Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -14,7 +14,6 @@ def play_text(text):
|
|
14 |
os.system(f"start {temp_file.name}") # Windows
|
15 |
return "✅ Text is being read out. Please listen and read it yourself."
|
16 |
|
17 |
-
# Function to transcribe user's audio and compare with the original text
|
18 |
def transcribe_audio(audio, original_text):
|
19 |
recognizer = sr.Recognizer()
|
20 |
with sr.AudioFile(audio) as source:
|
@@ -22,21 +21,34 @@ def transcribe_audio(audio, original_text):
|
|
22 |
|
23 |
try:
|
24 |
start_time = time.time()
|
|
|
|
|
|
|
|
|
|
|
25 |
# Split the audio into chunks (1-minute chunks in this example)
|
26 |
audio_length = len(audio_data.frame_data)
|
27 |
chunk_size = 60000 # 1 minute (60,000 ms)
|
28 |
|
29 |
# Splitting audio data into chunks
|
30 |
chunks = [audio_data.frame_data[i:i+chunk_size] for i in range(0, audio_length, chunk_size)]
|
|
|
31 |
|
32 |
transcription = ""
|
33 |
for chunk in chunks:
|
34 |
audio_chunk = sr.AudioData(chunk, audio_data.sample_rate, audio_data.sample_width)
|
|
|
|
|
|
|
|
|
35 |
# Using Google Speech Recognition (supports Hindi)
|
36 |
transcription += recognizer.recognize_google(audio_chunk, language="hi-IN") + " "
|
37 |
|
38 |
end_time = time.time()
|
39 |
|
|
|
|
|
|
|
40 |
# Calculate Accuracy
|
41 |
original_words = original_text.strip().split()
|
42 |
transcribed_words = transcription.strip().split()
|
@@ -63,6 +75,8 @@ def transcribe_audio(audio, original_text):
|
|
63 |
except Exception as e:
|
64 |
return {"error": str(e)}
|
65 |
|
|
|
|
|
66 |
# Gradio App
|
67 |
with gr.Blocks() as app:
|
68 |
gr.Markdown("## 🗣️ Hindi Reading & Pronunciation Practice App")
|
|
|
14 |
os.system(f"start {temp_file.name}") # Windows
|
15 |
return "✅ Text is being read out. Please listen and read it yourself."
|
16 |
|
|
|
17 |
def transcribe_audio(audio, original_text):
|
18 |
recognizer = sr.Recognizer()
|
19 |
with sr.AudioFile(audio) as source:
|
|
|
21 |
|
22 |
try:
|
23 |
start_time = time.time()
|
24 |
+
|
25 |
+
# Debug: Check audio data length and properties
|
26 |
+
print(f"Audio Data Length: {len(audio_data.frame_data)}")
|
27 |
+
print(f"Sample Rate: {audio_data.sample_rate}")
|
28 |
+
|
29 |
# Split the audio into chunks (1-minute chunks in this example)
|
30 |
audio_length = len(audio_data.frame_data)
|
31 |
chunk_size = 60000 # 1 minute (60,000 ms)
|
32 |
|
33 |
# Splitting audio data into chunks
|
34 |
chunks = [audio_data.frame_data[i:i+chunk_size] for i in range(0, audio_length, chunk_size)]
|
35 |
+
print(f"Number of chunks: {len(chunks)}")
|
36 |
|
37 |
transcription = ""
|
38 |
for chunk in chunks:
|
39 |
audio_chunk = sr.AudioData(chunk, audio_data.sample_rate, audio_data.sample_width)
|
40 |
+
|
41 |
+
# Debug: Print chunk size
|
42 |
+
print(f"Transcribing Chunk: {len(chunk)}")
|
43 |
+
|
44 |
# Using Google Speech Recognition (supports Hindi)
|
45 |
transcription += recognizer.recognize_google(audio_chunk, language="hi-IN") + " "
|
46 |
|
47 |
end_time = time.time()
|
48 |
|
49 |
+
# Debug: Output full transcription
|
50 |
+
print(f"Transcribed Text: {transcription}")
|
51 |
+
|
52 |
# Calculate Accuracy
|
53 |
original_words = original_text.strip().split()
|
54 |
transcribed_words = transcription.strip().split()
|
|
|
75 |
except Exception as e:
|
76 |
return {"error": str(e)}
|
77 |
|
78 |
+
return {"error": str(e)}
|
79 |
+
|
80 |
# Gradio App
|
81 |
with gr.Blocks() as app:
|
82 |
gr.Markdown("## 🗣️ Hindi Reading & Pronunciation Practice App")
|