Update app.py

app.py

@@ -2,10 +2,11 @@ import tempfile
 import webrtcvad
 import speech_recognition as sr
 import os
-import tkinter as tk
+import streamlit as st
+from traceback import format_exc
 
 def update_vad_status(status):
-    vad_status_label.config(text=status)
+    vad_status.text(status)
 
 def process_audio_file(audio_file_path):
     # Configuramos la tasa de muestreo y el tamaño del frame
@@ -26,8 +27,11 @@ def process_audio_file(audio_file_path):
         with open(audio_file_path, "rb") as f:
             audio_data = f.read()
 
-    except FileNotFoundError:
-        print(f"Error: File not found - {audio_file_path}")
+    except FileNotFoundError as e:
+        st.error(f"Error: File not found - {audio_file_path}")
+        st.error(f"Error Details: {e}")
+        st.error("Traceback:")
+        st.error(format_exc())
         return
 
     # 2. Use a temporary file to process the audio data:
@@ -64,27 +68,22 @@ def process_audio_file(audio_file_path):
                 try:
                     text = recognizer.recognize_google(audio)
                     phrase += f" {text}"
-                    print(f"️ {text}")
+                    st.text(f"️ {text}")
                 except sr.RequestError:
-                    print("⚠️ Error al transcribir la frase")
+                    st.error("⚠️ Error al transcribir la frase - RequestError")
                 except sr.UnknownValueError:
-                    print("⚠️ No se ha reconocido la frase")
+                    st.error("⚠️ No se ha reconocido la frase - UnknownValueError")
 
             # Reiniciamos el indicador de frase
             speech_detected = False
 
     # Imprimimos la frase completa
-    print(f"Transcripción completa: {phrase}")
+    st.success(f"Transcripción completa: {phrase}")
 
-# Tkinter GUI
-root = tk.Tk()
-root.title("VAD Status")
+# Streamlit UI
+st.title("VAD and Speech Recognition App")
 
-vad_status_label = tk.Label(root, text="", font=("Helvetica", 14))
-vad_status_label.pack(pady=20)
+uploaded_file = st.file_uploader("Choose an audio file", type=["wav"])
 
-# Example usage:
-audio_file_path = os.path.join(os.getcwd(), "audio.wav")  # Replace "audio.wav" with your actual file name
-process_audio_file(audio_file_path)
-
-root.mainloop()
+if uploaded_file:
+    process_audio_file(uploaded_file.name)