Create app.py

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+
+
+import speech_recognition as sr
+
+def transcribe_speech():
+    # Initialize the Recognizer object
+    r = sr.Recognizer()
+
+    # Open a Microphone source
+    with sr.Microphone() as source:
+        # Set the recording length (in seconds)
+        print("Listening...")
+
+        # Record the sound and adjust the volume
+        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}")
+            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
+
+
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+demo = gr.Interface(fn=transcribe_speech, inputs="text", outputs="text")
+demo.launch()