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Updated instructions for new .env settings
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2 changed files with 5 additions and 5 deletions
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@ -14,9 +14,11 @@ pip install -r requirements.txt
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Copy sample.env to .env and point your endpoint URLs for a working llama.cpp and whisper.cpp running in server/api mode.
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Copy sample.env to .env and point your endpoint URLs for a working llama.cpp and whisper.cpp running in server/api mode.
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## llama.cpp and whisper.cpp
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## llama.cpp/ollama and whisper.cpp
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These need to be running in server mode somewhere on your local machine or on your network. Make sure the PROMPT_FORMAT in your .env file matches exactly to what the LLM model expects.
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These need to be running in server mode somewhere on your local machine or on your network. Add the endpoints to your .env
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The default values are correct if you run whisper.cpp and ollama server or llama.cpp server on your local machine.
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## Running
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## Running
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@ -1,9 +1,7 @@
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WHISPERCPP_URL="http://localhost:8088/inference"
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WHISPERCPP_URL="http://localhost:8088/inference"
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LLAMACPP_URL="http://localhost:8080/completion"
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LLAMACPP_URL="http://localhost:8080/v1"
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SYSTEM_MESSAGE="You are a friendly chatbot that summarizes call transcripts"
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SYSTEM_MESSAGE="You are a friendly chatbot that summarizes call transcripts"
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SUMMARY_PROMPT="Call Transcript: {chunk}\n\nInstruction: Summarize the above call transcript but DO NOT MENTION THE TRANSCRIPT"
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SUMMARY_PROMPT="Call Transcript: {chunk}\n\nInstruction: Summarize the above call transcript but DO NOT MENTION THE TRANSCRIPT"
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SENTIMENT_PROMPT="Call Transcript: {chunk}\n\nInstruction: Summarize the sentiment for topics in the above call transcript but DO NOT MENTION THE TRANSCRIPT"
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SENTIMENT_PROMPT="Call Transcript: {chunk}\n\nInstruction: Summarize the sentiment for topics in the above call transcript but DO NOT MENTION THE TRANSCRIPT"
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PROMPT_FORMAT="<|im_start|>system\n{system}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n"
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STOP_TOKEN="<|im_end|>"
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CHUNK_SIZE=12288
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CHUNK_SIZE=12288
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TEMPERATURE=0.1
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TEMPERATURE=0.1
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