Create app.py

app.py

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+import requests
+import pytz
+import streamlit as st
+import os
+
+from datetime import datetime
+from audio_recorder_streamlit import audio_recorder
+
+# Filepath for saving the text
+file_path = '/mnt/data/text_output.txt'
+
+API_URL = 'https://tonpixzfvq3791u9.us-east-1.aws.endpoints.huggingface.cloud'
+headers = {
+    "Authorization": "Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
+    "Content-Type": "audio/wav"
+}
+
+def query(filename):
+    with open(filename, "rb") as f:
+        data = f.read()
+    response = requests.post(API_URL, headers=headers, data=data)
+    return response.json()
+
+def generate_filename(prompt, file_type):
+    central = pytz.timezone('US/Central')
+    safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
+    replaced_prompt = prompt.replace(" ", "_").replace("\n", "_")
+    safe_prompt = "".join(x for x in replaced_prompt if x.isalnum() or x == "_")[:90]
+    return f"{safe_date_time}_{safe_prompt}.{file_type}"
+
+def save_and_play_audio(audio_recorder):
+    audio_bytes = audio_recorder()
+    if audio_bytes:
+        filename = generate_filename("Recording", "wav")
+        with open(filename, 'wb') as f:
+            f.write(audio_bytes)
+        st.audio(audio_bytes, format="audio/wav")
+        return filename
+
+def transcribe_audio(filename):
+    output = query(filename)
+    return output
+
+def save_transcription(transcription):
+    with open(file_path, 'a') as f:
+        f.write(f"{transcription}\n")
+
+def load_previous_transcriptions():
+    if os.path.exists(file_path):
+        with open(file_path, 'r') as f:
+            return f.read()
+    return ""
+
+def main():
+    st.title("Speech to Text 🎤📝")
+    st.write("Record your speech and get the text. 🗨️")
+
+    previous_transcriptions = load_previous_transcriptions()
+    text_area = st.text_area("Transcriptions:", previous_transcriptions, height=400)
+
+    filename = save_and_play_audio(audio_recorder)
+    if filename is not None:
+        transcription = transcribe_audio(filename)
+        
+        # Update the text area with new transcription
+        updated_transcriptions = f"{previous_transcriptions}\n{transcription}"
+        st.text_area("Transcriptions:", updated_transcriptions, height=400)
+        
+        # Save the new transcription to file
+        save_transcription(transcription)
+
+if __name__ == "__main__":
+    main()