Update app.py

app.py

@@ -1,16 +1,39 @@
+# from transformers import pipeline
+# import gradio as gr
+
+# pipe = pipeline(model="jsbeaudry/jsbeaudry/kreyol-tts")  
+
+# def transcribe(audio):
+#     text = pipe(audio)["text"]
+#     return text
+
+
+# iface = gr.Interface(
+#     fn=transcribe,
+#     inputs=gr.Audio(type="filepath"), 
+#     outputs="text",
+#     title="Whisper medium Creole",
+#     description="Realtime demo for Haitian Creole speech recognition using a fine-tuned medium small model.",
+# )
+
+# iface.launch()
+
+
+
 from transformers import pipeline
 import gradio as gr
 
-pipe = pipeline(model="jsbeaudry/jsbeaudry/kreyol-tts")  
+# Reuse the previously created pipeline object
+pipe = pipeline(model="jsbeaudry/creole-speech-to-text")  
 
 def transcribe(audio):
-    text = pipe(audio)["text"]
+    # Use the 'whisper' pipeline defined in the previous cell
+    text = whisper(audio)["text"]
     return text
 
-
 iface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(type="filepath"), 
+    inputs=gr.Audio(type="filepath"),
     outputs="text",
     title="Whisper medium Creole",
     description="Realtime demo for Haitian Creole speech recognition using a fine-tuned medium small model.",