Update app.py

app.py

@@ -43,12 +43,16 @@ def parse_transcription(logits):
 
 
 # Function to retrieve an answer based on a question (using fuzzy matching)
-def get_answer(wav_file):
-    input_values = read_file_and_process(wav_file)
-    with torch.no_grad():
-        logits = model(**input_values).logits
-    user_question = parse_transcription(logits)
-
+def get_answer(wav_file, text=None):
+    
+    if text=None:
+        input_values = read_file_and_process(wav_file)
+        with torch.no_grad():
+            logits = model(**input_values).logits
+        user_question = parse_transcription(logits)
+    elif text != None:
+        user_question = text
+        
     highest_score = 0
     best_answer = None
 
@@ -68,14 +72,21 @@ model_id = "jonatasgrosman/wav2vec2-large-xlsr-53-persian"
 processor = Wav2Vec2Processor.from_pretrained(model_id)
 model = Wav2Vec2ForCTC.from_pretrained(model_id)
 
-input_ = gr.Audio(source="microphone",
+input_ = [
+        gr.Audio(source="microphone",
                   type="filepath",
                   label="لطفا دکمه ضبط صدا را بزنید و شروع به صحبت کنید و بعذ از اتمام صحبت دوباره دکمه ضبط را فشار دهید.",
                   show_download_button=True,
                   show_edit_button=True,
-                 )
+                 ), 
+        gr.TextBox(label="سوال خود را بنویسید.",
+                   lines=3,
+                   text_align="right",
+                   show_label=True,)
+         ]
+
 txtbox = gr.Textbox(
-            label="متن گفتار شما: ",
+            label="پاسخ شما: ",
             lines=5,
             text_align="right",
             show_label=True,