Update app.py

app.py

@@ -1,23 +1,46 @@
+import json
+
 import streamlit as st
-#from audiorecorder import audiorecorder
-import huggingface_hub as hf
+from audiorecorder import audiorecorder
+import requests
 
+STT_API_KEY = "gV6KiOm_eDrOisgI9B9hBbcTeNEwYQT4XNLJNLaI6DMk" #see discord
+STT_URL = "https://api.us-south.speech-to-text.watson.cloud.ibm.com/instances/de074216-e340-4d56-b391-406532c98440/v1/recognize" #see discord
 
 st.markdown("<h1 style='text-align: center;'>Tell us how you feel</h1>", unsafe_allow_html=True)
 
 st.write("<h3 style='text-align: center; color: lightSeaGreen;'>we'll generate the insights</h3>", unsafe_allow_html=True)
 
-# Create a speech_recorder component.
-speech_recorder = hf.spaces.component("speech_recorder", language="en", sampling_rate=16000)
+audio = audiorecorder("Click to record", "Click to stop recording")
+
+
+if not audio.empty():
+    # To play audio in frontend:
+    st.audio(audio.export().read())  
+
+    # To save audio to a file, use pydub export method:
+    audio.export("audio.flac", format="flac")
+
+    # Convert audio to text
+
+    headers = {
+        "Content-Type": "audio/flac"
+    }
+
+    with open("audio.flac", "rb") as f:
+        response = requests.post(STT_URL, auth=("apikey", STT_API_KEY), headers=headers, files={'audio.flac': f})
+
+    response_json = response.json()
+    print(response_json)
+    if response_json["results"]:
+        response_text = response_json["results"][0]["alternatives"][0]["transcript"]
+    else:
+        response_text = "No audio detected"
+    print(response_text)
 
-# Add a button to the app that allows users to start and stop recording.
-button = st.button("Record speech")
+    # To get audio properties, use pydub AudioSegment properties:
+    st.text_area(label="Output", 
+                value=response_text,
+                height=300)
 
-# When the user clicks the button, start recording the user's speech.
-if button.clicked:
-    speech_recorder.start()
 
-# When the user stops recording, return a transcript of the user's speech.
-if speech_recorder.is_finished:
-    transcript = speech_recorder.get_transcript()
-    st.write(transcript)