Hizeros/streamlit #695
Hizeros/streamlit #695
Conversation
WalkthroughThe recent changes enhance the chatbot functionality in two projects. In Changes
Sequence Diagram(s) (Beta)sequenceDiagram
participant User
participant StreamlitApp
participant Promptulate
participant LLM
User->>StreamlitApp: Enter API key, Model name
StreamlitApp->>Promptulate: Initialize with API key, Model name
User->>StreamlitApp: Input message
StreamlitApp->>Promptulate: Send message
Promptulate->>LLM: Query with message
LLM-->>Promptulate: Return response
Promptulate-->>StreamlitApp: Return response
StreamlitApp-->>User: Display response
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Actionable comments posted: 4
Review Details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (4)
- example/build-math-application-with-agent/chatbot.py (3 hunks)
- example/streamlit-chatbot/README.md (1 hunks)
- example/streamlit-chatbot/app.py (1 hunks)
- example/streamlit-chatbot/requirements.txt (1 hunks)
Files skipped from review due to trivial changes (1)
- example/streamlit-chatbot/requirements.txt
Additional Context Used
Markdownlint (2)
example/streamlit-chatbot/README.md (2)
5: null
Multiple top-level headings in the same document
29: null
Files should end with a single newline character
Additional comments not posted (6)
example/streamlit-chatbot/app.py (3)
3-3: Importingpromptulateaspneis a good practice for namespace management. Ensure thatpromptulateis used consistently throughout the code.
14-15: Ensure that sensitive information such as API keys are handled securely. Usingtype="password"is a good practice.
23-26: Initializing session state with a default message is a thoughtful touch. It enhances user interaction from the start.example/build-math-application-with-agent/chatbot.py (3)
81-83: Passing the API key in the model configuration is a secure way to handle sensitive information. Ensure that the API key is not logged or exposed in any debug outputs.
113-113: Including a link to the source code is a good practice for transparency and community engagement.
101-103: The use ofpne.LLMFactory.buildto configure the language model is consistent with best practices. Ensure that the API key is validated before use.Verification successful
The search results indicate that there is indeed a validation check for the API key in the
example/streamlit-chatbot/app.pyfile. This confirms that the API key is being validated before use.
- Location of API key validation:
example/streamlit-chatbot/app.py, line containingif not api_keyScripts Executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the API key is validated before use. # Test: Search for API key validation logic. rg --type python 'if not api_key'Length of output: 66
Script:
#!/bin/bash # Description: Verify that the API key is validated before use. # Test: Search for API key validation logic. rg 'if not api_key'Length of output: 74
| # Build a simple chatbot using streamlit and pne | ||
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| The `app.py` is an example of building a simple chatbot using streamlit and promptulate. | ||
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| # Quick Start | ||
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| 1. Clone the repository and install the dependencies | ||
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| ```shell | ||
| git clone https://www.github.com/Undertone0809/promptulate | ||
| ``` | ||
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| 2. Switch the current directory to the example | ||
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| ```shell | ||
| cd ./example/streamlit-chatbot | ||
| ``` | ||
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| 3. Install the dependencies | ||
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| ```shell | ||
| pip install -r requirements.txt | ||
| ``` | ||
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| 4. Run the application | ||
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| ```shell | ||
| streamlit run app.py | ||
| ``` |
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The README provides a clear and concise setup guide for the Streamlit chatbot. However, consider adding a newline at the end of the file for better compatibility with UNIX tools.
+ \nCommittable suggestion was skipped due low confidence.
| if not api_key: | ||
| st.info("Please add your API key to continue.") | ||
| st.stop() |
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The API key check is crucial for security. However, consider using st.error instead of st.info for critical warnings.
- st.info("Please add your API key to continue.")
+ st.error("API key is required to continue.")Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.
| if not api_key: | |
| st.info("Please add your API key to continue.") | |
| st.stop() | |
| if not api_key: | |
| st.error("API key is required to continue.") | |
| st.stop() |
| model_name: str = st.text_input( | ||
| label="LLM Model Name", | ||
| help="1.gpt-4-1106-preview " | ||
| "2.deepseek/deepseek-chat " | ||
| "For more details, please click (" | ||
| "https://www.promptulate.cn/#/use_cases/chat_usage?id=chat)", | ||
| ) |
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The model selection interface is user-friendly. Consider adding a default value for better user experience.
- model_name: str = st.text_input(
+ model_name: str = st.text_input(default="gpt-4-1106-preview",Committable suggestion was skipped due low confidence.
| response: str = pne.chat( | ||
| model=model_name, | ||
| stream=True, | ||
| messages=prompt, | ||
| model_config={"api_base": api_base, "api_key": api_key}, | ||
| ) |
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Tip
Codebase Verification
The API base URL is not validated in the example/streamlit-chatbot/app.py file. Please ensure that the API base URL is validated to prevent misconfiguration issues.
example/streamlit-chatbot/app.py: No validation logic found forapi_base.
Analysis chain
Ensure that the API base URL is validated to prevent misconfiguration issues.
Scripts Executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify that the API base URL is a valid URL.
# Test: Check if the API base URL is a valid URL format.
echo "https://api.openai.com/v1" | grep -P '^(https?:\/\/)?([\da-z\.-]+)\.([a-z\.]{2,6})([\/\w \.-]*)*\/?$'
Length of output: 133
Script:
#!/bin/bash
# Description: Check if the API base URL is validated in the code.
# Search for URL validation logic in the example/streamlit-chatbot/app.py file.
rg 'api_base' example/streamlit-chatbot/app.py
Length of output: 171
Script:
#!/bin/bash
# Description: Check for validation logic related to `api_base` in the example/streamlit-chatbot/app.py file.
# Search for validation logic in the example/streamlit-chatbot/app.py file.
rg 'validate|check|verify|assert' example/streamlit-chatbot/app.py
Length of output: 68
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great. But I hope that you can add a related document to the use cases, showing how to use streamlit, and the corresponding runtime performance diagram. |
feat:Add streamlit+pne.chat to build use case of simple chatbot
fix:Fixed the problem that api_key was not passed in