Update app.py

app.py

@@ -1,28 +1,30 @@
 import gradio as gr
 import torch
-from moshi import load_model, transcribe
+import moshi
 
-# Load the model
-model = load_model("kyutai/moshika-pytorch-bf16")
+# Print out the contents of the moshi module
+print("Contents of moshi module:")
+print(dir(moshi))
 
-def process_audio(audio):
-    # Convert audio to tensor
-    audio_tensor = torch.tensor(audio).float()
-    if audio_tensor.dim() == 2:
-        audio_tensor = audio_tensor.mean(dim=1)
-    
-    # Transcribe audio
-    transcription = transcribe(model, audio_tensor)
-    return transcription
+# Try to access some common attributes or functions
+print("\nTrying to access common attributes or functions:")
+for item in ['load_model', 'transcribe', 'MoshiServer', 'Moshi', 'MoshiConfig']:
+    try:
+        attr = getattr(moshi, item)
+        print(f"{item}: {attr}")
+    except AttributeError:
+        print(f"{item} not found in moshi module")
+
+# Create a simple Gradio interface
+def dummy_function(input_text):
+    return f"Moshi package version: {moshi.__version__}"
 
-# Create Gradio interface
 iface = gr.Interface(
-    fn=process_audio,
-    inputs=gr.Audio(source="upload", type="numpy"),
-    outputs=gr.Textbox(label="Transcription"),
-    title="Moshi Speech-to-Text",
-    description="Upload an audio file to transcribe using the Moshi model."
+    fn=dummy_function,
+    inputs="text",
+    outputs="text",
+    title="Moshi Package Information",
+    description="This app displays information about the installed moshi package."
 )
 
-# Launch the app
 iface.launch()