translate

app.py

@@ -6,7 +6,7 @@ import os
 
 def speechToText(file):
 
-    api_key = os.getenv("veni18sttts")  # Itt olvassuk ki a secrets-ből a környezeti változót
+    api_key = os.getenv("veni18sttts")  
     API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3-turbo"
     headers = {"Authorization": f"Bearer {api_key}"}
 
@@ -18,19 +18,19 @@ def speechToText(file):
 
     my_text = query(file)
 
-    #sentences = my_text["text"].split(".")
+    sentences = my_text["text"].split(".")
 
-    return my_text
+    
 
-    #translation = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hu")
+    translation = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hu")
     
-    #text_translated=[]
-    #for text in sentences:
-    #    text_translated.append(translation(text))
+    text_translated=[]
+    for text in sentences:
+        text_translated.append(translation(text))
 
     #combined_text = ' '.join([item['translation_text'] for sublist in text_translated for item in sublist])
 
-    #return text_translated
+    return text_translated
 
 demo = gr.Interface(fn=speechToText, inputs="file", outputs="text")
 demo.launch()