Upload sp.py

sp.py

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+import streamlit as st
+from streamlit import session_state
+import tempfile
+from pathlib import Path
+
+st.set_page_config(
+    page_title="Speech Recognision",
+    page_icon="📈",
+)
+from openai import OpenAI
+client = OpenAI()
+uploaded_file = st.file_uploader("Choose a file")
+
+if uploaded_file is not None:
+        # Make temp file path from uploaded file
+    with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
+        fp = Path(tmp_file.name)
+        fp.write_bytes(uploaded_file.getvalue())
+        print(tmp_file.name,"path_")
+    audio_file= open(tmp_file.name, "rb")
+    transcript_english = client.audio.translations.create(
+                 model="whisper-1", 
+                 file=audio_file,temperature = 0)
+    st.text_area("Transcription", value=transcript_english.text)
+
+