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Update app.py
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app.py
CHANGED
@@ -1,61 +1,3 @@
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import gradio as gr
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import os
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import yaml
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# Function to update the NLU file with new intents
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def update_nlu_file(intent_name, training_examples, nlu_file_path="data/nlu.yml"):
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# Create the 'data' directory if it doesn't exist
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if not os.path.exists("data"):
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os.makedirs("data")
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# If the NLU file doesn't exist, create it with a default structure
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if os.path.exists(nlu_file_path):
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with open(nlu_file_path, "r") as file:
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nlu_data = yaml.safe_load(file)
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else:
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nlu_data = {"rasa_nlu_data": {"common_examples": []}}
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# Add the new intent and examples
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new_intent = {
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"intent": intent_name,
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"examples": training_examples.splitlines()
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}
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nlu_data["rasa_nlu_data"]["common_examples"].append(new_intent)
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# Write back the updated NLU file
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with open(nlu_file_path, "w") as file:
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yaml.dump(nlu_data, file)
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return f"NLU file updated with intent: {intent_name}"
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# Function to update the Story file with new stories
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def update_stories_file(story_name, steps, stories_file_path="data/stories.yml"):
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# Create the 'data' directory if it doesn't exist
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if not os.path.exists("data"):
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os.makedirs("data")
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# If the Stories file doesn't exist, create it with a default structure
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if os.path.exists(stories_file_path):
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with open(stories_file_path, "r") as file:
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stories_data = yaml.safe_load(file)
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else:
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stories_data = {"stories": []}
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# Add the new story
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new_story = {
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"story": story_name,
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"steps": [{"intent": step} for step in steps.splitlines()]
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}
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stories_data["stories"].append(new_story)
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# Write back the updated Stories file
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with open(stories_file_path, "w") as file:
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yaml.dump(stories_data, file)
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return f"Stories file updated with story: {story_name}"
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# Function to update the Domain file with new intents and responses
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def update_domain_file(intent_name, domain_file_path="domain.yml"):
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# Create the 'data' directory if it doesn't exist
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@@ -66,6 +8,9 @@ def update_domain_file(intent_name, domain_file_path="domain.yml"):
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if os.path.exists(domain_file_path):
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with open(domain_file_path, "r") as file:
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domain_data = yaml.safe_load(file)
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else:
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domain_data = {"intents": [], "responses": {}}
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@@ -84,32 +29,3 @@ def update_domain_file(intent_name, domain_file_path="domain.yml"):
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yaml.dump(domain_data, file)
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return f"Domain file updated with intent: {intent_name}"
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# Gradio interface function
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def rasa_creator(intent_name, training_examples, story_name, steps, add_button):
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if add_button:
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nlu_response = update_nlu_file(intent_name, training_examples)
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stories_response = update_stories_file(story_name, steps)
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domain_response = update_domain_file(intent_name)
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return nlu_response, stories_response, domain_response
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return "Press Add to update files."
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# Gradio interface
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iface = gr.Interface(
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fn=rasa_creator,
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inputs=[
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gr.Textbox(label="Intent Name"),
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gr.Textbox(label="Training Examples", placeholder="Add your training examples here", lines=4),
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gr.Textbox(label="Story Name"),
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gr.Textbox(label="Story Steps", placeholder="Add your story steps here", lines=4),
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gr.Button("Add") # Button to trigger the file update
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],
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outputs=[
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gr.Textbox(label="NLU Update Status"),
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gr.Textbox(label="Stories Update Status"),
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gr.Textbox(label="Domain Update Status")
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],
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live=False, # Disable live mode to prevent auto-updating
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)
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iface.launch()
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# Function to update the Domain file with new intents and responses
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def update_domain_file(intent_name, domain_file_path="domain.yml"):
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# Create the 'data' directory if it doesn't exist
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if os.path.exists(domain_file_path):
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with open(domain_file_path, "r") as file:
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domain_data = yaml.safe_load(file)
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# If domain_data is None, initialize it with a default structure
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if domain_data is None:
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domain_data = {"intents": [], "responses": {}}
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else:
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domain_data = {"intents": [], "responses": {}}
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yaml.dump(domain_data, file)
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return f"Domain file updated with intent: {intent_name}"
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