Update app.py

app.py

@@ -1,12 +1,80 @@
-import os
-import streamlit as st
+# import os
+# import streamlit as st
+# from pydub import AudioSegment
+# from groq import Groq
+
+# # Set ffmpeg path
+# ffmpeg_path = r"ffmpeg.exe"
+# os.environ["PATH"] += os.pathsep + os.path.dirname(ffmpeg_path)
+# AudioSegment.converter = ffmpeg_path
+
+# # Groq API configuration
+# groq_api_key = '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'  # Replace with your actual API key
+# client = Groq(api_key=groq_api_key)
+# model = 'whisper-large-v3'
+
+# # Function to ensure the file is in a suitable format
+# def ensure_suitable_format(file_path):
+#     allowed_formats = ["flac", "mp3", "mp4", "mpeg", "mpga", "m4a", "ogg", "opus", "wav", "webm"]
+#     file_extension = file_path.split('.')[-1].lower()
+#     if file_extension not in allowed_formats:
+#         new_file_path = f"{os.path.splitext(file_path)[0]}.wav"
+#         os.rename(file_path, new_file_path)
+#         return new_file_path
+#     return file_path
+
+# # Function to convert audio to WAV
+# def convert_audio_to_wav(input_path, output_path):
+#     audio = AudioSegment.from_file(input_path)
+#     audio.export(output_path, format="wav")
+#     return output_path
+
+# # Function to transcribe audio using Groq
+# def audio_to_text(filepath):
+#     with open(filepath, "rb") as file:
+#         translation = client.audio.translations.create(
+#             file=(filepath, file.read()),
+#             model=model,
+#         )
+#     return translation.text
+
+# # Streamlit App UI
+# st.title("Audio-to-Text Transcription")
+# st.write("Upload an audio file to get the transcribed text.")
+
+# # File upload
+# uploaded_file = st.file_uploader("Upload your audio file", type=["flac", "mp3", "mp4", "mpeg", "mpga", "m4a", "ogg", "opus", "wav", "webm"])
+
+# if uploaded_file:
+#     # Save the uploaded file locally
+#     file_path = os.path.join("uploaded_audio", uploaded_file.name)
+#     os.makedirs("uploaded_audio", exist_ok=True)
+#     with open(file_path, "wb") as f:
+#         f.write(uploaded_file.getbuffer())
+    
+#     st.write(f"File uploaded: {uploaded_file.name}")
+
+#     # Ensure file format is suitable
+#     suitable_audio_path = ensure_suitable_format(file_path)
+
+#     # Convert audio to WAV
+#     wav_path = f"{os.path.splitext(suitable_audio_path)[0]}.wav"
+#     converted_audio = convert_audio_to_wav(suitable_audio_path, wav_path)
+
+#     # Transcribe audio
+#     st.write("Processing transcription...")
+#     try:
+#         transcription = audio_to_text(converted_audio)
+#         st.success("Transcription complete!")
+#         st.text_area("Transcribed Text", transcription, height=200)
+#     except Exception as e:
+#         st.error(f"Error during transcription: {e}")
+
+
 from pydub import AudioSegment
 from groq import Groq
-
-# Set ffmpeg path
-ffmpeg_path = r"ffmpeg.exe"
-os.environ["PATH"] += os.pathsep + os.path.dirname(ffmpeg_path)
-AudioSegment.converter = ffmpeg_path
+import os
+import streamlit as st
 
 # Groq API configuration
 groq_api_key = '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'  # Replace with your actual API key
@@ -69,3 +137,4 @@ if uploaded_file:
         st.text_area("Transcribed Text", transcription, height=200)
     except Exception as e:
         st.error(f"Error during transcription: {e}")
+