Added Float type to the function parameter values (#77)

demos/network_copilot/Bolt-FC-1B-Q3_K_L.model_file

@@ -1,25 +0,0 @@
-FROM Bolt-Function-Calling-1B-Q3_K_L.gguf
-
-# Set the size of the context window used to generate the next token
-# PARAMETER num_ctx 16384
-PARAMETER num_ctx 4096
-
-# Set parameters for response generation
-PARAMETER num_predict 1024
-PARAMETER temperature 0.1
-PARAMETER top_p 0.5
-PARAMETER top_k 32022
-PARAMETER repeat_penalty 1.0
-PARAMETER stop "<|EOT|>"
-
-# Set the random number seed to use for generation
-PARAMETER seed 42
-
-# Set the prompt template to be passed into the model
-TEMPLATE """{{ if .System }}<｜begin▁of▁sentence｜>
-{{ .System }}
-{{ end }}{{ if .Prompt }}### Instruction:
-{{ .Prompt }}
-{{ end }}### Response:
-{{ .Response }}
-<|EOT|>"""

demos/network_copilot/README.md

@@ -2,10 +2,6 @@
 This demo shows how you can use intelligent prompt gateway as a network copilot that could give information about correlation between packet loss with device reboots, downs, or maintainence. This demo assumes you are using ollama running natively. If you want to run ollama running inside docker then please update ollama endpoint in docker-compose file.
 
 # Starting the demo
-1. Ensure that submodule is up to date
-   ```sh
-   git submodule sync --recursive
-   ```
 1. Create `.env` file and set OpenAI key using env var `OPENAI_API_KEY`
 1. Start services
    ```sh