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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Blocks Speech Text Sentiment Main
-emoji: 😻
-colorFrom: green
+title: blocks_speech_text_sentiment_main 
+emoji: 🔥
+colorFrom: indigo
 colorTo: indigo
 sdk: gradio
 sdk_version: 3.6
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+torch
+transformershttps://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

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+from transformers import pipeline
+
+import gradio as gr
+
+asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
+classifier = pipeline("text-classification")
+
+
+def speech_to_text(speech):
+    text = asr(speech)["text"]
+    return text
+
+
+def text_to_sentiment(text):
+    return classifier(text)[0]["label"]
+
+
+demo = gr.Blocks()
+
+with demo:
+    audio_file = gr.Audio(type="filepath")
+    text = gr.Textbox()
+    label = gr.Label()
+
+    b1 = gr.Button("Recognize Speech")
+    b2 = gr.Button("Classify Sentiment")
+
+    b1.click(speech_to_text, inputs=audio_file, outputs=text)
+    b2.click(text_to_sentiment, inputs=text, outputs=label)
+
+if __name__ == "__main__":
+    demo.launch()