init repo

README.md

@@ -1,12 +1 @@
----
-title: Speech Recognition
-emoji: 🔥
-colorFrom: pink
-colorTo: yellow
-sdk: gradio
-sdk_version: 4.26.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# speech_recognition

app.py

@@ -0,0 +1,39 @@
+import os
+import gradio as gr
+from dotenv import load_dotenv
+from openai import OpenAI
+
+load_dotenv()
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+def transcribe(file_path):
+    audio_file = open(file_path, "rb")
+    transcription = client.audio.transcriptions.create(
+        model="whisper-1",
+        file=audio_file
+    )
+    audio_file.close()
+    return transcription.text
+
+def clear_transcription():
+    return ""
+
+def clear_audio(recording):
+    return None
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# EpicAI 音声認識AI")
+    with gr.Row():
+        with gr.Column():
+            audio_input = gr.Audio(source="microphone", type="filepath", label="音声を録音")
+            submit_button = gr.Button("音声認識を実行")
+            clear_audio_button = gr.Button("入力音声をクリア")
+        with gr.Column():
+            transcription_output = gr.Textbox(label="音声認識結果", elem_id="transcription_output")
+            clear_transcription_button = gr.Button("結果をクリア", elem_id="clear_transcription_button")
+
+    submit_button.click(transcribe, inputs=audio_input, outputs=transcription_output)
+    clear_audio_button.click(clear_audio, inputs=audio_input, outputs=audio_input)
+    clear_transcription_button.click(clear_transcription, inputs=None, outputs=transcription_output)
+
+demo.launch(share=True)

requirements.txt

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+gradio==3.50.2
+openai==1.17.1
+python-dotenv==1.0.1