[BUG]: Inconsistent model config, hardcoded API endpoints, and fragile logging/search handling

[ashi2004]

Bug Description

There are multiple issues in the current pipeline:

-> Different modules use different LLM models, causing inconsistent results
-> Frontend API calls are hardcoded instead of using environment variables
-> Logging has encoding issues (especially on Windows)
-> Fact-check search does not properly handle invalid or empty Google API responses

This makes the system harder to maintain, debug, and deploy across environments.

Steps to Reproduce

-> Run different analysis modules (bias, sentiment, fact-check, chat)
-> Notice inconsistent outputs due to different model usage
-> Run frontend without proper environment variables
-> Check logs on Windows system
-> Trigger a failed or empty Google search API response
-> Observe errors or crashes in fact-check flow

Logs and Screenshots

No response

Environment Details

No response

Impact

High - Major feature is broken

Code of Conduct

• I have joined the Discord server and will post updates there
• I have searched existing issues to avoid duplicates

[ashi2004]

Hey @M4dhav @Zahnentferner , whenever you get some time, could you please take a look at this?