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Update llamacpp_python/base/chat-app.py
Browse files- llamacpp_python/base/chat-app.py +38 -38
llamacpp_python/base/chat-app.py
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#2. **Set the `MODEL_ENDPOINT` Environment Variable**
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#In your chat application, ensure the `MODEL_ENDPOINT` environment variable is set to the correct URL of the model server. For example:
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#```python
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import os
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import requests
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# Get the model endpoint from the environment variable
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model_service = os.getenv("MODEL_ENDPOINT", "http://
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# Example function to call the model server
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def call_model(prompt):
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url = f"{model_service}/generate"
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payload = {"prompt": prompt}
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response = requests.post(url, json=payload)
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if response.status_code == 200:
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return response.json().get("response", "No response from model")
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else:
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return f"Error: {response.status_code}"
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# Test the connection
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if __name__ == "__main__":
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prompt = "Hello, model!"
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result = call_model(prompt)
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print(result)
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#### 3. **Test the Connection**
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#Run the chat application and test the connection to the model server:
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#```bash
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# Set the MODEL_ENDPOINT environment variable
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#export MODEL_ENDPOINT="http://localhost:8001"
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# Run the chat application
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#python chat_app.py
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#```
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#If everything is set up correctly, the chat application should be able to call #the model server and receive a response.
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#2. **Set the `MODEL_ENDPOINT` Environment Variable**
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#In your chat application, ensure the `MODEL_ENDPOINT` environment variable is set to the correct URL of the model server. For example:
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#```python
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import os
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import requests
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# Get the model endpoint from the environment variable
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model_service = os.getenv("MODEL_ENDPOINT", "http://127.0.0.1:8001")
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# Example function to call the model server
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def call_model(prompt):
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url = f"{model_service}/generate"
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payload = {"prompt": prompt}
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response = requests.post(url, json=payload)
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if response.status_code == 200:
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return response.json().get("response", "No response from model")
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else:
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return f"Error: {response.status_code}"
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# Test the connection
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if __name__ == "__main__":
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prompt = "Hello, model!"
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result = call_model(prompt)
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print(result)
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#### 3. **Test the Connection**
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#Run the chat application and test the connection to the model server:
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#```bash
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# Set the MODEL_ENDPOINT environment variable
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#export MODEL_ENDPOINT="http://localhost:8001"
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# Run the chat application
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#python chat_app.py
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#```
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#If everything is set up correctly, the chat application should be able to call #the model server and receive a response.
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