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Runtime error
| import gradio as gr | |
| from transformers import pipeline | |
| #trans = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish") | |
| clasificador = pipeline("text-classification", model = "pysentimiento/robertuito-sentiment-analysis") | |
| #def audio_a_texto(audio): | |
| # text = trans(audio)["text"] | |
| # return text | |
| def texto_a_sentimiento(text): | |
| return clasificador(text)[0]["label"] | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown("Demo para workshop Campus 42 Fundaci贸n Telef贸nica") | |
| with gr.Tabs(): | |
| #with gr.TabItem("Transcribe audio en espa帽ol"): | |
| # with gr.Row(): | |
| # audio = gr.Audio(source="microphone", type="filepath") | |
| # transcripcion = gr.Textbox() | |
| # b1 = gr.Button("Transcribe porfa") | |
| with gr.TabItem("An谩lisis de sentimiento en espa帽ol"): | |
| with gr.Row(): | |
| texto = gr.Textbox() | |
| label = gr.Label() | |
| b2 = gr.Button("Analiza el sentimiento, por favor") | |
| #b1.click(audio_a_texto, inputs=audio, outputs=transcripcion) | |
| b2.click(texto_a_sentimiento, inputs=texto, outputs=label) | |
| demo.launch() |