init app

app.py

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+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+import gradio as gr
+
+from transformers import pipeline
+
+pipe = pipeline(model="carlosaccardi/whisper-swedish-new")
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    generator = pipeline('text-generation', model = 'birgermoell/swedish-gpt')
+    return generator(text, max_length = 50, num_return_sequences=1)[0]['generated_text']
+
+iface = gr.Interface(
+    fn=transcribe, 
+    inputs=gr.Audio(source="microphone", type="filepath"), 
+    outputs="text",
+    title="Swedish text generation",
+    description="Tell the API a sentence to be completed.",
+)
+
+iface.launch()

requirements.txt

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+transformers
+torch
+gradio