Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -9,15 +9,19 @@ from gtts import gTTS
|
|
| 9 |
import tempfile
|
| 10 |
import pygame
|
| 11 |
import streamlit as st
|
| 12 |
-
|
|
|
|
|
|
|
| 13 |
# ==========================
|
| 14 |
# π Secrets (set your own)
|
| 15 |
# ==========================
|
| 16 |
-
|
| 17 |
-
os.environ["EMAIL_ADDRESS"] = "travis723452@gmail.com"
|
| 18 |
-
os.environ["EMAIL_PASSWORD"] = "tcfmyngdfcwoczia"
|
| 19 |
|
| 20 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
whisper_model = whisper.load_model("base")
|
| 22 |
|
| 23 |
# ==========================
|
|
@@ -104,10 +108,19 @@ def speak_and_download(text, lang="en"):
|
|
| 104 |
# ==========================
|
| 105 |
# π Whisper Transcriber
|
| 106 |
# ==========================
|
| 107 |
-
def transcribe_audio(
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 111 |
# ==========================
|
| 112 |
# π Streamlit Interface
|
| 113 |
# ==========================
|
|
|
|
| 9 |
import tempfile
|
| 10 |
import pygame
|
| 11 |
import streamlit as st
|
| 12 |
+
from dotenv import load_dotenv
|
| 13 |
+
import os
|
| 14 |
+
import threading
|
| 15 |
# ==========================
|
| 16 |
# π Secrets (set your own)
|
| 17 |
# ==========================
|
| 18 |
+
load_dotenv()
|
|
|
|
|
|
|
| 19 |
|
| 20 |
+
GROQ_API_KEY = os.getenv("GROQ_API_KEY")
|
| 21 |
+
EMAIL_ADDRESS = os.getenv("EMAIL_ADDRESS")
|
| 22 |
+
EMAIL_PASSWORD = os.getenv("EMAIL_PASSWORD")
|
| 23 |
+
|
| 24 |
+
client = Groq(api_key=GROQ_API_KEY)
|
| 25 |
whisper_model = whisper.load_model("base")
|
| 26 |
|
| 27 |
# ==========================
|
|
|
|
| 108 |
# ==========================
|
| 109 |
# π Whisper Transcriber
|
| 110 |
# ==========================
|
| 111 |
+
def transcribe_audio(file):
|
| 112 |
+
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_wav:
|
| 113 |
+
if file.name.endswith(".mp3"):
|
| 114 |
+
audio = AudioSegment.from_mp3(file)
|
| 115 |
+
elif file.name.endswith(".wav"):
|
| 116 |
+
audio = AudioSegment.from_wav(file)
|
| 117 |
+
else:
|
| 118 |
+
st.error("Unsupported file type.")
|
| 119 |
+
return ""
|
| 120 |
+
|
| 121 |
+
audio.export(temp_wav.name, format="wav")
|
| 122 |
+
result = whisper_model.transcribe(temp_wav.name)
|
| 123 |
+
return result["text"]
|
| 124 |
# ==========================
|
| 125 |
# π Streamlit Interface
|
| 126 |
# ==========================
|