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Commit 03fa1716 authored by abir.chebbi's avatar abir.chebbi
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update readme PART 2

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......@@ -61,3 +61,25 @@ The main.py script will:
## Part 2:
### Set up environment
Install required python libraries listed in the 'requirements.txt':
`pip3 install -r requirements.txt`
### Step 1: Create VM
## Step 2: Running the app
Launch the Streamlit application which interacts with the Vector Store , LLM for embeddings and LLM for text generation:
`streamlit run main.py -- --endpoint [YourVectorDBEndpoint] --index_name [YourIndexName]`
Where:
- **--endpoint**: Endpoint for the vector database.
- **--index_name**: The index_name where to store the embeddings in the collection.
## Step 3: Accessing the app:
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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