remove flash
Browse files- app.py +6 -10
- requirements.txt +5 -5
app.py
CHANGED
@@ -13,14 +13,11 @@ model_path = "microsoft/Phi-4-multimodal-instruct"
|
|
13 |
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True)
|
14 |
model = AutoModelForCausalLM.from_pretrained(
|
15 |
model_path,
|
16 |
-
device_map="
|
17 |
torch_dtype="auto",
|
18 |
trust_remote_code=True,
|
19 |
-
|
20 |
-
)
|
21 |
-
|
22 |
-
# Load generation config
|
23 |
-
generation_config = GenerationConfig.from_pretrained(model_path)
|
24 |
|
25 |
# Define prompt structure
|
26 |
user_prompt = '<|user|>'
|
@@ -38,12 +35,12 @@ def process_input(input_type, file, question):
|
|
38 |
prompt = f'{user_prompt}<|image_1|>{question}{prompt_suffix}{assistant_prompt}'
|
39 |
# Open image from uploaded file
|
40 |
image = Image.open(file)
|
41 |
-
inputs = processor(text=prompt, images=image, return_tensors='pt').to(
|
42 |
elif input_type == "Audio":
|
43 |
prompt = f'{user_prompt}<|audio_1|>{question}{prompt_suffix}{assistant_prompt}'
|
44 |
# Read audio from uploaded file
|
45 |
audio, samplerate = sf.read(file)
|
46 |
-
inputs = processor(text=prompt, audios=[(audio, samplerate)], return_tensors='pt').to(
|
47 |
else:
|
48 |
return "Invalid input type selected."
|
49 |
|
@@ -51,8 +48,7 @@ def process_input(input_type, file, question):
|
|
51 |
with torch.no_grad():
|
52 |
generate_ids = model.generate(
|
53 |
**inputs,
|
54 |
-
max_new_tokens=
|
55 |
-
generation_config=generation_config,
|
56 |
num_logits_to_keep=0,
|
57 |
)
|
58 |
generate_ids = generate_ids[:, inputs['input_ids'].shape[1]:]
|
|
|
13 |
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True)
|
14 |
model = AutoModelForCausalLM.from_pretrained(
|
15 |
model_path,
|
16 |
+
device_map="auto",
|
17 |
torch_dtype="auto",
|
18 |
trust_remote_code=True,
|
19 |
+
_attn_implementation="eager",
|
20 |
+
)
|
|
|
|
|
|
|
21 |
|
22 |
# Define prompt structure
|
23 |
user_prompt = '<|user|>'
|
|
|
35 |
prompt = f'{user_prompt}<|image_1|>{question}{prompt_suffix}{assistant_prompt}'
|
36 |
# Open image from uploaded file
|
37 |
image = Image.open(file)
|
38 |
+
inputs = processor(text=prompt, images=image, return_tensors='pt').to(model.device)
|
39 |
elif input_type == "Audio":
|
40 |
prompt = f'{user_prompt}<|audio_1|>{question}{prompt_suffix}{assistant_prompt}'
|
41 |
# Read audio from uploaded file
|
42 |
audio, samplerate = sf.read(file)
|
43 |
+
inputs = processor(text=prompt, audios=[(audio, samplerate)], return_tensors='pt').to(model.device)
|
44 |
else:
|
45 |
return "Invalid input type selected."
|
46 |
|
|
|
48 |
with torch.no_grad():
|
49 |
generate_ids = model.generate(
|
50 |
**inputs,
|
51 |
+
max_new_tokens=200,
|
|
|
52 |
num_logits_to_keep=0,
|
53 |
)
|
54 |
generate_ids = generate_ids[:, inputs['input_ids'].shape[1]:]
|
requirements.txt
CHANGED
@@ -1,11 +1,11 @@
|
|
1 |
gradio
|
2 |
spaces
|
|
|
3 |
torch
|
4 |
-
peft
|
5 |
-
torchvision
|
6 |
-
scipy
|
7 |
-
soundfile
|
8 |
pillow
|
9 |
-
|
10 |
transformers
|
|
|
|
|
|
|
11 |
backoff
|
|
|
1 |
gradio
|
2 |
spaces
|
3 |
+
requests
|
4 |
torch
|
|
|
|
|
|
|
|
|
5 |
pillow
|
6 |
+
soundfile
|
7 |
transformers
|
8 |
+
torchvision
|
9 |
+
scipy
|
10 |
+
peft
|
11 |
backoff
|