Commit
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1aca019
1
Parent(s):
31622fc
commit
Browse files
app.py
CHANGED
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@@ -44,7 +44,7 @@ Requirements:
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Output format: Return the complete prompt with frontmatter and system prompt as plain text with no markdown formatting or code fences."""
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def reformat_prompt(api_key: str, rough_draft: str, prompt_type: str = "standard") -> str:
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"""
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Reformat a rough draft into a polished system prompt using OpenAI API.
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@@ -52,22 +52,26 @@ def reformat_prompt(api_key: str, rough_draft: str, prompt_type: str = "standard
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api_key: OpenAI API key
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rough_draft: The rough draft text to be reformatted
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prompt_type: Type of prompt to generate ("standard" or "claude_code")
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Returns:
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"""
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if not rough_draft.strip():
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return "Error: Please provide a rough draft to reformat."
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# Select the appropriate system prompt based on type
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selected_system_prompt = CLAUDE_CODE_SYSTEM_PROMPT if prompt_type == "claude_code" else SYSTEM_PROMPT
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try:
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# Initialize OpenAI client with the
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client = openai.OpenAI(api_key=
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# Make API call to reformat the prompt
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response = client.chat.completions.create(
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@@ -81,39 +85,20 @@ def reformat_prompt(api_key: str, rough_draft: str, prompt_type: str = "standard
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)
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reformatted_text = response.choices[0].message.content
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return reformatted_text
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except openai.AuthenticationError:
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return "Error: Invalid API key. Please check your OpenAI API key."
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except openai.RateLimitError:
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return "Error: Rate limit exceeded. Please try again later."
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except openai.APIError as e:
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return f"Error: OpenAI API error - {str(e)}"
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except Exception as e:
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return f"Error: {str(e)}"
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def create_interface():
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"""Create and configure the Gradio interface."""
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# JavaScript for localStorage API key persistence
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js_code = """
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function saveApiKey(api_key) {
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if (api_key && api_key.trim()) {
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localStorage.setItem('openai_api_key', api_key);
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}
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return api_key;
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}
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function loadApiKey() {
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return localStorage.getItem('openai_api_key') || '';
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}
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function clearApiKey() {
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localStorage.removeItem('openai_api_key');
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return '';
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}
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"""
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with gr.Blocks(
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title="Code Gen Agent Prompt Assistant",
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theme=gr.themes.Soft(),
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@@ -148,8 +133,7 @@ def create_interface():
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font-size: 0.9em;
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color: #2d5a2d;
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}
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"""
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js=js_code
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) as interface:
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gr.HTML("""
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@@ -163,23 +147,16 @@ def create_interface():
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with gr.TabItem("Prompt Reformatter"):
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with gr.Row():
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with gr.Column():
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api_key_input = gr.Textbox(
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label="OpenAI API Key",
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placeholder="sk-...",
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type="password",
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info="Your API key
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)
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with gr.Row():
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load_key_btn = gr.Button("Load Saved Key", variant="secondary", size="sm")
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clear_key_btn = gr.Button("Clear Saved Key", variant="secondary", size="sm")
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gr.HTML("""
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<div class="persistence-info">
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<strong>🔒 Privacy:</strong> Your API key is stored only in your browser's local storage and never sent to our servers.
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</div>
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""")
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prompt_type_radio = gr.Radio(
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choices=[
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("Standard Multi-Agent Prompt", "standard"),
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@@ -268,41 +245,14 @@ def create_interface():
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# Event handlers
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submit_btn.click(
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fn=reformat_prompt,
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inputs=[api_key_input, rough_draft_input, prompt_type_radio],
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outputs=output,
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show_progress=True
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).then(
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fn=None,
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inputs=[api_key_input],
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outputs=None,
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js="(api_key) => saveApiKey(api_key)"
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)
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load_key_btn.click(
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fn=None,
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inputs=None,
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outputs=[api_key_input],
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js="() => loadApiKey()"
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)
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clear_key_btn.click(
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fn=None,
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inputs=None,
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outputs=[api_key_input],
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js="() => clearApiKey()"
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)
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clear_btn.click(
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fn=lambda: ("", "standard", "", ""),
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outputs=[api_key_input, prompt_type_radio, rough_draft_input, output]
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)
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# Auto-load API key on interface load
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interface.load(
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fn=None,
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inputs=None,
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outputs=[api_key_input],
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js="() => loadApiKey()"
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)
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Output format: Return the complete prompt with frontmatter and system prompt as plain text with no markdown formatting or code fences."""
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+
def reformat_prompt(api_key: str, rough_draft: str, prompt_type: str = "standard", api_key_state: str = "") -> tuple[str, str]:
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"""
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Reformat a rough draft into a polished system prompt using OpenAI API.
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api_key: OpenAI API key
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rough_draft: The rough draft text to be reformatted
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prompt_type: Type of prompt to generate ("standard" or "claude_code")
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api_key_state: State variable for API key persistence
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Returns:
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Tuple of (reformatted system prompt or error message, updated api_key_state)
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"""
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# Use provided API key or fall back to state
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effective_api_key = api_key.strip() or api_key_state.strip()
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if not effective_api_key:
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return "Error: Please provide your OpenAI API key.", api_key_state
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if not rough_draft.strip():
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return "Error: Please provide a rough draft to reformat.", effective_api_key
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# Select the appropriate system prompt based on type
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selected_system_prompt = CLAUDE_CODE_SYSTEM_PROMPT if prompt_type == "claude_code" else SYSTEM_PROMPT
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try:
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# Initialize OpenAI client with the effective API key
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client = openai.OpenAI(api_key=effective_api_key)
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# Make API call to reformat the prompt
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response = client.chat.completions.create(
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)
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reformatted_text = response.choices[0].message.content
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return reformatted_text, effective_api_key
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except openai.AuthenticationError:
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return "Error: Invalid API key. Please check your OpenAI API key.", api_key_state
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except openai.RateLimitError:
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return "Error: Rate limit exceeded. Please try again later.", effective_api_key
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except openai.APIError as e:
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return f"Error: OpenAI API error - {str(e)}", effective_api_key
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except Exception as e:
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return f"Error: {str(e)}", effective_api_key
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def create_interface():
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"""Create and configure the Gradio interface."""
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with gr.Blocks(
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title="Code Gen Agent Prompt Assistant",
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theme=gr.themes.Soft(),
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font-size: 0.9em;
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color: #2d5a2d;
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}
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"""
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) as interface:
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gr.HTML("""
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with gr.TabItem("Prompt Reformatter"):
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with gr.Row():
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with gr.Column():
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# Create a state variable for API key persistence
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api_key_state = gr.State("")
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api_key_input = gr.Textbox(
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label="OpenAI API Key",
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placeholder="sk-...",
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type="password",
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info="Your API key will be remembered during this session"
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)
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prompt_type_radio = gr.Radio(
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choices=[
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("Standard Multi-Agent Prompt", "standard"),
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# Event handlers
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submit_btn.click(
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fn=reformat_prompt,
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inputs=[api_key_input, rough_draft_input, prompt_type_radio, api_key_state],
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outputs=[output, api_key_state],
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show_progress=True
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)
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clear_btn.click(
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fn=lambda: ("", "standard", "", "", ""),
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outputs=[api_key_input, prompt_type_radio, rough_draft_input, output, api_key_state]
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)
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