Content Comparison

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1. Activate PCA25:
   Ensure that PCA25 is activated in your environment.

2. Model Checkpoints:
   Confirm you have a trained model checkpoint saved in the nlu.utils.checkpoints folder.

3. Replace File:
   Replace the existing file located at:

   Code Block
   social-interaction-cloud/sic_framework/services/eis/eiscomponent.py

   with the updated eiscomponent.py file provided:

   View file
   name eiscomponent.py

   . To use Dialogflow with this file this variable should be changed to False on line 105.

   Code Block
   # If true then you use your intent and slot classifier including Whisper otherwise Dialogflow self.params.nlu = False

Steps to Run the Pipeline:

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1. Run Whisper:
   Start the Whisper component to handle speech-to-text conversion:

   Code Block
   run-whisper

   Note: The first time you use Whisper, the transcription may take some time due to downloading the model. Be patient during this process. If it still takes a long time after the first time read the top of the eiscomponent.py file.

2. Run NLU:
   Start the natural language understanding (NLU) module:

   Code Block
   run-nlu

3. Run Webserver:
   Launch the webserver for pipeline integration:

   Code Block
   run-webserver

4. Start Framework:
   Initialize the framework:

   Code Block
   start-framework

5. Run EIS:
   Start the External Interface Service (EIS):

   Code Block
   run-eis

6. Launch Localhost:
   Open your browser and navigate to the localhost start page.

7. Run MARBEL Agent in Eclipse:
   Start the MARBEL agent within Eclipse. Ensure the agent connects successfully to the pipeline.

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