Update app.py

app.py

@@ -1,123 +1,123 @@
-# 21F-9195 Muhammad Ahmad
-import streamlit as st
-import whisper
-import tempfile
-import os
-import shutil
-import requests
-import zipfile
-
-# Function to download and setup FFmpeg automatically
-def setup_ffmpeg():
-    ffmpeg_dir = os.path.join(os.getcwd(), "ffmpeg_bin")
-    ffmpeg_path = os.path.join(ffmpeg_dir, "ffmpeg.exe")
-
-    if not os.path.exists(ffmpeg_path):
-        st.write("Downloading FFmpeg... ⏳")
-        url = "https://www.gyan.dev/ffmpeg/builds/ffmpeg-release-essentials.zip"
-        zip_path = "ffmpeg.zip"
-
-        with open(zip_path, "wb") as f:
-            f.write(requests.get(url, stream=True).content)
-
-        with zipfile.ZipFile(zip_path, "r") as zip_ref:
-            zip_ref.extractall("ffmpeg_temp")
-
-        extracted_dir = [d for d in os.listdir("ffmpeg_temp") if os.path.isdir(os.path.join("ffmpeg_temp", d))][0]
-        shutil.move(os.path.join("ffmpeg_temp", extracted_dir, "bin"), ffmpeg_dir)
-
-        os.remove(zip_path)
-        shutil.rmtree("ffmpeg_temp")
-        st.write("FFmpeg setup complete ✅")
-
-    return ffmpeg_dir
-
-ffmpeg_dir = setup_ffmpeg()
-os.environ["PATH"] += os.pathsep + ffmpeg_dir
-
-@st.cache_resource
-def load_model():
-    return whisper.load_model("small")
-
-model = load_model()
-
-# Custom CSS for styling
-st.markdown(
-    """
-    <style>
-        body {
-            background-color: #1e1e1e;
-            color: white;
-            font-family: 'Arial', sans-serif;
-        }
-        .stButton>button {
-            background-color: #4CAF50;
-            color: white;
-            border: none;
-            border-radius: 8px;
-            padding: 10px 20px;
-            font-size: 16px;
-            margin: 10px 0;
-        }
-        .stButton>button:hover {
-            background-color: #45a049;
-        }
-        .uploaded-file-details {
-            margin-top: 15px;
-            font-size: 14px;
-            color: #ddd;
-        }
-    </style>
-    """,
-    unsafe_allow_html=True
-)
-
-# Streamlit App Layout
-st.title("🎤 Audio-to-Text Converter")
-st.markdown(
-    """
-    Welcome to the **Audio-to-Text Converter**!  
-    Effortlessly convert your audio files into text and subtitles.  
-
-    🔹 **Features**:  
-    - Generate a **Text File** and **Subtitle (SRT) File**.  
-    - Supports multiple audio formats: `mp3`, `mp4`, `m4a`, `wav`.  
-    """
-)
-def format_timestamp(seconds):
-    """Format a timestamp in seconds to the SRT format: HH:MM:SS,ms."""
-    milliseconds = int((seconds % 1) * 1000)
-    seconds = int(seconds)
-    minutes, seconds = divmod(seconds, 60)
-    hours, minutes = divmod(minutes, 60)
-    return f"{hours:02}:{minutes:02}:{seconds:02},{milliseconds:03}"
-
-# File Upload Section
-st.header("📤 Upload Your Audio File")
-uploaded_file = st.file_uploader("Choose an audio file", type=["mp3", "mp4", "m4a", "wav"])
-
-if uploaded_file:
-    st.audio(uploaded_file, format="audio/mp3")
-    file_size = uploaded_file.size / (1024 * 1024)
-    st.markdown(
-        f"""
-        <div class="uploaded-file-details">
-            <strong>Filename:</strong> {uploaded_file.name} <br>
-            <strong>File Size:</strong> {file_size:.2f} MB
-        </div>
-        """,
-        unsafe_allow_html=True,
-    )
-
-    if st.button("Convert Audio to Text"):
-        with st.spinner("Transcription in progress... This might take a while ⏳"):
-            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
-                temp_audio.write(uploaded_file.read())
-                temp_audio_path = temp_audio.name
-
-            result = model.transcribe(temp_audio_path)
-            os.remove(temp_audio_path)
-
-        st.success("Transcription Complete! 🎉")
-        st.subheader("Transcription:")
-        st.write(result["text"])
+# 21F-9195 Muhammad Ahmad
+import streamlit as st
+import whisper
+import tempfile
+import os
+import shutil
+import requests
+import zipfile
+
+# Function to download and setup FFmpeg automatically
+def setup_ffmpeg():
+    ffmpeg_dir = os.path.join(os.getcwd(), "ffmpeg_bin")
+    ffmpeg_path = os.path.join(ffmpeg_dir, "ffmpeg.exe")
+
+    if not os.path.exists(ffmpeg_path):
+        st.write("Downloading FFmpeg... ⏳")
+        url = "https://www.gyan.dev/ffmpeg/builds/ffmpeg-release-essentials.zip"
+        zip_path = "ffmpeg.zip"
+
+        with open(zip_path, "wb") as f:
+            f.write(requests.get(url, stream=True).content)
+
+        with zipfile.ZipFile(zip_path, "r") as zip_ref:
+            zip_ref.extractall("ffmpeg_temp")
+
+        extracted_dir = [d for d in os.listdir("ffmpeg_temp") if os.path.isdir(os.path.join("ffmpeg_temp", d))][0]
+        shutil.move(os.path.join("ffmpeg_temp", extracted_dir, "bin"), ffmpeg_dir)
+
+        os.remove(zip_path)
+        shutil.rmtree("ffmpeg_temp")
+        st.write("FFmpeg setup complete ✅")
+
+    return ffmpeg_dir
+
+ffmpeg_dir = setup_ffmpeg()
+os.environ["PATH"] += os.pathsep + ffmpeg_dir
+
+@st.cache_resource
+def load_model():
+    return whisper.load_model("small")
+
+model = load_model()
+
+# Custom CSS for styling
+st.markdown(
+    """
+    <style>
+        body {
+            background-color: #1e1e1e;
+            color: white;
+            font-family: 'Arial', sans-serif;
+        }
+        .stButton>button {
+            background-color: #4CAF50;
+            color: white;
+            border: none;
+            border-radius: 8px;
+            padding: 10px 20px;
+            font-size: 16px;
+            margin: 10px 0;
+        }
+        .stButton>button:hover {
+            background-color: #45a049;
+        }
+        .uploaded-file-details {
+            margin-top: 15px;
+            font-size: 14px;
+            color: #ddd;
+        }
+    </style>
+    """,
+    unsafe_allow_html=True
+)
+
+# Streamlit App Layout
+st.title("🎤 EchoTextAI")
+st.markdown(
+    """
+    Welcome to the **Audio-to-Text Converter**!  
+    Effortlessly convert your audio files into text and subtitles.  
+
+    🔹 **Features**:  
+    - Generate a **Text File** and **Subtitle (SRT) File**.  
+    - Supports multiple audio formats: `mp3`, `mp4`, `m4a`, `wav`.  
+    """
+)
+def format_timestamp(seconds):
+    """Format a timestamp in seconds to the SRT format: HH:MM:SS,ms."""
+    milliseconds = int((seconds % 1) * 1000)
+    seconds = int(seconds)
+    minutes, seconds = divmod(seconds, 60)
+    hours, minutes = divmod(minutes, 60)
+    return f"{hours:02}:{minutes:02}:{seconds:02},{milliseconds:03}"
+
+# File Upload Section
+st.header("📤 Upload Your Audio File")
+uploaded_file = st.file_uploader("Choose an audio file", type=["mp3", "mp4", "m4a", "wav"])
+
+if uploaded_file:
+    st.audio(uploaded_file, format="audio/mp3")
+    file_size = uploaded_file.size / (1024 * 1024)
+    st.markdown(
+        f"""
+        <div class="uploaded-file-details">
+            <strong>Filename:</strong> {uploaded_file.name} <br>
+            <strong>File Size:</strong> {file_size:.2f} MB
+        </div>
+        """,
+        unsafe_allow_html=True,
+    )
+
+    if st.button("Convert Audio to Text"):
+        with st.spinner("Transcription in progress... This might take a while ⏳"):
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
+                temp_audio.write(uploaded_file.read())
+                temp_audio_path = temp_audio.name
+
+            result = model.transcribe(temp_audio_path)
+            os.remove(temp_audio_path)
+
+        st.success("Transcription Complete! 🎉")
+        st.subheader("Transcription:")
+        st.write(result["text"])