Update src/streamlit_app.py

src/streamlit_app.py

@@ -8,6 +8,12 @@ from groq import Groq
 from typing import Dict, Union
 from elevenlabs.client import ElevenLabs
 
+# Disable telemetry to prevent permission issues in Hugging Face Spaces
+os.environ["STREAMLIT_SERVER_ENABLE_STATIC_FILE_HANDLING"] = "false"
+os.environ["STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION"] = "false"
+os.environ["STREAMLIT_SERVER_ENABLE_CORS"] = "false"
+os.environ["STREAMLIT_TELEMETRY_ENABLED"] = "false"
+
 # Streamlit UI Configuration
 st.set_page_config(
     page_title="Tamil-English Voice Processor", 
@@ -34,9 +40,13 @@ if ELEVENLABS_API_KEY:
 def save_uploaded_file(uploaded_file):
     """Save uploaded file to a temporary location and return path"""
     try:
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
-            tmp_file.write(uploaded_file.getvalue())
-            return tmp_file.name
+        # Create a temporary directory in /tmp which we have write access to
+        temp_dir = tempfile.mkdtemp()
+        temp_path = os.path.join(temp_dir, "uploaded_audio.mp3")
+        
+        with open(temp_path, "wb") as f:
+            f.write(uploaded_file.getbuffer())
+        return temp_path
     except Exception as e:
         st.error(f"Error saving file: {str(e)}")
         return None
@@ -54,6 +64,14 @@ def transcribe_with_groq(audio_file_path) -> Union[str, None]:
     except Exception as e:
         st.error(f"Groq transcription failed: {str(e)}")
         return None
+    finally:
+        # Clean up the temporary directory
+        if os.path.exists(os.path.dirname(audio_file_path)):
+            try:
+                os.remove(audio_file_path)
+                os.rmdir(os.path.dirname(audio_file_path))
+            except:
+                pass
 
 def transcribe_with_elevenlabs(audio_file_path) -> Union[str, None]:
     """Transcribe audio using ElevenLabs API"""
@@ -79,6 +97,14 @@ def transcribe_with_elevenlabs(audio_file_path) -> Union[str, None]:
         if 'response' in locals():
             st.error(f"API Response: {response.text}")
         return None
+    finally:
+        # Clean up the temporary directory
+        if os.path.exists(os.path.dirname(audio_file_path)):
+            try:
+                os.remove(audio_file_path)
+                os.rmdir(os.path.dirname(audio_file_path))
+            except:
+                pass
 
 def extract_entities_with_llama(text: str) -> Dict:
     """Entity extraction using few-shot structured prompting"""
@@ -244,10 +270,5 @@ if audio_file and st.button("Process Audio", type="primary"):
                         for item in entities[category]:
                             st.write(f"- {item}")
     
-    finally:
-        # Clean up the temporary file
-        if temp_file_path and os.path.exists(temp_file_path):
-            try:
-                os.unlink(temp_file_path)
-            except Exception as e:
-                st.warning(f"Could not delete temporary file: {str(e)}")
+    except Exception as e:
+        st.error(f"An error occurred during processing: {str(e)}")