Updated Gradio App
Browse files- app.py +11 -18
- requirements.txt +7 -0
app.py
CHANGED
|
@@ -15,33 +15,26 @@ def transcribe_and_respond(audio_file):
|
|
| 15 |
torch_dtype=torch.bfloat16
|
| 16 |
)
|
| 17 |
|
| 18 |
-
# Load the audio file
|
| 19 |
audio, sr = librosa.load(audio_file, sr=16000)
|
| 20 |
-
|
| 21 |
-
#
|
| 22 |
-
audio = np.ascontiguousarray(audio, dtype=np.float32)
|
| 23 |
-
|
| 24 |
-
# If audio has more than one channel, convert to mono by averaging the channels
|
| 25 |
-
if audio.ndim > 1:
|
| 26 |
-
audio = np.mean(audio, axis=-1)
|
| 27 |
-
|
| 28 |
-
# Debug: Print audio properties
|
| 29 |
print(f"Audio dtype: {audio.dtype}, Audio shape: {audio.shape}, Sample rate: {sr}")
|
| 30 |
-
|
| 31 |
turns = [
|
| 32 |
-
{'role': 'system', 'content': '
|
| 33 |
{'role': 'user', 'content': '<|audio|>'}
|
| 34 |
]
|
| 35 |
-
|
| 36 |
# Debug: Print the initial turns
|
| 37 |
print(f"Initial turns: {turns}")
|
| 38 |
-
|
| 39 |
# Call the model with the audio and prompt
|
| 40 |
output = pipe({'audio': audio, 'turns': turns, 'sampling_rate': sr}, max_new_tokens=512)
|
| 41 |
-
|
| 42 |
# Debug: Print the final output from the model
|
| 43 |
print(f"Model output: {output}")
|
| 44 |
-
|
| 45 |
return output
|
| 46 |
|
| 47 |
except Exception as e:
|
|
@@ -52,9 +45,9 @@ iface = gr.Interface(
|
|
| 52 |
inputs=gr.Audio(sources="microphone", type="filepath"),
|
| 53 |
outputs="text",
|
| 54 |
title="Live Transcription and Response",
|
| 55 |
-
description="Speak into your microphone, and the model will
|
| 56 |
live=True
|
| 57 |
)
|
| 58 |
|
| 59 |
if __name__ == "__main__":
|
| 60 |
-
iface.launch()
|
|
|
|
| 15 |
torch_dtype=torch.bfloat16
|
| 16 |
)
|
| 17 |
|
| 18 |
+
# Load the audio file
|
| 19 |
audio, sr = librosa.load(audio_file, sr=16000)
|
| 20 |
+
|
| 21 |
+
# Print audio properties for debugging
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
print(f"Audio dtype: {audio.dtype}, Audio shape: {audio.shape}, Sample rate: {sr}")
|
| 23 |
+
|
| 24 |
turns = [
|
| 25 |
+
{'role': 'system', 'content': 'Repeat the following text exactly, without any changes'},
|
| 26 |
{'role': 'user', 'content': '<|audio|>'}
|
| 27 |
]
|
| 28 |
+
|
| 29 |
# Debug: Print the initial turns
|
| 30 |
print(f"Initial turns: {turns}")
|
| 31 |
+
|
| 32 |
# Call the model with the audio and prompt
|
| 33 |
output = pipe({'audio': audio, 'turns': turns, 'sampling_rate': sr}, max_new_tokens=512)
|
| 34 |
+
|
| 35 |
# Debug: Print the final output from the model
|
| 36 |
print(f"Model output: {output}")
|
| 37 |
+
|
| 38 |
return output
|
| 39 |
|
| 40 |
except Exception as e:
|
|
|
|
| 45 |
inputs=gr.Audio(sources="microphone", type="filepath"),
|
| 46 |
outputs="text",
|
| 47 |
title="Live Transcription and Response",
|
| 48 |
+
description="Speak into your microphone, and the model will respond naturally and informatively.",
|
| 49 |
live=True
|
| 50 |
)
|
| 51 |
|
| 52 |
if __name__ == "__main__":
|
| 53 |
+
iface.launch()
|
requirements.txt
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
transformers==4.41.2
|
| 2 |
+
peft==0.11.1
|
| 3 |
+
librosa==0.10.2
|
| 4 |
+
gradio==3.50.2
|
| 5 |
+
huggingface_hub
|
| 6 |
+
torch
|
| 7 |
+
spaces
|