Create app.py

app.py

@@ -0,0 +1,35 @@
+# pip install ffmpeg ffprobe
+import os
+import gradio as gr
+from transformers import pipeline
+from transformers import WhisperProcessor
+pipe = pipeline(task="automatic-speech-recognition", model="openai/whisper-tiny")
+processor = WhisperProcessor.from_pretrained("openai/whisper-tiny")
+pipe.model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language="english", task="transcribe")
+
+
+
+
+def recognize(input_audio):
+    print('?????????-------------')
+    print(type(input_audio))
+    print(input_audio)
+    output_text = pipe(input_audio)['text']
+    return output_text
+
+
+
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""
+                """)
+    # 录音功能
+    input_audio = gr.Audio(source="microphone", type="filepath", label='Audio')
+
+    audio_button = gr.Button(value="Recognize!")
+    text = gr.Textbox(lines=2, label='你要不要看看你说了啥？？？')
+    audio_button.click(recognize, inputs=[input_audio], outputs=[text])
+
+
+demo.launch()