fix: replace bare except with specific exception types in load_my_state_dict

[Mr-Neutr0n]

Summary

• Replace bare except: with except (RuntimeError, ValueError) as e: in PromptTTS.load_my_state_dict()
• Log the actual exception message when a parameter fails to load

Problem

The load_my_state_dict() method in models/prompt_tts_modified/model_open_source.py uses a bare except: clause that:

1. Catches all exceptions, including KeyboardInterrupt and SystemExit, making it impossible to interrupt the loading process with Ctrl+C
2. Silently swallows shape mismatches — if a tensor has the wrong shape (e.g., due to an architecture change), the weight is quietly skipped with only a generic "{name} is not loaded" message and no details about why it failed
3. The model then runs with randomly initialized weights for those layers, producing degraded outputs with no actionable warning

Fix

# Before
try:
    own_state[name].copy_(param)
except:
    print(f"{name} is not loaded")

# After
try:
    own_state[name].copy_(param)
except (RuntimeError, ValueError) as e:
    print(f"Warning: {name} is not loaded: {e}")

This change:

• Only catches RuntimeError (shape mismatches from copy_()) and ValueError (dtype issues), allowing KeyboardInterrupt, SystemExit, and other unexpected exceptions to propagate normally
• Includes the actual error message in the output so users can diagnose why a parameter was not loaded