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Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -101,7 +101,7 @@ def execute_pip_command(command, add_message):
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break
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if output:
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# Corrected line: Combine the f-string parts
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add_message("System", f"'"{output.strip()}"
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time.sleep(0.1) # Simulate delay for more realistic streaming
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rc = process.poll()
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return rc
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@@ -143,7 +143,7 @@ def generate_mini_app_ideas(theme):
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def generate_app_code(app_name, app_description, model_name, history):
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"""Generates code for the selected mini-app using the specified GGUF model."""
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prompt = f"'"Write a Python script for a {app_description} named {app_name} using Gradio and Streamlit:"
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agent = get_agent(model_name)
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generated_code = agent.chat(prompt, history)
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return generated_code
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@@ -158,11 +158,11 @@ def execute_terminal_command(command):
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def install_package(package_name):
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"""Installs a package using pip."""
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output, error = execute_terminal_command(f"'"pip install {package_name}"
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if error:
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return f"'"Error installing package: {error}"
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else:
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return f"'"Package `{package_name}` installed successfully."
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def get_project_data():
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"""Returns the current project data."""
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@@ -181,7 +181,7 @@ def handle_chat(input_text, history):
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if input_text.startswith("pip install ") or input_text.startswith("https://pypi.org/project/"):
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package_name = extract_package_name(input_text)
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add_message("System", f"'"Installing `{package_name}`...")
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result = install_package(package_name)
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add_message("System", result)
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update_project_data("packages", CURRENT_PROJECT.get("packages", []) + [package_name])
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@@ -194,15 +194,18 @@ def handle_chat(input_text, history):
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elif not MINI_APPS:
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add_message("System", "Here are some ideas:")
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for idea in generate_mini_app_ideas(input_text):
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add_message("System", f"'"-
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add_message("System", "Which one would you like to build?")
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elif CURRENT_APP["name"] is None:
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selected_app = input_text
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app_description = next((app for app in MINI_APPS if selected_app in app), None)
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if app_description:
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add_message("System", f"'"Generating code for {app_description}..."
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code = generate_app_code(selected_app, app_description, "CodeQwen", history) # Use CodeQwen by default
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add_message("System", f"'"
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add_message("System", "Code generated! What else can I do for you?")
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update_project_data("code", code)
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@@ -219,7 +222,7 @@ add_message("System", "Code generated! What else can I do for you?")
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def generate_code_tool(input_text, history):
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"""Prebuilt tool for code generation."""
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code = generate_app_code("MyTool", "A tool to do something", "CodeQwen", history) # Use CodeQwen by default
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return f"'"python
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def analyze_code_tool(input_text, history):
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"""Prebuilt tool for code analysis."""
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@@ -241,7 +244,7 @@ chat_input = st.text_input("Tell me your idea...", key="chat_input")
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if chat_input:
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chat_history, dynamic_functions = handle_chat(chat_input, chat_history)
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for sender, message in chat_history:
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st.markdown(f"
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# --- Code Execution and Deployment ---
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if CURRENT_APP["code"]:
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@@ -269,13 +272,16 @@ if CURRENT_APP["code"]:
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if st.button("Edit Code"):
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try:
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# Use Hugging Face's text-generation pipeline for code editing
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prompt = f"'"Improve the following Python code: python {code_area}"
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inputs = tokenizer(prompt, return_tensors="pt")
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output = model.generate(**inputs, max_length=500, num_return_sequences=1)
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edited_code = tokenizer.decode(output[0], skip_special_tokens=True).split("
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st.success(f"'"Code edited successfully!\n{edited_code}"
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update_project_data("code", edited_code)
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code_area.value = edited_code
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except Exception as e:
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break
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if output:
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# Corrected line: Combine the f-string parts
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add_message("System", f"'"{output.strip()}")
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time.sleep(0.1) # Simulate delay for more realistic streaming
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rc = process.poll()
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return rc
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def generate_app_code(app_name, app_description, model_name, history):
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"""Generates code for the selected mini-app using the specified GGUF model."""
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prompt = f"'"Write a Python script for a {app_description} named {app_name} using Gradio and Streamlit:"
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agent = get_agent(model_name)
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generated_code = agent.chat(prompt, history)
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return generated_code
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def install_package(package_name):
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"""Installs a package using pip."""
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output, error = execute_terminal_command(f"'"pip install {package_name}")
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if error:
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return f"'"Error installing package: {error}"
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else:
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return f"'"Package `{package_name}` installed successfully."
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def get_project_data():
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"""Returns the current project data."""
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if input_text.startswith("pip install ") or input_text.startswith("https://pypi.org/project/"):
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package_name = extract_package_name(input_text)
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add_message("System", f"'"Installing `{package_name}`...")
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result = install_package(package_name)
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add_message("System", result)
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update_project_data("packages", CURRENT_PROJECT.get("packages", []) + [package_name])
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elif not MINI_APPS:
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add_message("System", "Here are some ideas:")
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for idea in generate_mini_app_ideas(input_text):
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add_message("System", f"'"-{idea}")
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add_message("System", "Which one would you like to build?")
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elif CURRENT_APP["name"] is None:
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selected_app = input_text
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app_description = next((app for app in MINI_APPS if selected_app in app), None)
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if app_description:
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add_message("System", f"'"Generating code for {app_description}...")
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code = generate_app_code(selected_app, app_description, "CodeQwen", history) # Use CodeQwen by default
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add_message("System", f"'"
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python\n{code}\n
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add_message("System", "Code generated! What else can I do for you?")
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update_project_data("code", code)
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def generate_code_tool(input_text, history):
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"""Prebuilt tool for code generation."""
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code = generate_app_code("MyTool", "A tool to do something", "CodeQwen", history) # Use CodeQwen by default
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return f"'" python {code}"
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def analyze_code_tool(input_text, history):
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"""Prebuilt tool for code analysis."""
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if chat_input:
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chat_history, dynamic_functions = handle_chat(chat_input, chat_history)
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for sender, message in chat_history:
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st.markdown(f"**{sender}:** {message}")
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# --- Code Execution and Deployment ---
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if CURRENT_APP["code"]:
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if st.button("Edit Code"):
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try:
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# Use Hugging Face's text-generation pipeline for code editing
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prompt = f"'"Improve the following Python code: python {code_area}"
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inputs = tokenizer(prompt, return_tensors="pt")
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output = model.generate(**inputs, max_length=500, num_return_sequences=1)
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edited_code = tokenizer.decode(output[0], skip_special_tokens=True).split("
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python\n")[1].split("\n
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st.success(f"'"Code edited successfully!\n{edited_code}")
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update_project_data("code", edited_code)
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code_area.value = edited_code
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except Exception as e:
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