config

.streamlit/config.toml

@@ -1,5 +1,5 @@
 [server]
-maxUploadSize = 5
+maxUploadSize = 20
 
 [theme]
 base="light"

app.py

@@ -2,6 +2,9 @@ import streamlit as st
 import pymupdf as fitz
 import pyperclip
 from utils.audit.audit_doc import audit_descriptif
+import dotenv
+from utils.audit.audit_audio import evaluate_audio_quality
+
 
 # Function to extract text from PDF
 def extract_text_from_pdf(file):
@@ -29,6 +32,7 @@ def classify_file(file):
         return "unknown"
 
 def main():
+    dotenv.load_dotenv()
     # Streamlit app
     st.title("AUDIT DES DOCUMENTS")
 
@@ -90,6 +94,12 @@ def main():
             #     st.success("Text copied to clipboard successfully!")
             # else:
             #     st.info("Please upload a PDF file to extract text.")
+        
+        elif type == "audio":
+            with st.spinner("Analyzing audio quality..."):
+                audio_quality = evaluate_audio_quality(uploaded_file)
+            st.write("### Audio Quality")
+            st.write(f"Audio quality:\n {audio_quality}")
 
 if __name__ == "__main__":
     main()

utils/audit/transcript_audio.py

@@ -7,4 +7,5 @@ def transcript_audio(audio_file):
         model="whisper",
         file=audio_file
     )
+    
     return transcription.text