Update app.py

app.py

@@ -1854,6 +1854,35 @@ def transcribe_canary(filename):
     st.write(result)
     return result
 
+
+def transcribe_audio(file_path, model):
+    key = os.getenv('OPENAI_API_KEY')
+    headers = {
+        "Authorization": f"Bearer {key}",
+    }
+    with open(file_path, 'rb') as f:
+        data = {'file': f}
+        st.write("Read file {file_path}", file_path)
+        OPENAI_API_URL = "https://api.openai.com/v1/audio/transcriptions"
+        response = requests.post(OPENAI_API_URL, headers=headers, files=data, data={'model': model})
+    if response.status_code == 200:
+        st.write(response.json())
+        chatResponse = chat_with_model(response.json().get('text'), '') # *************************************
+        transcript = response.json().get('text')
+        #st.write('Responses:')
+        #st.write(chatResponse)
+        filename = generate_filename(transcript, 'txt')
+        #create_file(filename, transcript, chatResponse)
+        response = chatResponse
+        user_prompt = transcript
+        create_file(filename, user_prompt, response, should_save)
+        return transcript
+    else:
+        st.write(response.json())
+        st.error("Error in API call.")
+        return None
+
+
 def transcribe_whisperLTurbo(filename):
     client = Client("hf-audio/whisper-large-v3-turbo")
     result = client.predict(
@@ -1865,12 +1894,20 @@ def transcribe_whisperLTurbo(filename):
     return result
 
 # Transcript to arxiv and client chat completion -------------------------  !!
-filename = save_and_play_audio(audio_recorder)
-if filename is not None:
-    transcript=''
+filename = save_and_play_audio(audio_recorder
+if filename is not None: # whisper1
+    try:
+        transcript = transcribe_audio(filename, "whisper-1")
+    except:
+        st.write(' ')
+    st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+    filename = None
+                      
+#if filename is not None:
+#    transcript=''
     #transcript=transcribe_whisperLTurbo(filename)
     #transcript=transcribe_canary(filename)
-    transcript=process_audio(filename)
+#    transcript=process_audio(filename)
     
     # Search ArXiV and get the Summary and Reference Papers Listing
     result = search_arxiv(transcript)