Sweep/convert this to fastpi python frontend

ajitesh123 commented 4 months ago

PR Type

Enhancement, Documentation

Description

Added a FastAPI interface to invoke the language model.
Created a frontend HTML form to interact with the FastAPI backend.
Updated requirements.txt to include FastAPI, Uvicorn, and Pydantic.

Changes walkthrough 📝

Relevant files

Enhancement

main.py `Add FastAPI interface for invoking language model` myenv2/lib/python3.11/site-packages/perf_review_ai/main.py Added FastAPI application setup. Defined `InputText` Pydantic model. Created `/invoke` endpoint to process input text. Implemented error handling with HTTPException.	+17/-0
index.html `Add frontend interface for Perf Review AI` myenv2/lib/python3.11/site-packages/perf_review_ai/static/index.html Added HTML form for text input. Implemented JavaScript to submit form data to FastAPI endpoint. Displayed response from the server.	+28/-0

Dependencies

requirements.txt

Update requirements with FastAPI dependencies

requirements.txt - Added FastAPI, Uvicorn, and Pydantic dependencies.

+3/-0

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Summary by CodeRabbit

New Features
- Introduced a FastAPI application with an endpoint /invoke for invoking a model with input text.
- Added a simple HTML form for text submission and server processing feedback.
Technical Improvements
- Updated dependencies to include fastapi, uvicorn, and pydantic in requirements.txt.

coderabbitai[bot] commented 4 months ago

Walkthrough

Recent updates introduce a FastAPI application with an invoke endpoint, handling input text and returning model responses. Additionally, the .gitignore file is updated, the requirements.txt reflects new dependencies, and a simple HTML form for input submission is included.

Changes

File Path	Change Summary
`.gitignore`	Added `myenv2`, `.*`, and excluded `!.gitignore`.
`.../perf_review_ai/main.py`	Introduced FastAPI app with `/invoke` endpoint and exception handling.
`.../perf_review_ai/static/index.html`	Added HTML form for text submission and dynamic response display.
`requirements.txt`	Added `fastapi`, `uvicorn`, and `pydantic` dependencies.

Sequence Diagram

FastAPI Application Request Flow

sequenceDiagram
    participant Client
    participant Browser
    participant Server
    participant Model

    Client->>Browser: Open index.html
    Browser->>Client: Load HTML form
    Client->>Browser: Submit text data
    Browser->>Server: POST /invoke with InputText
    Server->>Model: Process InputText
    Model-->>Server: Return Response
    Server-->>Browser: Return Response
    Browser-->>Client: Display Response

Poem

In code's embrace, the updates flow,
FastAPI's light begins to glow.
With inputs clear and outputs bright,
Models sing through day and night.
A rabbit hops in fields of byte,
To celebrate this digital flight. 🐇🚀

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PR Reviewer Guide 🔍

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Key issues to review

**Error Handling:** The current implementation captures all exceptions and returns a generic HTTP 500 error. It might be beneficial to handle different types of exceptions specifically to provide more informative responses to the client. **Input Validation:** While `InputText` model ensures `input_text` is a string, additional validation might be required depending on the expected format or content of the input to prevent processing of invalid or malicious data.

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PR Code Suggestions ✨

Category	Suggestion	Score
Possible issue	Add error handling for the fetch request to manage server and network errors ___ Add error handling for the fetch request to handle cases where the server returns an error or the network request fails. [myenv2/lib/python3.11/site-packages/perf_review_ai/static/index.html [16-24]](https://github.com/ajitesh123/Perf-Review-AI/pull/29/files#diff-57bf20512c11339d6322449e066688e9f4c69e40a767016d823253eabfb5cf4cR16-R24) ```diff -const response = await fetch('/invoke', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({input_text: inputText}), -}); -const result = await response.json(); -document.getElementById('response').innerText = result.response; +try { + const response = await fetch('/invoke', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({input_text: inputText}), + }); + if (!response.ok) { + throw new Error(`Server error: ${response.statusText}`); + } + const result = await response.json(); + document.getElementById('response').innerText = result.response; +} catch (error) { + document.getElementById('response').innerText = `Error: ${error.message}`; +} ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 8 Why: Adding error handling for the fetch request is crucial to manage server and network errors effectively, enhancing the robustness and user experience of the web application.	8
Best practice	Catch specific exceptions instead of a generic `Exception` for more precise error handling ___ Instead of catching a generic `Exception`, catch specific exceptions that `invoke_model` might raise to provide more precise error handling. [myenv2/lib/python3.11/site-packages/perf_review_ai/main.py [16-17]](https://github.com/ajitesh123/Perf-Review-AI/pull/29/files#diff-b378de6952751a1b7dc2bfcd56382a9571663dae01ee22be805edd7bd73452d7R16-R17) ```diff +except SomeSpecificException as e: + raise HTTPException(status_code=400, detail=str(e)) +except AnotherSpecificException as e: + raise HTTPException(status_code=404, detail=str(e)) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 7 Why: Catching specific exceptions can greatly improve error handling by providing more precise responses based on the type of error, which is very beneficial in a production environment.	7
Best practice	Add a try-except block around the import statement to catch import errors ___ To ensure that the `invoke_model` function is correctly imported, add a try-except block around the import statement. This will help in identifying import errors early. [myenv2/lib/python3.11/site-packages/perf_review_ai/main.py [4]](https://github.com/ajitesh123/Perf-Review-AI/pull/29/files#diff-b378de6952751a1b7dc2bfcd56382a9571663dae01ee22be805edd7bd73452d7R4-R4) ```diff -from .model_invoker import invoke_model +try: + from .model_invoker import invoke_model +except ImportError as e: + raise ImportError(f"Error importing invoke_model: {e}") ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 5 Why: Adding a try-except block around the import statement can help in identifying import errors early, which is a good practice, though not critical for functionality.	5
Enhancement	Add a `required` attribute to the textarea to prevent form submission with empty input ___ Add a `required` attribute to the textarea to ensure that the user does not submit an empty form. [myenv2/lib/python3.11/site-packages/perf_review_ai/static/index.html [8]](https://github.com/ajitesh123/Perf-Review-AI/pull/29/files#diff-57bf20512c11339d6322449e066688e9f4c69e40a767016d823253eabfb5cf4cR8-R8) ```diff - + ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 6 Why: Adding a `required` attribute to the textarea is a simple enhancement that improves form validation and user experience by preventing empty submissions.	6

ajitesh123 / auto-review-ai