Remove INSTALL.md and test_requirements.py; clean up requirements.txt by removing torch

INSTALL.md

@@ -1,41 +0,0 @@
-# Installation (Windows)
-
-Install the Python requirements and pick the correct `torch` wheel for your system.
-
-1) Upgrade pip and install pinned packages (non-torch):
-
-```bash
-python -m pip install --upgrade pip
-pip install -r requirements.txt
-```
-
-1) Install `torch` separately so you can pick the wheel that matches your CUDA/CPU setup.
-
-- CPU-only (Windows):
-
-```bash
-pip install "torch==2.2.2+cpu" --index-url https://download.pytorch.org/whl/cpu
-```
-
-- CUDA (example for CUDA 12.1; pick the matching CUDA version for your system):
-
-```bash
-pip install "torch==2.2.2+cu121" --index-url https://download.pytorch.org/whl/cu121
-```
-
-If you are unsure which CUDA version you have, run `nvidia-smi` in a command
-prompt (if you have an NVIDIA GPU). If you want, tell me your CUDA version and
-I can add the exact install line.
-
-1) Optional: verify the environment with the smoke test:
-
-```bash
-python test_requirements.py
-```
-
-Notes:
-
-- The `requirements.txt` contains pinned versions for non-torch packages and
-  leaves `torch` unpinned so you can choose the correct wheel for your system.
-- If you want me to pin exact `torch` builds for a specific CUDA version, tell
-  me the CUDA version (e.g., `cu121`, `cu118`, or `cpu`).

app.py

@@ -53,13 +53,6 @@ def meralion_inference(prompt, uploaded_file):
         # Process inputs
         inputs = processor(text=chat_prompt, audios=audio_array)
 
-        # Move to device and fix dtype
-        for key, value in inputs.items():
-            if isinstance(value, torch.Tensor):
-                inputs[key] = value.to(device)
-                if value.dtype == torch.float32:
-                    inputs[key] = inputs[key].to(torch.bfloat16)
-
         # Generate
         with torch.no_grad():
             outputs = model.generate(

requirements.txt

@@ -5,5 +5,4 @@ librosa==0.10.0
 safetensors==0.4.5
 accelerate==0.34.1
 soundfile==0.12.1
-torch
 flash-attn

test_requirements.py

@@ -1,36 +0,0 @@
-import importlib
-import sys
-
-packages = [
-    ('gradio', 'gradio'),
-    ('torch', 'torch'),
-    ('librosa', 'librosa'),
-    ('transformers', 'transformers'),
-    ('safetensors', 'safetensors'),
-    ('accelerate', 'accelerate'),
-    ('soundfile', 'soundfile'),
-]
-
-success = True
-for name, mod in packages:
-    try:
-        m = importlib.import_module(mod)
-        v = getattr(m, '__version__', 'unknown')
-        print(f'{name}: OK (version={v})')
-    except Exception as e:
-        success = False
-        print(f'{name}: FAIL -> {e}')
-
-# Extra torch checks
-try:
-    import torch
-    print('torch.cuda.is_available():', torch.cuda.is_available())
-    print('torch.__version__:', getattr(torch, '__version__', 'unknown'))
-except Exception:
-    pass
-
-if not success:
-    print('\nSome imports failed. Re-run the install commands in INSTALL.md or ask for help.')
-    sys.exit(1)
-
-print('\nAll imports succeeded (where present).')