Update app.py

app.py

@@ -6,7 +6,29 @@ import os
 import firebase_admin
 from firebase_admin import credentials, db
 
-# Replace with your AssemblyAI API key
+# Replace with your Firebase credentials JSON
+firebase_credentials = {
+    "type": "service_account",
+    "project_id": "learning-5fd92",
+    "private_key_id": "3d926218194aee3902d5f92b2973effbbf27b4f8",
+    "private_key": "-----BEGIN PRIVATE KEY-----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\n7X1bfrWIpyN5dv/oXkMXBnvF\n-----END PRIVATE KEY-----\n",
+    "client_email": "firebase-adminsdk-twa5w@learning-5fd92.iam.gserviceaccount.com",
+    "client_id": "116952036581323046961",
+    "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+    "token_uri": "https://oauth2.googleapis.com/token",
+    "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+    "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/firebase-adminsdk-twa5w%40learning-5fd92.iam.gserviceaccount.com",
+    "universe_domain": "googleapis.com"
+}
+
+# Initialize Firebase
+cred = credentials.Certificate(firebase_credentials)
+firebase_admin.initialize_app(cred, {
+    'databaseURL': 'https://learning-5fd92-default-rtdb.asia-southeast1.firebasedatabase.app/'
+})
+ref = db.reference("/")
+
+# Initialize AssemblyAI
 aai.settings.api_key = "62acec891bb04c339ec059b738bedac6"
 
 # Initialize question answering pipeline
@@ -30,12 +52,13 @@ questions = [
     "Please mention if tooth decay is present with tooth number(s), else just say the word 'none' and nothing else",
     "Have any teeth been fractured? If yes, please mention the tooth number(s), else just say 'none' and nothing else",
     "Is there any pre-shedding mobility of teeth? If yes, please specify, else just say 'none' and nothing else",
-    "Does the child have malocclusion? If yes, please provide details, else just say the word 'none' and nothing else",
+    "Does the child have malocclusion? If yes, please provide details, else just say the word 'none' and nothing
     "Does the child experience pain, swelling, or abscess? If yes, please provide details, else just say 'none' and nothing else",
     "Are there any other findings you would like to note?",
     "What treatment plan do you recommend? Choose only from Options: (Scaling, Filling, Pulp therapy/RCT, Extraction, Medication, Referral) and nothing else"
 ]
 
+# List for the oral health assessment form
 oral_health_assessment_form = [
     "Doctor’s Name",
     "Child’s Name",
@@ -61,42 +84,12 @@ oral_health_assessment_form = [
     "Treatment plan",
 ]
 
-# Replace with your Firebase credentials and database URL
-cred = credentials.Certificate('credentials.json')
-firebase_admin.initialize_app(cred, {
-    'databaseURL': 'https://learning-5fd92-default-rtdb.asia-southeast1.firebasedatabase.app/'
-})
-
-ref = db.reference("/")
-
-# Initialize Gradio Interface
-def main(audio):
-    context = transcribe_audio(audio)
-    
-    if "Error" in context:
-        return context
-    
-    df = fill_dataframe(context)
-    
-    # Add doctor's and patient's name to the beginning of the DataFrame
-    df = pd.concat([pd.DataFrame({"Question": ["Doctor’s Name", "Child’s Name"], "Answer": ["Dr. Charles Xavier", ""]}), df])
-    
-    # Add a title to the DataFrame
-    df['Question'] = oral_health_assessment_form
-
-    # Convert DataFrame to HTML table with editable text boxes
-    table_html = df.to_html(index=False, escape=False, formatters={"Answer": lambda x: f'<input type="text" value="{x}" name="{x}" />'})
-    
-    # Add a submit button
-    submit_button = gr.Button("Submit", onclick=submit_data)
-    table_html += submit_button
-    
-    return table_html
-
+# Function to generate answers for the questions
 def generate_answer(question, context):
     result = question_answerer(question=question, context=context)
     return result['answer']
 
+# Function to handle audio recording and transcription
 def transcribe_audio(audio_path):
     print(f"Received audio file at: {audio_path}")
     
@@ -128,6 +121,7 @@ def transcribe_audio(audio_path):
         print(f"Exception occurred: {e}")
         return str(e)
 
+# Function to fill in the DataFrame with answers
 def fill_dataframe(context):
     data = []
     for question in questions:
@@ -135,19 +129,46 @@ def fill_dataframe(context):
         data.append({"Question": question, "Answer": answer})
     return pd.DataFrame(data)
 
-def submit_data():
-    data = {}
-    for question in oral_health_assessment_form:
-        answer = gr.Interface.get_question(question).get("value")
-        data[question] = answer
+# Function to push data to Firebase
+def push_to_firebase(data):
+    ref.push(data)
+    print("Data pushed to Firebase successfully.")
+
+# Main Gradio app function
+def main(audio):
+    context = transcribe_audio(audio)
+    
+    if "Error" in context:
+        return context
+    
+    df = fill_dataframe(context)
+    
+    # Add doctor's and patient's name to the beginning of the DataFrame
+    df = pd.concat([pd.DataFrame({"Question": ["Doctor’s Name", "Child’s Name"], "Answer": ["Dr. Charles Xavier", ""]}), df])
+    
+    # Add a title to the DataFrame
+    df['Question'] = oral_health_assessment_form
+    
+    # Convert DataFrame to HTML table with editable text boxes
+    table_html = df.to_html(index=False, escape=False, formatters={"Answer": lambda x: f'<input type="text" value="{x}" />'})
+    
+    # Create submit button and save data to Firebase
+    submit_button = gr.Button("Submit")
+    output_html = gr.HTML(label="Assessment Form")
+    
+    def submit_data():
+        data = df.set_index('Question').to_dict()['Answer']
+        push_to_firebase(data)
+    
+    submit_button.click(fn=submit_data)
     
-    ref.push().set(data)
-    print("Data submitted successfully.")
+    return gr.Interface(
+        [audio],
+        [output_html, submit_button],
+        title="Audio Transcription and Question Answering App",
+        live=False
+    )
 
-# Create the Gradio interface
-gr.Interface(
-    main,
-    gr.Audio(type="file", label="Record your audio"),
-    gr.HTML(label="Assessment Form"),
-    live=True
-).launch()
+# Launch the app
+main_app = main(gr.Audio(type="filepath", label="Record your audio"))
+main_app.launch()