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Update app.py
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app.py
CHANGED
@@ -25,20 +25,6 @@ questions = [
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"Please give all the clinical findings which were listed"
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]
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# List of form fields in the correct order
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form_fields = [
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"Age",
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"Gender",
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"Chief complaint",
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"Medical history",
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"Dental history",
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"Clinical Findings",
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"Referred to",
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"Treatment plan",
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"Calculus",
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"Stains"
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]
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# Oral Health Assessment Form
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oral_health_assessment_form = [
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"Doctor’s Name",
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@@ -65,7 +51,6 @@ def generate_answer(question: str, context: str) -> str:
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def transcribe_audio(audio_path: str) -> str:
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print(f"Received audio file at: {audio_path}")
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# Check if the file exists and is not empty
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if not os.path.exists(audio_path):
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return "Error: Audio file does not exist."
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@@ -73,14 +58,11 @@ def transcribe_audio(audio_path: str) -> str:
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return "Error: Audio file is empty."
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try:
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# Transcribe the audio file using AssemblyAI
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transcriber = aai.Transcriber()
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print("Starting transcription...")
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transcript = transcriber.transcribe(audio_path)
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print("Transcription process completed.")
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# Handle the transcription result
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if transcript.status == aai.TranscriptStatus.error:
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print(f"Error during transcription: {transcript.error}")
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return transcript.error
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@@ -94,57 +76,44 @@ def transcribe_audio(audio_path: str) -> str:
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return str(e)
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# Function to fill in the answers for the text boxes
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def fill_textboxes(context: str) ->
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answers = []
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for question in questions:
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answer = generate_answer(question, context)
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answers.append(answer)
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# Map answers to form fields in the correct order
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return
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"
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"
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"
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"
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"
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"
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# Supabase configuration
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supabase: Client = create_client(url, key)
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# Main Gradio app function
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def handle_transcription(audio: str, doctor_name: str, location: str) ->
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context = transcribe_audio(audio)
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if "Error" in context:
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return
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answers = fill_textboxes(context)
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answers.update({
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"Doctor’s Name": doctor_name,
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"Location": location
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})
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"Dental history": answers.get("Dental history", ""),
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"Clinical Findings": answers.get("Clinical Findings", ""),
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"Referred to": answers.get("Referred to", ""),
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"Treatment plan": answers.get("Treatment plan", ""),
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"Calculus": answers.get("Calculus", ""),
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"Stains": answers.get("Stains", ""),
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"Doctor’s Name": doctor_name,
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"Location": location
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}
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def save_answers(doctor_name: str, location: str, patient_name: str, age: str, gender: str, chief_complaint: str, medical_history: str, dental_history: str, clinical_findings: str, treatment_plan: str, referred_to: str, calculus: str, stains: str) -> str:
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current_datetime = datetime.now().isoformat()
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@@ -166,7 +135,6 @@ def save_answers(doctor_name: str, location: str, patient_name: str, age: str, g
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}
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print("Saved answers:", answers_dict)
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# Insert data into Supabase
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try:
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response = supabase.table('oral_health_assessments').insert(answers_dict).execute()
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print("Data inserted into Supabase:", response.data)
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@@ -177,28 +145,21 @@ def save_answers(doctor_name: str, location: str, patient_name: str, age: str, g
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# Function to download table as CSV
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def download_table_to_csv() -> Optional[str]:
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# Fetch data from Supabase table
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response = supabase.table("oral_health_assessments").select("*").execute()
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# Check if data is available
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if not response.data:
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print("No data found in the table.")
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return None
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data = response.data
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# Prepare CSV data
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csv_data = []
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# Add header row
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if len(data) > 0:
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csv_data.append(data[0].keys())
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# Add data rows
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for row in data:
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csv_data.append(row.values())
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# Save CSV data to file (replace 'your_table.csv' with desired filename)
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csv_file = "your_table.csv"
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with open(csv_file, "w", newline='') as f:
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writer = csv.writer(f)
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@@ -218,7 +179,6 @@ with gr.Blocks() as demo:
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gr.Markdown("# OHA Form Filler App")
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with gr.Tabs() as tabs:
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# Default tab for Doctor's Name and Location
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with gr.Tab("Doctor Info"):
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doctor_name_input = gr.Textbox(label="Doctor's Name", interactive=True)
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location_input = gr.Textbox(label="Location", interactive=True)
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@@ -230,7 +190,6 @@ with gr.Blocks() as demo:
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submit_button.click(fn=submit_info, inputs=[doctor_name_input, location_input], outputs=info_output)
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# Second tab for OHA Form
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with gr.Tab("OHA Form"):
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audio_input = gr.Audio(type="filepath", label="Record your audio", elem_id="audio_input")
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transcribe_button = gr.Button("Transcribe and Generate Form", elem_id="transcribe_button", interactive=False)
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oha_output = gr.Textbox(label="OHA Output", value="", interactive=False)
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save_button = gr.Button("Save to Supabase", elem_id="save_button", interactive=True)
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with gr.Tab("Download Data"):
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download_button = gr.Button("Download CSV")
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download_output = gr.File()
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"Please give all the clinical findings which were listed"
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]
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# Oral Health Assessment Form
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oral_health_assessment_form = [
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"Doctor’s Name",
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def transcribe_audio(audio_path: str) -> str:
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print(f"Received audio file at: {audio_path}")
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if not os.path.exists(audio_path):
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return "Error: Audio file does not exist."
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return "Error: Audio file is empty."
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try:
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transcriber = aai.Transcriber()
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print("Starting transcription...")
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transcript = transcriber.transcribe(audio_path)
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print("Transcription process completed.")
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if transcript.status == aai.TranscriptStatus.error:
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print(f"Error during transcription: {transcript.error}")
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return transcript.error
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return str(e)
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# Function to fill in the answers for the text boxes
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def fill_textboxes(context: str) -> list:
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answers = []
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for question in questions:
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answer = generate_answer(question, context)
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answers.append(answer)
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# Map answers to form fields in the correct order and return as a list
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return [
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answers[0] if len(answers) > 0 else "",
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answers[1] if len(answers) > 1 else "",
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answers[2] if len(answers) > 2 else "",
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answers[3] if len(answers) > 3 else "",
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answers[4] if len(answers) > 4 else "",
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answers[5] if len(answers) > 5 else "",
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"", # Referred to
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"", # Treatment plan
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"", # Calculus
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"", # Stains
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"", # Doctor’s Name
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"", # Location
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]
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# Supabase configuration
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supabase: Client = create_client(url, key)
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# Main Gradio app function
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def handle_transcription(audio: str, doctor_name: str, location: str) -> list:
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context = transcribe_audio(audio)
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if "Error" in context:
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return [context] * 13 # Return error for all fields
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answers = fill_textboxes(context)
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# Insert Doctor’s Name and Location in the appropriate fields
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answers[-2] = doctor_name
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answers[-1] = location
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return answers
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def save_answers(doctor_name: str, location: str, patient_name: str, age: str, gender: str, chief_complaint: str, medical_history: str, dental_history: str, clinical_findings: str, treatment_plan: str, referred_to: str, calculus: str, stains: str) -> str:
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current_datetime = datetime.now().isoformat()
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}
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print("Saved answers:", answers_dict)
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try:
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response = supabase.table('oral_health_assessments').insert(answers_dict).execute()
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print("Data inserted into Supabase:", response.data)
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# Function to download table as CSV
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def download_table_to_csv() -> Optional[str]:
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response = supabase.table("oral_health_assessments").select("*").execute()
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if not response.data:
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print("No data found in the table.")
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return None
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data = response.data
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csv_data = []
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if len(data) > 0:
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csv_data.append(data[0].keys())
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for row in data:
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csv_data.append(row.values())
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csv_file = "your_table.csv"
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with open(csv_file, "w", newline='') as f:
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writer = csv.writer(f)
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gr.Markdown("# OHA Form Filler App")
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with gr.Tabs() as tabs:
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with gr.Tab("Doctor Info"):
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doctor_name_input = gr.Textbox(label="Doctor's Name", interactive=True)
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location_input = gr.Textbox(label="Location", interactive=True)
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submit_button.click(fn=submit_info, inputs=[doctor_name_input, location_input], outputs=info_output)
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with gr.Tab("OHA Form"):
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audio_input = gr.Audio(type="filepath", label="Record your audio", elem_id="audio_input")
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transcribe_button = gr.Button("Transcribe and Generate Form", elem_id="transcribe_button", interactive=False)
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oha_output = gr.Textbox(label="OHA Output", value="", interactive=False)
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save_button = gr.Button("Save to Supabase", elem_id="save_button", interactive=True)
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# Update the transcription and form fields when the transcribe button is clicked
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transcribe_button.click(
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fn=handle_transcription,
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inputs=[audio_input, doctor_name_input, location_input],
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outputs=textboxes_left + textboxes_right + [doctor_name_display, location_display]
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)
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# Save the form data to Supabase when the save button is clicked
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save_button.click(
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fn=save_answers,
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inputs=[doctor_name_input, location_input] + textboxes_left + textboxes_right,
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outputs=[oha_output]
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)
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with gr.Tab("Download Data"):
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download_button = gr.Button("Download CSV")
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download_output = gr.File(label="Download the CSV File", interactive=False)
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download_button.click(fn=gradio_download, inputs=[], outputs=download_output)
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# Launch the Gradio app
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demo.launch(share=True)
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