Update app.py

app.py

@@ -32,35 +32,54 @@ def find_most_similar_command(statement, command_list):
      i+=1
 
     return best_match,reply
-def transcribe_the_command(audio,id):
+
+
+def send_data_to_db(order_id,col_name):
+    import requests
+
+# API endpoint URL
+    url = 'https://pizzahut.softinfix.tech/api/save_order/'+order_id
+
+# Data to send (in dictionary format)
+    data = {
+    col_name: col_value,
+    }
+
+# Send POST request with data
+    response = requests.post(url, data=data)
+
+# Print response
+    print(response.status_code)
+    print(response.text)
+
+def transcribe_the_command(audio,menu_id,order_id,db_col="0"):
 
       import soundfile as sf
       sample_rate, audio_data = audio
       file_name = "recorded_audio.wav"
       sf.write(file_name, audio_data, sample_rate)
     # Convert stereo to mono by averaging the two channels
-      print(id)
+      print(menu_id)
 
       transcript = asr_pipe(file_name)["text"]
-      if id == "transcript_only":
+      if menu_id == "transcript_only":
         reply=transcript
         print(reply)
       else:
-        commands=urdu_data[id]
+        commands=urdu_data[menu_id]
         print(commands)
         most_similar_command,reply = find_most_similar_command(transcript, commands)
         print(f"Given Statement: {transcript}")
         print(f"Most Similar Command: {most_similar_command}\n")
         print(reply)
-    
-      return reply
+        return reply
 # get_text_from_voice("urdu.wav")
 import gradio as gr
 
 
 iface = gr.Interface(
     fn=transcribe_the_command,
-    inputs=[gr.inputs.Audio(label="Recorded Audio",source="microphone"),gr.inputs.Textbox(label="id")],
+    inputs=[gr.inputs.Audio(label="Recorded Audio",source="microphone"),gr.inputs.Textbox(label="id"),,gr.inputs.Textbox(label="col_name(optional)")],
     outputs="text",
     title="Whisper Small Urdu Command",
     description="Realtime demo for Urdu speech recognition using a fine-tuned Whisper small model and outputting the estimated command on the basis of speech transcript.",