Update app.py

changed to gr.Interface()

app.py

@@ -7,13 +7,15 @@ import ffmpeg  # Make sure it's ffmpeg-python
 # Check if GPU is available
 use_gpu = torch.cuda.is_available()
 
+
 # Configure the pipeline to use the GPU if available
 if use_gpu:
     p = pipeline("automatic-speech-recognition", 
-                 model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h", device=0)
+             model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h", device=0)
 else:
     p = pipeline("automatic-speech-recognition", 
-                 model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h")
+             model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h")
+
 
 def extract_audio_from_m3u8(url):
     try:
@@ -23,7 +25,8 @@ def extract_audio_from_m3u8(url):
     except Exception as e:
         return f"An error occurred: {e}"
 
-def transcribe_function(audio, state, uploaded_audio, m3u8_url):
+
+def transcribe(audio, state="", uploaded_audio=None, m3u8_url=""):
     if m3u8_url:
         audio = extract_audio_from_m3u8(m3u8_url)
 
@@ -31,48 +34,36 @@ def transcribe_function(audio, state, uploaded_audio, m3u8_url):
         audio = uploaded_audio
 
     if not audio:
-        return {state_var: state, transcription_var: state}  # Return a meaningful message
+        return state, state  # Return a meaningful message
 
     try:
         time.sleep(3)
         text = p(audio, chunk_length_s= 50)["text"]
         state += text + "\n"
-        return {state_var: state, transcription_var: state}
+        return state, state
     except Exception as e:
-        return {transcription_var: "An error occurred during transcription.", state_var: state}  # Handle other exceptions
-
-# ... [most of your code remains unchanged]
-
-def reset_output(transcription, state):
-    """Function to reset the state to an empty string."""
-    return "", ""
-
-with gr.Blocks() as demo:
-    state_var = gr.State("")
-    
-    with gr.Row():
-        with gr.Column():
-            microphone = gr.Audio(source="microphone", type="filepath", label="Microphone")
-            uploaded_audio = gr.Audio(label="Upload Audio File", type="filepath", source="upload")
-            m3u8_url = gr.Textbox(label="m3u8 URL | E.g.: from kvf.fo or logting.fo")
-            
-        with gr.Column():
-            transcription_var = gr.Textbox(type="text", label="Transcription", readonly=True)
-            
-    with gr.Row():
-        transcribe_button = gr.Button("Transcribe")
-        reset_button = gr.Button("Reset output")
-
-    transcribe_button.click(
-        transcribe_function,
-        [microphone, state_var, uploaded_audio, m3u8_url],
-        [transcription_var, state_var]
-    )
-
-    reset_button.click(
-        reset_output,
-        [transcription_var, state_var],
-        [transcription_var, state_var]
-    )
-
-demo.launch()
+        return "An error occurred during transcription.", state  # Handle other exceptions
+
+
+def reset(state):
+    state = ''
+    return state
+
+
+demo = gr.Interface(
+    fn=transcribe, 
+    inputs=[
+        gr.components.Audio(source="microphone", type="filepath"),
+        'state',
+        gr.components.Audio(label="Upload Audio File", type="filepath", source="upload"),
+        gr.components.Textbox(label="m3u8 URL | E.g.: from kvf.fo or logting.fo")
+    ],
+    outputs=[
+        gr.components.Textbox(type="text"),
+        "state"
+    ],
+
+    live=True)
+
+
+demo.launch()