Update app.py

app.py

@@ -1,6 +1,4 @@
 import gradio as gr
-
-
 import speech_recognition as sr
 
 def transcribe_speech():
@@ -12,33 +10,29 @@ def transcribe_speech():
         # Set the recording length (in seconds)
         print("Listening...")
 
-        # Record the sound and adjust the volume
+        # Adjust for ambient noise
+        r.adjust_for_ambient_noise(source)
+
+        # Record the sound
         audio = r.listen(source)
 
-        # If the speech pause is greater than 1 second, transcribe the speech
-        if r.DynamicAdjustThreshold(source, audio, 1):
-            try:
-                # Use Google's web-based speech-to-text algorithm to convert the audio to text
-                text = r.recognize_google(audio, language='en-US')
-                #print(f"The text you spoke was: {text}")
+        try:
+            # Use Google's web-based speech-to-text algorithm to convert the audio to text
+            text = r.recognize_google(audio, language='en-US')
             return text
 
-            # If the speech was not recognized, throw an exception and run the function again
-            except sr.UnknownValueError:
-                print("Sorry, I can't understand you.")
-            except sr.RequestError as e:
-                print(f"Error; {e}")
-
-        else:
-            print("Speech pause is less than 1 second. Not transcribing.")
-
-
-    transcribe_speech
-
+        except sr.UnknownValueError:
+            print("Sorry, I can't understand you.")
+            return "Sorry, I can't understand you."
 
+        except sr.RequestError as e:
+            print(f"Error: {e}")
+            return f"Error: {e}"
 
+# Define a simple greeting function for demonstration
 def greet(name):
     return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=transcribe_speech, inputs="text", outputs="text")
+# Create a Gradio interface for the transcription function
+demo = gr.Interface(fn=transcribe_speech, inputs="microphone", outputs="text")
 demo.launch()