Upload with huggingface_hub

DESCRIPTION.md

@@ -0,0 +1 @@
+Automatic speech recognition English. Record from your microphone and the app will transcribe the audio.

README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Automatic-speech-recognition Main
+title: automatic-speech-recognition_main 
 emoji: 🔥
-colorFrom: green
+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 @@
+https://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

@@ -0,0 +1,17 @@
+import gradio as gr
+import os
+
+# save your HF API token from https:/hf.co/settings/tokens as an env variable to avoid rate limiting
+auth_token = os.getenv("auth_token")
+
+# automatically load the interface from a HF model 
+# you can remove the api_key parameter if you don't care about rate limiting. 
+demo = gr.Interface.load(
+    "huggingface/facebook/wav2vec2-base-960h",
+    title="Speech-to-text",
+    inputs="mic",
+    description="Let me try to guess what you're saying!",
+    api_key=auth_token
+)
+
+demo.launch()