add rec button and mac path change
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@@ -72,6 +72,8 @@ class Application(tk.Tk):
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playback_menu = Menu(self.menubar, tearoff=0)
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self.menubar.add_cascade(label="Playback", menu=playback_menu)
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playback_menu.add_command(label="Play Last Audio", command=self.play_last_audio)
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#playback_menu.add_command(label="Input Speech to Text", command=self.input_speech_to_text)
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# Help menu
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help_menu = Menu(self.menubar, tearoff=0)
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@@ -130,6 +132,11 @@ class Application(tk.Tk):
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info_label.grid(column=0, row=7, columnspan=2, pady=(0, 0))
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info_label.bind("<Button-1>", lambda e: self.open_scorchsoft())
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# Recording button setup
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self.recording = False # State to check if currently recording
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self.record_button = ttk.Button(main_frame, text="Rec", command=self.toggle_recording)
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self.record_button.grid(column=0, row=8, columnspan=2, pady=(10, 0))
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def open_scorchsoft(self, event=None):
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@@ -282,7 +289,9 @@ https://www.scorchsoft.com/blog/text-to-mic-for-meetings/
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def get_audio_file_path(self, filename):
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if platform.system() == 'Darwin': # Check if the OS is macOS
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return self.get_app_support_path_mac() / filename
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mac_path = self.get_app_support_path_mac();
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#return self.get_app_support_path_mac() / filename
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return f"{mac_path}/{filename}"
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else:
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return Path(filename) # Default to current directory for non-macOS systems
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@@ -435,6 +444,70 @@ https://www.scorchsoft.com/blog/text-to-mic-for-meetings/
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messagebox.showinfo("API Key Updated", "The OpenAI API Key has been updated successfully.")
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def toggle_recording(self):
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if not self.recording:
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# Start recording
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self.recording = True
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self.record_button.config(text="Stop")
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self.record_audio_start()
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else:
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# Stop recording
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self.recording = False
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self.record_button.config(text="Rec")
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self.record_audio_stop()
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def record_audio_start(self):
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import threading
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self.frames = []
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self.p = pyaudio.PyAudio()
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self.stream = self.p.open(format=pyaudio.paInt16, channels=1, rate=44100, input=True, frames_per_buffer=1024)
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#messagebox.showinfo("Record", "Recording started. Press 'Stop' when finished.")
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def record():
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while self.recording:
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data = self.stream.read(1024)
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self.frames.append(data)
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self.record_thread = threading.Thread(target=record)
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self.record_thread.start()
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def record_audio_stop(self):
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self.recording = False
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self.stream.stop_stream()
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self.stream.close()
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self.p.terminate()
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self.record_thread.join() # Ensure the recording thread has finished
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# Save the recording to a file
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file_path = self.get_audio_file_path("input_speech_recording.wav")
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wf = wave.open(str(file_path), 'wb')
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wf.setnchannels(1)
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wf.setsampwidth(self.p.get_sample_size(pyaudio.paInt16))
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wf.setframerate(44100)
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wf.writeframes(b''.join(self.frames))
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wf.close()
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# Optionally transcribe the recording
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self.transcribe_audio(file_path)
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def transcribe_audio(self, file_path):
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try:
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with open(str(file_path), "rb") as audio_file:
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transcription = self.client.audio.transcriptions.create(
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file=audio_file,
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model="whisper-1",
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response_format="verbose_json"
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)
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self.text_input.delete("1.0", tk.END) # Clear existing text
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self.text_input.insert("1.0", transcription.text) # Insert new text
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print("Transcription Complete: The audio has been transcribed and the text has been placed in the input area.")
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#messagebox.showinfo("Transcription Complete", "The audio has been transcribed and the text has been placed in the input area.")
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except Exception as e:
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messagebox.showerror("Transcription Error", f"An error occurred during transcription: {str(e)}")
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if __name__ == "__main__":
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app = Application()
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app.mainloop()
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