cleanup
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@@ -45,9 +45,10 @@ This uses the `local_daily()` function in `bot.py`, which creates a `DailyTransp
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### Step 3: Deploy to Pipecat Cloud
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This repo already includes a Dockerfile you can use to build an image that works with Pipecat Cloud. You can do it in two steps:
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This repo already includes a Dockerfile you can use to build an image that works with Pipecat Cloud. You can do it in a few steps. First, edit `build.sh` and `pcc-deploy.toml` and replace `your-dockerhub-username` with, well, your DockerHub username. Then:
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```bash
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#
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./build.sh
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pcc deploy
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@@ -2,7 +2,7 @@
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set -e
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VERSION="0.1"
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DOCKER_USERNAME="chadbailey59"
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DOCKER_USERNAME="your-dockerhub-username"
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AGENT_NAME="multi-transport-chatbot"
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# Build the Docker image with the correct context
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@@ -1,5 +1,5 @@
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agent_name = "multi-transport-chatbot"
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image = "chadbailey59/multi-transport-chatbot:0.1"
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image = "your-dockerhub-username/multi-transport-chatbot:0.1"
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secret_set = "pcc-transport-chatbot-secrets"
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[scaling]
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@@ -1,5 +1,5 @@
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python-dotenv
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fastapi[all]
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uvicorn
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pipecat-ai[daily,cartesia,openai,silero,gladia,webrtc]
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pipecat-ai[cartesia,daily,gladia,openai,silero,webrtc]
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pipecatcloud
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