Update app.py

app.py

@@ -1,33 +1,31 @@
 import streamlit as st
 import requests
 
-# # Print out all secrets to check what is available
-# st.write(st.secrets)
-
-# # Access the secret with the key "CTP_DATASCIENCE" (if that's how you've stored it)
+# Access the Hugging Face API key from the secrets
 CTP_DATASCIENCE = st.secrets.get("CTP_DATASCIENCE")
 
-# # Check if the API key is available
-# if CTP_DATASCIENCE:
-#     st.success("API key found!")
-# else:
-#     st.error("API key not found!")
-
 # Set up the headers for the Hugging Face API request using the API key
 headers = {"Authorization": f"Bearer {CTP_DATASCIENCE}"}
 
 # Define the Hugging Face API URL (for Whisper model, in this case)
 API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3-turbo"
 
-# Function to make the API request with the given file
-def query(filename):
-    with open(filename, "rb") as f:
-        data = f.read()
-    response = requests.post(API_URL, headers=headers, data=data)
-    return response.json()
-
-# Example usage with a sample audio file
-output = query("sample1.flac")
+# Function to make the API request with the given file URL
+def query(file_url):
+    # Download the audio file from the Hugging Face Space URL
+    response = requests.get(file_url)
+    if response.status_code == 200:
+        # Send the file data to the Hugging Face API
+        response_api = requests.post(API_URL, headers=headers, data=response.content)
+        return response_api.json()
+    else:
+        return {"error": "Failed to download the file."}
+
+# URL to your audio file on Hugging Face Space
+file_url = "https://huggingface.co/spaces/AndrewLam489/PillID_Transcribe/resolve/main/Greenpill.m4a"
+
+# Call the function with the audio file URL
+output = query(file_url)
 
 # Display the output of the API request
 st.write(output)