api key

app.py

@@ -1,17 +1,34 @@
 import gradio as gr
 from transformers import pipeline
+import requests
+import json
 
 def greet(sentences1):
 
-    translation = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hu")
+    API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3-turbo"
+    headers = {"Authorization": "Bearer hf_api_key"}
+
+    def query(filename):
+        with open(filename, "rb") as f:
+            data = f.read()
+        response = requests.post(API_URL, headers=headers, data=data)
+        return response.json()
+
+    my_text = query("rawveg7.mp3")
+
+    sentences = my_text["text"].split(".")
+
+    return my_text
+
+    #translation = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hu")
     
-    text_translated=[]
-    for text in sentences1:
-        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=greet, inputs="text", outputs="text")
+demo = gr.Interface(fn=greet, inputs="file", outputs="text")
 demo.launch()