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# Chat_Workflows.py
# Description: UI for Chat Workflows
#
# Imports
import json
import logging
from pathlib import Path
#
# External Imports
import gradio as gr
#
from App_Function_Libraries.Gradio_UI.Chat_ui import process_with_llm
#
############################################################################################################
#
# Functions:
# Load workflows from a JSON file
json_path = Path('./Helper_Scripts/Workflows/Workflows.json')
with json_path.open('r') as f:
workflows = json.load(f)
# FIXME - broken Completely. Doesn't work.
def chat_workflows_tab():
with gr.TabItem("Chat Workflows"):
gr.Markdown("# Workflows using LLMs")
with gr.Row():
workflow_selector = gr.Dropdown(label="Select Workflow", choices=[wf['name'] for wf in workflows])
api_selector = gr.Dropdown(
label="Select API Endpoint",
choices=["OpenAI", "Anthropic", "Cohere", "Groq", "DeepSeek", "Mistral", "OpenRouter",
"Llama.cpp", "Kobold", "Ooba", "Tabbyapi", "VLLM", "ollama", "HuggingFace"],
value="OpenAI"
)
api_key_input = gr.Textbox(label="API Key (optional)", type="password")
context_input = gr.Textbox(label="Initial Context (optional)", lines=5)
# Create a container for dynamic components
with gr.Column() as dynamic_components:
prompt_displays = []
user_inputs = []
output_boxes = []
process_buttons = []
regenerate_buttons = []
# Create the maximum number of components needed
max_steps = max(len(wf['prompts']) for wf in workflows)
for i in range(max_steps):
prompt_displays.append(gr.Markdown(visible=False))
user_inputs.append(gr.Textbox(label=f"Your Input", lines=2, visible=False))
output_boxes.append(gr.Textbox(label=f"AI Output", lines=5, visible=False))
with gr.Row():
process_buttons.append(gr.Button(f"Process Step {i + 1}", visible=False))
regenerate_buttons.append(gr.Button(f"🔄 Regenerate", visible=False))
def update_workflow_ui(workflow_name):
selected_workflow = next(wf for wf in workflows if wf['name'] == workflow_name)
num_prompts = len(selected_workflow['prompts'])
prompt_updates = []
input_updates = []
output_updates = []
button_updates = []
regenerate_updates = []
for i in range(max_steps):
if i < num_prompts:
prompt_updates.append(
gr.update(value=f"**Step {i + 1}:** {selected_workflow['prompts'][i]}", visible=True))
input_updates.append(gr.update(value="", visible=True, interactive=(i == 0)))
output_updates.append(gr.update(value="", visible=True))
button_updates.append(gr.update(visible=(i == 0)))
regenerate_updates.append(gr.update(visible=False))
else:
prompt_updates.append(gr.update(visible=False))
input_updates.append(gr.update(visible=False))
output_updates.append(gr.update(visible=False))
button_updates.append(gr.update(visible=False))
regenerate_updates.append(gr.update(visible=False))
return prompt_updates + input_updates + output_updates + button_updates + regenerate_updates
def process(context, workflow_name, api_endpoint, api_key, step, *user_inputs):
try:
selected_workflow = next(wf for wf in workflows if wf['name'] == workflow_name)
except StopIteration:
# Handle the case where no matching workflow is found
error_message = f"No workflow found with name: {workflow_name}"
logging.error(error_message)
return [gr.update(value=error_message)] * (
len(prompt_displays) + len(user_inputs) + len(output_boxes) + len(process_buttons) + len(
regenerate_buttons))
# Ensure we don't go out of bounds
if step >= len(selected_workflow['prompts']):
error_message = f"Step {step} is out of range for workflow: {workflow_name}"
logging.error(error_message)
return [gr.update(value=error_message)] * (
len(prompt_displays) + len(user_inputs) + len(output_boxes) + len(process_buttons) + len(
regenerate_buttons))
# Build up the context from previous steps
full_context = context + "\n\n"
for i in range(step + 1):
full_context += f"Question: {selected_workflow['prompts'][i]}\n"
full_context += f"Answer: {user_inputs[i]}\n"
if i < step:
full_context += f"AI Output: {output_boxes[i].value}\n\n"
try:
result = process_with_llm(workflow_name, full_context, selected_workflow['prompts'][step], api_endpoint,
api_key)
except Exception as e:
error_message = f"Error processing with LLM: {str(e)}"
logging.error(error_message)
result = error_message
updates = []
for i in range(max_steps):
if i == step:
updates.extend([
gr.update(), # Markdown (prompt_displays)
gr.update(interactive=False), # Textbox (user_inputs)
gr.update(value=result), # Textbox (output_boxes)
gr.update(visible=False), # Button (process_buttons)
gr.update(visible=True) # Button (regenerate_buttons)
])
elif i == step + 1:
updates.extend([
gr.update(), # Markdown (prompt_displays)
gr.update(interactive=True), # Textbox (user_inputs)
gr.update(), # Textbox (output_boxes)
gr.update(visible=True), # Button (process_buttons)
gr.update(visible=False) # Button (regenerate_buttons)
])
elif i > step + 1:
updates.extend([
gr.update(), # Markdown (prompt_displays)
gr.update(interactive=False), # Textbox (user_inputs)
gr.update(), # Textbox (output_boxes)
gr.update(visible=False), # Button (process_buttons)
gr.update(visible=False) # Button (regenerate_buttons)
])
else:
updates.extend([
gr.update(), # Markdown (prompt_displays)
gr.update(interactive=False), # Textbox (user_inputs)
gr.update(), # Textbox (output_boxes)
gr.update(visible=False), # Button (process_buttons)
gr.update(visible=True) # Button (regenerate_buttons)
])
return updates
# Set up event handlers
workflow_selector.change(
update_workflow_ui,
inputs=[workflow_selector],
outputs=prompt_displays + user_inputs + output_boxes + process_buttons + regenerate_buttons
)
# Set up process button click events
for i, button in enumerate(process_buttons):
button.click(
fn=lambda context, wf_name, api_endpoint, api_key, *inputs, step=i: process(context, wf_name,
api_endpoint, api_key, step,
*inputs),
inputs=[context_input, workflow_selector, api_selector, api_key_input] + user_inputs,
outputs=prompt_displays + user_inputs + output_boxes + process_buttons + regenerate_buttons
).then(lambda: gr.update(value=""), outputs=[user_inputs[i]])
# Set up regenerate button click events
for i, button in enumerate(regenerate_buttons):
button.click(
fn=lambda context, wf_name, api_endpoint, api_key, *inputs, step=i: process(context, wf_name,
api_endpoint, api_key, step,
*inputs),
inputs=[context_input, workflow_selector, api_selector, api_key_input] + user_inputs,
outputs=prompt_displays + user_inputs + output_boxes + process_buttons + regenerate_buttons
)
return workflow_selector, api_selector, api_key_input, context_input, dynamic_components
#
# End of script
############################################################################################################
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