Create app.py

app.py

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+import streamlit as st
+import moviepy.editor as mp
+import speech_recognition as sr
+from pydub import AudioSegment
+import tempfile
+import os
+
+# Function to convert video to audio
+def video_to_audio(video_file):
+    # Load the video using moviepy
+    video = mp.VideoFileClip(video_file)
+    
+    # Extract audio
+    audio = video.audio
+    temp_audio_path = tempfile.mktemp(suffix=".mp3")
+    
+    # Write the audio to a file
+    audio.write_audiofile(temp_audio_path)
+    return temp_audio_path
+
+# Function to transcribe audio to text
+def transcribe_audio(audio_file):
+    # Initialize recognizer
+    recognizer = sr.Recognizer()
+    
+    # Load the audio file using speech_recognition
+    audio = sr.AudioFile(audio_file)
+    
+    with audio as source:
+        audio_data = recognizer.record(source)
+    
+    try:
+        # Transcribe the audio data to text using Google Web Speech API
+        text = recognizer.recognize_google(audio_data)
+        return text
+    except sr.UnknownValueError:
+        return "Audio could not be understood."
+    except sr.RequestError:
+        return "Could not request results from Google Speech Recognition service."
+
+# Streamlit app layout
+st.title("Video to Audio to Text Transcription")
+st.write("Upload a video file, and it will be converted to audio and transcribed into text.")
+
+# File uploader for video
+uploaded_video = st.file_uploader("Upload Video", type=["mp4", "mov", "avi"])
+
+if uploaded_video is not None:
+    # Save the uploaded video file temporarily
+    with tempfile.NamedTemporaryFile(delete=False) as tmp_video:
+        tmp_video.write(uploaded_video.read())
+        tmp_video_path = tmp_video.name
+    
+    # Convert video to audio
+    st.write("Converting video to audio...")
+    audio_file = video_to_audio(tmp_video_path)
+    
+    # Provide the audio file to the user for download
+    st.audio(audio_file, format='audio/mp3')
+    
+    # Transcribe audio to text
+    st.write("Transcribing audio to text...")
+    transcription = transcribe_audio(audio_file)
+    
+    # Show the transcription
+    st.text_area("Transcription", transcription, height=300)
+    
+    # Cleanup temporary files
+    os.remove(tmp_video_path)
+    os.remove(audio_file)