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Commit a1a00bc9 authored by abir.chebbi's avatar abir.chebbi
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# chatbot-lab # chatbot lab
## Set up environment: ## Set up environment:
1. AWS CLI: Ensure AWS CLI is installed and configured on your laptop(refer to the setup guide provided in Session 1). 1. AWS CLI: Ensure AWS CLI is installed and configured on your laptop(refer to the setup guide provided in Session 1).
2. Ensure python is installed: python 3.8 or higher. 2. Ensure python is installed: python 3.8 or higher.
3. Install required python libraries listed in the 'requirements.txt': 3. Install required python libraries listed in the 'requirements.txt':
`pip3 install -r requirements.txt` `pip3 install -r requirements.txt`
...@@ -35,7 +36,7 @@ This script performs the following actions: ...@@ -35,7 +36,7 @@ This script performs the following actions:
* Creates a vector store with the name collection entered as argument. * Creates a vector store with the name collection entered as argument.
* After the vector store is set up, the script retrieves and displays the store's endpoint. * After the vector store is set up, the script retrieves and displays the store's endpoint.
### Step 3: Vectorizing the PDF Files ### Step 3: Vectorizing the PDF Files:
After setting up the S3 bucket and Vector DB, we could process PDF files to generate and store embeddings in the vector database. After setting up the S3 bucket and Vector DB, we could process PDF files to generate and store embeddings in the vector database.
...@@ -121,6 +122,6 @@ Where: ...@@ -121,6 +122,6 @@ Where:
- **[KeyPairName]**: The name of the key_pair created earlier. - **[KeyPairName]**: The name of the key_pair created earlier.
- **[SecurityGroupID]**: The id of the security group created earlier. - **[SecurityGroupID]**: The id of the security group created earlier.
## Step 3: Accessing the app: ## Step 3: Accessing the application
Once the app starts, navigate to this URL `http://[public_ip_adress_of_yourVM]:8501` in your web browser to start interacting with your chatbot Once the app starts, navigate to this URL `http://[public_ip_adress_of_yourVM]:8501` in your web browser to start interacting with your chatbot
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