Update app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+transcription = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish")
+clasification = pipeline("text-classification", model = "pysentimiento/robertuito-sentiment-analysis")
+
+def audio_a_text(audio):
+  text = transcription(audio)["text"]
+  return text
+
+def text_to_sentimient(audio):
+    text = transcription(audio)["text"]
+    return clasification(text)[0]["label"]
+
+demo = gr.Blocks()
+
+with demo:
+  gr.Markdown("Speech analyzer")
+  audio = gr.Audio(type="filepath", label = "Upload a file")
+  text = gr.Textbox()
+  b1 = gr.Button("convert to text")
+  b1.click(audio_a_text, inputs=audio, outputs=text)
+
+  b2 = gr.Button("Classification of speech")
+  b2.click(text_to_sentimient, inputs=audio, outputs=text)
+
+demo.launch()