changed requirements

app.py

@@ -12,7 +12,6 @@ from scipy.io.wavfile import write
 import PIL
 from openai import OpenAI
 dotenv.load_dotenv()
-import time
 
 seamless_client = Client("facebook/seamless_m4t")
 

requirements.txt

@@ -1,9 +1,6 @@
-python-decouple
-gradio==4.1.2
-git+https://github.com/huggingface/transformers
-torchaudio==2.0.2
-sentencepiece
 python-dotenv
-Pillow
+Pillow==10.0.1
 scipy
-openai
+openai==1.1.2
+gradio==4.1.2
+gradio_client==0.7.0

test.py

@@ -1,35 +1,16 @@
 import gradio as gr
 
 
-def process_text(text):
-    return text
+def process_speech(audio):
+    return f"""audio {audio}
+type {type(audio)}"""
 
 
-def process_image(image):
-    return "image processed successfully"
+with gr.Blocks(theme='ParityError/Anime') as iface : 
+    audio_input = gr.Audio(label="talk in french")
+    audio_output = gr.Markdown(label="output text")
+    audio_button = gr.Button("process audio")
+    audio_button.click(process_speech, inputs=audio_input, outputs=audio_output)
 
-def process_audio(audio):
-    return "audio processed successfully"
 
-
-with gr.Blocks() as iface:
-    gr.Markdown("# this is my demo for tab feature")
-    with gr.Tab("process Text"):
-        text_input = gr.Textbox()
-        text_output = gr.Textbox()
-        text_button = gr.Button("process text")
-    with gr.Tab("process Image"):
-        image_input = gr.Image()
-        image_output = gr.Textbox()
-        image_button = gr.Button("process image")
-    with gr.Tab("process Audio"):
-        audio_input = gr.Audio()
-        audio_output = gr.Textbox()
-        audio_button = gr.Button("process audio")
-
-
-    text_button.click(process_text, inputs=text_input, outputs=text_output)
-    image_button.click(process_image, inputs=image_input, outputs=image_output)
-    audio_button.click(process_audio, inputs=audio_input, outputs=audio_output)
-
-iface.launch()
+iface.launch(show_error=True)