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Update app.py
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app.py
CHANGED
@@ -39,26 +39,6 @@ asr_model = whisper.load_model("tiny")
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openai.api_key = os.environ["Openai_APIkey"]
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# get audio from microphone
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with gr.Blocks() as face:
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with gr.Row():
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convoState = gr.State([""])
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with gr.Column():
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audio = gr.Audio(source="microphone", type="filepath")
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promptText = gr.Textbox(lines=15, placeholder="Enter a prompt here")
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dropChoice = gr.Dropdown(choices=["text-ada-001", "text-davinci-002", "text-davinci-003", "gpt-3.5-turbo"], label="Model")
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sliderChoice = gr.Slider(minimum=0.0, maximum=1.0, default=0.8, step=0.1, label="Temperature")
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transcribe_btn = gr.Button(value="Transcribe")
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with gr.Column():
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script = gr.Textbox(label="Transcribed text")
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options = gr.Textbox(label="Predictions")
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latestConvo = gr.Textbox(label="Running conversation")
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#transcribe_btn.click(inference)
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transcribe_btn.click(fn=inference, inputs=[audio, promptText, dropChoice, sliderChoice, convoState], outputs=[latestConvo, script, options])
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examples = gr.Examples(examples=["Sedan, Truck, SUV", "Dalmaion, Shepherd, Lab, Mutt"], inputs=[options])
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# Transcribe function
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def transcribe(audio_file):
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@@ -100,7 +80,24 @@ def inference(audio, prompt, model, temperature, latest):
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return transcript, infers, convoState
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face.launch()
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openai.api_key = os.environ["Openai_APIkey"]
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# Transcribe function
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def transcribe(audio_file):
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return transcript, infers, convoState
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# get audio from microphone
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with gr.Blocks() as face:
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with gr.Row():
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convoState = gr.State([""])
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with gr.Column():
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audio = gr.Audio(source="microphone", type="filepath")
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promptText = gr.Textbox(lines=15, placeholder="Enter a prompt here")
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dropChoice = gr.Dropdown(choices=["text-ada-001", "text-davinci-002", "text-davinci-003", "gpt-3.5-turbo"], label="Model")
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sliderChoice = gr.Slider(minimum=0.0, maximum=1.0, default=0.8, step=0.1, label="Temperature")
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transcribe_btn = gr.Button(value="Transcribe")
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with gr.Column():
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script = gr.Textbox(label="Transcribed text")
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options = gr.Textbox(label="Predictions")
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latestConvo = gr.Textbox(label="Running conversation")
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#transcribe_btn.click(inference)
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transcribe_btn.click(fn=inference, inputs=[audio, promptText, dropChoice, sliderChoice, convoState], outputs=[latestConvo, script, options])
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examples = gr.Examples(examples=["Sedan, Truck, SUV", "Dalmaion, Shepherd, Lab, Mutt"], inputs=[options])
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face.launch()
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