add

demo_gradio.py

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+import gradio as gr
+import openai
+import youtube_dl
+
+
+def asr(url):
+    # download audio
+    # Options for youtube-dl
+    ydl_opts = {
+        'outtmpl': 'my_video.mp4'
+    }
+
+    # Create a youtube-dl object
+    ydl = youtube_dl.YoutubeDL(ydl_opts)
+
+    # Download the video
+    info_dict = ydl.extract_info(url, download=True)
+
+    audio_file= open("my_video.mp4", "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file)
+    output = openai.ChatCompletion.create(
+    model="gpt-3.5-turbo",
+    messages=[
+            {"role": "user", "content": "Transcript: {transcript}. \n Translate the video conversation transcript into fluent Chinese. Chinese: ".format(transcript=transcript["text"])},
+        ]
+    )
+    return transcript["text"], output['choices'][0]['message']['content']
+
+demo = gr.Interface(fn=asr, inputs="text", 
+                    outputs=[
+                        gr.outputs.Textbox(label="English"),
+                        gr.outputs.Textbox(label="Chinese"),
+                    ])
+
+demo.launch(share=True)