v4

app.py

@@ -8,19 +8,19 @@ headers = {
     'accept': 'application/json',
     'x-gladia-key': '89b0adf5-fb2c-48ba-8a66-76b02827fd14',
     # requests won't add a boundary if this header is set when you pass files=
-    'Content-Type': 'multipart/form-data',
+    # 'Content-Type': 'multipart/form-data',
 }
 
 
-openai_key = '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'
 
-headers = {
+
+def create(prompt,openai_key):
+  
+    headers = {
         'Content-Type': 'application/json',
         'Authorization': f'Bearer {openai_key}',
        
     }
-
-def create(prompt):
     data =   {
         "model": "text-davinci-003",
         "prompt": prompt,
@@ -36,7 +36,7 @@ def create(prompt):
     return r.json()
 
 
-def convert(res):
+def convert(res,openai_key):
     data = res.json()
     prediction = data['prediction']
     content = []
@@ -45,7 +45,7 @@ def convert(res):
     auido_txt = '\n'.join(content)
 
     prompt = f"将下面的内容，总结10条要点出来，\n{auido_txt}"
-    open_ai_res = create(prompt)
+    open_ai_res = create(prompt,openai_key)
     answer = open_ai_res['choices'][0]['text']
 
     res_content = f'音频内容：\n{auido_txt}\nGPT3总结的要点：\n{answer}'
@@ -64,7 +64,7 @@ def get_audio(url):
     print('aodio over ..')
     return audio_file
 
-def get_transcript(url):
+def get_transcript(url,openai_key):
     audio_file = get_audio(url)
     # audio_file = 'tmp.mp4'
     files = {
@@ -74,7 +74,7 @@ def get_transcript(url):
     }
     response = requests.post('https://api.gladia.io/audio/text/audio-transcription/', headers=headers, files=files)
     print(response.text)
-    return convert(response)
+    return convert(response,openai_key)
     
 
 
@@ -88,6 +88,7 @@ with gr.Blocks() as demo:
 
             with gr.Row():
                 url = gr.Textbox(placeholder='Youtube video URL', label='URL')
+                openai_key = gr.Textbox(placeholder='Your openai key', label='key')
                
 
             with gr.Row():
@@ -97,6 +98,6 @@ with gr.Blocks() as demo:
         with gr.Column():
             outputs = gr.Textbox(placeholder='Transcription of the video', label='Transcription')
 
-    transcribe_btn.click(get_transcript, inputs=[url], outputs=outputs)
+    transcribe_btn.click(get_transcript, inputs=[url,openai_key], outputs=outputs)
 
 demo.launch(debug=True)