acecalisto3 commited on
Commit
abe5352
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1 Parent(s): fae4179

Update app.py

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Files changed (1) hide show
  1. app.py +14 -15
app.py CHANGED
@@ -37,22 +37,22 @@ from utils import (
37
  from datetime import datetime
38
  import json
39
 
40
- --- Global Variables for App State ---
41
  app_state = {"components": []} terminal_history = ""
42
 
43
- --- Component Library ---
44
  components_registry = { "Button": { "properties": {"label": "Click Me", "onclick": ""}, "description": "A clickable button", "code_snippet": 'gr.Button(value="{label}", variant="primary")', }, "Text Input": { "properties": {"value": "", "placeholder": "Enter text"}, "description": "A field for entering text", "code_snippet": 'gr.Textbox(label="{placeholder}")', }, "Image": { "properties": {"src": "#", "alt": "Image"}, "description": "Displays an image", "code_snippet": 'gr.Image(label="{alt}")', }, "Dropdown": { "properties": {"choices": ["Option 1", "Option 2"], "value": ""}, "description": "A dropdown menu for selecting options", "code_snippet": 'gr.Dropdown(choices={choices}, label="Dropdown")', }, # Add more components here... }
45
 
46
- --- NLP Model (Example using Hugging Face) ---
47
  nlp_model_name = "google/flan-t5-small"
48
 
49
- Check if the model exists in the cache
50
  try: cached_download(hf_hub_url(nlp_model_name, revision="main")) nlp_model = InferenceClient(nlp_model_name) except: nlp_model = None
51
 
52
- --- Function to get NLP model response ---
53
  def get_nlp_response(input_text): if nlp_model: response = nlp_model.text_generation(input_text) return response.generated_text else: return "NLP model not available."
54
 
55
- --- Component Class ---
56
  class Component: def init(self, type, properties=None, id=None): self.id = id or random.randint(1000, 9999) self.type = type self.properties = properties or components_registry[type]["properties"].copy()
57
 
58
  def to_dict(self):
@@ -74,13 +74,13 @@ def render(self):
74
  return components_registry[self.type]["code_snippet"].format(
75
  **self.properties
76
  )
77
- --- Function to update the app canvas (for preview) ---
78
  def update_app_canvas(): components_html = "".join( [ f"<div>Component ID: {component['id']}, Type: {component['type']}, Properties: {component['properties']}</div>" for component in app_state["components"] ] ) return components_html
79
 
80
- --- Function to handle component addition ---
81
  def add_component(component_type): if component_type in components_registry: new_component = Component(component_type) app_state["components"].append(new_component.to_dict()) return ( update_app_canvas(), f"System: Added component: {component_type}\n", ) else: return None, f"Error: Invalid component type: {component_type}\n"
82
 
83
- --- Function to handle terminal input ---
84
  def run_terminal_command(command, history): global terminal_history output = "" try: # Basic command parsing (expand with NLP) if command.startswith("add "): component_type = command.split("add ", 1)[1].strip() _, output = add_component(component_type) elif command.startswith("set "): _, output = set_component_property(command) elif command.startswith("search "): search_query = command.split("search ", 1)[1].strip() output = i_s(search_query) elif command.startswith("deploy "): app_name = command.split("deploy ", 1)[1].strip() output = deploy_to_huggingface(app_name) else: # Attempt to execute command as Python code try: result = subprocess.check_output( command, shell=True, stderr=subprocess.STDOUT, text=True ) output = result except Exception as e: output = f"Error executing Python code: {str(e)}" except Exception as e: output = f"Error: {str(e)}" finally: terminal_history += f"User: {command}\n" terminal_history += f"{output}\n" return terminal_history
85
 
86
  def set_component_property(command): try: # Improved 'set' command parsing set_parts = command.split(" ", 2)[1:] if len(set_parts) != 2: raise ValueError("Invalid 'set' command format.")
@@ -114,10 +114,10 @@ component_id = int(set_parts[0]) # Use component ID
114
 
115
  except Exception as e:
116
  return None, f"Error: Invalid 'set' command format or error setting property: {str(e)}\n"
117
- --- Function to handle chat interaction ---
118
  def run_chat(message, history): global terminal_history if message.startswith("!"): command = message[1:] terminal_history = run_terminal_command(command, history) return history, terminal_history else: # ... (Your regular chat response generation) return history, terminal_history
119
 
120
- --- Code Generation ---
121
  def generate_python_code(app_name): code = f""" import gradio as gr
122
 
123
  Define your Gradio components here
@@ -126,13 +126,12 @@ with gr.Blocks() as {app_name}: """ for component in app_state["components"]: co
126
  code += f"""
127
  {app_name}.launch() """ return code
128
 
129
- --- Save/Load App State ---
130
  def save_app_state(filename="app_state.json"): with open(filename, "w") as f: json.dump(app_state, f)
131
 
 
132
  def load_app_state(filename="app_state.json"): global app_state try: with open(filename, "r") as f: app_state = json.load(f) except FileNotFoundError: print("App state file not found. Starting with a blank slate.")
133
 
134
- --- Hugging Face Deployment --- def deploy_to_huggingface(app_name): # Generate Python code code = generate_python_code(app_name)
135
-
136
  # Create requirements.txt
137
  with open("requirements.txt", "w") as f:
138
  f.write("gradio==3.32.0\n")
@@ -163,7 +162,7 @@ try:
163
  ["git", "add", "."], cwd=f"./{app_name}", check=True
164
  )
165
  subprocess.run(
166
- ['git', 'commit', '-m', '"Initial commit"'], cwd=f"./{app_name}", check=True
167
  )
168
  subprocess.run(
169
  ["git", "push", "https://huggingface.co/spaces/" + app_name, "main"], cwd=f"./{app_name}", check=True
 
37
  from datetime import datetime
38
  import json
39
 
40
+ #--- Global Variables for App State ---
41
  app_state = {"components": []} terminal_history = ""
42
 
43
+ #--- Component Library ---
44
  components_registry = { "Button": { "properties": {"label": "Click Me", "onclick": ""}, "description": "A clickable button", "code_snippet": 'gr.Button(value="{label}", variant="primary")', }, "Text Input": { "properties": {"value": "", "placeholder": "Enter text"}, "description": "A field for entering text", "code_snippet": 'gr.Textbox(label="{placeholder}")', }, "Image": { "properties": {"src": "#", "alt": "Image"}, "description": "Displays an image", "code_snippet": 'gr.Image(label="{alt}")', }, "Dropdown": { "properties": {"choices": ["Option 1", "Option 2"], "value": ""}, "description": "A dropdown menu for selecting options", "code_snippet": 'gr.Dropdown(choices={choices}, label="Dropdown")', }, # Add more components here... }
45
 
46
+ #--- NLP Model (Example using Hugging Face) ---
47
  nlp_model_name = "google/flan-t5-small"
48
 
49
+ # Check if the model exists in the cache
50
  try: cached_download(hf_hub_url(nlp_model_name, revision="main")) nlp_model = InferenceClient(nlp_model_name) except: nlp_model = None
51
 
52
+ #--- Function to get NLP model response ---
53
  def get_nlp_response(input_text): if nlp_model: response = nlp_model.text_generation(input_text) return response.generated_text else: return "NLP model not available."
54
 
55
+ # --- Component Class ---
56
  class Component: def init(self, type, properties=None, id=None): self.id = id or random.randint(1000, 9999) self.type = type self.properties = properties or components_registry[type]["properties"].copy()
57
 
58
  def to_dict(self):
 
74
  return components_registry[self.type]["code_snippet"].format(
75
  **self.properties
76
  )
77
+ # --- Function to update the app canvas (for preview) ---
78
  def update_app_canvas(): components_html = "".join( [ f"<div>Component ID: {component['id']}, Type: {component['type']}, Properties: {component['properties']}</div>" for component in app_state["components"] ] ) return components_html
79
 
80
+ # --- Function to handle component addition ---
81
  def add_component(component_type): if component_type in components_registry: new_component = Component(component_type) app_state["components"].append(new_component.to_dict()) return ( update_app_canvas(), f"System: Added component: {component_type}\n", ) else: return None, f"Error: Invalid component type: {component_type}\n"
82
 
83
+ # --- Function to handle terminal input ---
84
  def run_terminal_command(command, history): global terminal_history output = "" try: # Basic command parsing (expand with NLP) if command.startswith("add "): component_type = command.split("add ", 1)[1].strip() _, output = add_component(component_type) elif command.startswith("set "): _, output = set_component_property(command) elif command.startswith("search "): search_query = command.split("search ", 1)[1].strip() output = i_s(search_query) elif command.startswith("deploy "): app_name = command.split("deploy ", 1)[1].strip() output = deploy_to_huggingface(app_name) else: # Attempt to execute command as Python code try: result = subprocess.check_output( command, shell=True, stderr=subprocess.STDOUT, text=True ) output = result except Exception as e: output = f"Error executing Python code: {str(e)}" except Exception as e: output = f"Error: {str(e)}" finally: terminal_history += f"User: {command}\n" terminal_history += f"{output}\n" return terminal_history
85
 
86
  def set_component_property(command): try: # Improved 'set' command parsing set_parts = command.split(" ", 2)[1:] if len(set_parts) != 2: raise ValueError("Invalid 'set' command format.")
 
114
 
115
  except Exception as e:
116
  return None, f"Error: Invalid 'set' command format or error setting property: {str(e)}\n"
117
+ #--- Function to handle chat interaction ---
118
  def run_chat(message, history): global terminal_history if message.startswith("!"): command = message[1:] terminal_history = run_terminal_command(command, history) return history, terminal_history else: # ... (Your regular chat response generation) return history, terminal_history
119
 
120
+ # --- Code Generation ---
121
  def generate_python_code(app_name): code = f""" import gradio as gr
122
 
123
  Define your Gradio components here
 
126
  code += f"""
127
  {app_name}.launch() """ return code
128
 
129
+ # --- Save/Load App State ---
130
  def save_app_state(filename="app_state.json"): with open(filename, "w") as f: json.dump(app_state, f)
131
 
132
+ # --- Hugging Face Deployment --- def deploy_to_huggingface(app_name): # Generate Python code code = generate_python_code(app_name)
133
  def load_app_state(filename="app_state.json"): global app_state try: with open(filename, "r") as f: app_state = json.load(f) except FileNotFoundError: print("App state file not found. Starting with a blank slate.")
134
 
 
 
135
  # Create requirements.txt
136
  with open("requirements.txt", "w") as f:
137
  f.write("gradio==3.32.0\n")
 
162
  ["git", "add", "."], cwd=f"./{app_name}", check=True
163
  )
164
  subprocess.run(
165
+ ['git', 'commit', '-m', '"Initial commit"'], cwd=f"./{user_name}/{app_name}", check=True
166
  )
167
  subprocess.run(
168
  ["git", "push", "https://huggingface.co/spaces/" + app_name, "main"], cwd=f"./{app_name}", check=True