.
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"""
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# Load the appropriate language model from Hugging Face
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model_name = 'google/flan-t5-xl' # Choose a suitable model
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model_url = hf_hub_url(repo_id=model_name, revision='main', filename='config.json')
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model_path = cached_download(model_url)
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generator = pipeline('text-generation', model=model_path)
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# Generate chatbot response
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response = generator(input_text, max_length=50, num_return_sequences=1, do_sample=True)[0]['generated_text']
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# Update chat history
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history.append((input_text, response))
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return history, response
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# 2. Terminal
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def terminal_interface(command, history):
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"""Executes commands in the terminal.
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Args:
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command: User's command.
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history: Terminal command history.
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Returns:
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A tuple containing the updated command history and the terminal output.
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"""
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# Execute command
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try:
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process = subprocess.run(command.split(), capture_output=True, text=True)
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output = process.stdout
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except Exception as e:
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output = f'Error: {e}'
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# Update command history
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history.append((command, output))
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return history, output
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# 3. Code Editor
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def code_editor_interface(code):
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"""Provides code completion, formatting, and linting in the code editor.
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Args:
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code: User's code.
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Returns:
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Formatted and linted code.
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"""
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# Implement code completion, formatting, and linting using appropriate libraries
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# For example, you can use the 'black' library for code formatting
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# and 'pylint' for linting
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# ...
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return code
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# 4. Workspace
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def workspace_interface(project_name, history):
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"""Manages projects, files, and resources in the workspace.
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Args:
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project_name: Name of the new project.
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history: Workspace history.
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Returns:
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A tuple containing the updated workspace history and project creation status.
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"""
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# Create project directory
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try:
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os.makedirs(os.path.join('projects', project_name))
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status = f'Project \"{project_name}\" created successfully.'
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except FileExistsError:
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status = f'Project \"{project_name}\" already exists.'
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# Update workspace history
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history.append((project_name, status))
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return history, status
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# 5. AI-Infused Tools
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# Define custom AI-powered tools using Hugging Face models
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# Example: Text summarization tool
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def summarize_text(text):
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"""Summarizes a given text using a Hugging Face model.
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Args:
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text: Text to be summarized.
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Returns:
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Summarized text.
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"""
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summarizer = pipeline('summarization', model='facebook/bart-large-cnn')
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summary = summarizer(text, max_length=100, min_length=30)[0]['summary_text']
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return summary
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# 6. Hugging Face Integration
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# Define functions for accessing, training, and deploying models
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# Example: Load a pre-trained model
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def load_model(model_name):
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"""Loads a pre-trained model from Hugging Face.
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Args:
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model_name: Name of the model to be loaded.
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Returns:
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The loaded model.
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"""
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model_url = hf_hub_url(repo_id=model_name, revision='main')
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model = cached_download(model_url)
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return model
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# Create Gradio interface
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with gr.Blocks() as demo:
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# Chat interface
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chat_history = gr.State([]) # Initialize chat history
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chat_input = gr.Textbox(label="Chat with CodeCraft", lines=5)
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chat_output = gr.Textbox(label="CodeCraft Response", lines=5)
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chat_button = gr.Button(value="Send")
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chat_button.click(chat_interface, inputs=[chat_input, chat_history], outputs=[chat_history, chat_output])
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# Terminal interface
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terminal_history = gr.State([]) # Initialize terminal history
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terminal_input = gr.Textbox(label="Enter Command", lines=1)
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terminal_output = gr.Textbox(label="Terminal Output", lines=5)
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terminal_button = gr.Button(value="Run")
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terminal_button.click(terminal_interface, inputs=[terminal_input, terminal_history], outputs=[terminal_history, terminal_output])
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# Code editor interface
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code_editor = gr.Code(label="Code Editor", lines=10, language="python")
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code_editor.change(code_editor_interface, inputs=code_editor, outputs=code_editor)
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# Workspace interface
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workspace_history = gr.State([]) # Initialize workspace history
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workspace_input = gr.Textbox(label="Project Name", lines=1)
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workspace_output = gr.Textbox(label="Workspace Data", lines=5)
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workspace_button = gr.Button(value="Create Project")
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workspace_button.click(workspace_interface, inputs=[workspace_input, workspace_history], outputs=[workspace_history, workspace_output])
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# AI-Infused Tools
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text_input = gr.Textbox(label="Enter text to summarize")
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summary_output = gr.Textbox(label="Summarized Text")
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summarize_button = gr.Button(value="Summarize")
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summarize_button.click(summarize_text, inputs=text_input, outputs=summary_output)
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# Launch Gradio app
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demo.launch(share=True, server_name='0.0.0.0')
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