Create app.py

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+
+lpmc_client = gr.load("seungheondoh/LP-Music-Caps-demo", src="spaces")
+from gradio_client import Client
+
+client = Client("https://ysharma-explore-llamav2-with-tgi.hf.space/")
+
+
+def infer(audio_file):
+    
+    cap_result = lpmc_client(
+    				audio_file,	# str (filepath or URL to file) in 'audio_path' Audio component
+    				api_name="predict"
+    )
+    print(cap_result)
+
+    result = client.predict(
+    				cap_result,	# str in 'Message' Textbox component
+    				api_name="chat"
+    )
+    
+    print(result)
+    
+    return cap_result, result
+
+with gr.Blocks() as demo:
+    with gr.Column(elem_id="col-container"):
+        audio_input = gr.Audio(type="filepath", source="upload")
+        infer_btn = gr.Button("Generate")
+        lpmc_cap = gr.Textbox(label="Lp Music Caps caption")
+        llama_trans_cap = gr.Textbox(label="Llama translation")
+        img_result = gr.Video(label="Result")
+
+    infer_btn.click(fn=infer, inputs=[audio_input], outputs=[lpmc_cap, llama_trans_cap])
+
+demo.queue().launch()