hadnle eror

app.py

@@ -1,51 +1,42 @@
 import gradio as gr
 import requests
+import os
 
 # List of supported languages
-LANGUAGES = [
-    "malayalam",
-    "tamil",
-    "telugu",
-    "hindi", 
-    "kannada"
-]
+LANGUAGES = ["malayalam", "tamil", "telugu", "hindi", "kannada"]
 
 # Function to extract language name
 def get_lang_name(lang_string):
     return lang_string.split("(")[0].strip().lower()
 
 def transcribe_api(audio_file, language):
-
-    import os
-
-    # Get the base URL (IP or domain) from environment variable
+    # Get the base URL from environment variable
     base_url = os.getenv("DWANI_AI_API_BASE_URL")
 
     if not base_url:
-        raise ValueError("DWANI_AI_API_BASE_URL environment variable is not set")
+        return {"error": "DWANI_AI_API_BASE_URL environment variable is not set"}
 
     # Define the endpoint path
     endpoint = "v1/transcribe/?language"
 
     # Construct the full API URL
-    url = f"{base_url.rstrip('/')}{endpoint}"
-    url = f"{url}={get_lang_name(language)}"
+    url = f"{base_url.rstrip('/')}/{endpoint}={get_lang_name(language)}"
     
     headers = {
         "accept": "application/json",
     }
     
-    # Open the file in binary mode
-    with open(audio_file, 'rb') as f:
-        files = {
-            "file": (audio_file, f, "audio/x-wav")
-        }
-        try:
+    try:
+        # Open the file in binary mode
+        with open(audio_file, 'rb') as f:
+            files = {
+                "file": (os.path.basename(audio_file), f, "audio/x-wav")
+            }
             response = requests.post(url, headers=headers, files=files)
             response.raise_for_status()
             return response.json()
-        except requests.exceptions.RequestException as e:
-            return f"Error: {str(e)}"
+    except requests.exceptions.RequestException as e:
+        return {"error": str(e)}
 
 # Create Gradio interface
 with gr.Blocks(title="Speech to Text API Interface") as demo: