Update app.py

app.py

@@ -1,30 +1,37 @@
 import streamlit as st
-import pandas as pd
-
-# Load data
-data = pd.read_csv("computer_parts_data.csv")
-
-# Streamlit app UI
-def main():
-    st.title("Computer Parts Identifier")
-
-    # Sidebar for user input
-    st.sidebar.header("Filter Options")
-    brand = st.sidebar.text_input("Brand")
-    price_range = st.sidebar.slider("Price Range", min_value=0, max_value=2000, value=(0, 2000))
-    # Add more filter options as needed
-
-    # Filter data based on user input
-    filtered_data = data[(data['Brand'].str.contains(brand, na=False)) & 
-                         (data['Price'] >= price_range[0]) & 
-                         (data['Price'] <= price_range[1])]
-    # Add more filtering conditions as needed
-
-    # Display filtered results
-    st.subheader("Matching Computer Parts")
-    st.write(filtered_data)
-
-if __name__ == "__main__":
-    main()
-
+import logging
+from transformers import pipeline
+
+# Setup logging
+logging.basicConfig(level=logging.INFO)
+
+# Load automatic speech recognition (ASR) pipeline
+asr = pipeline(task="automatic-speech-recognition",
+               model="distil-whisper/distil-small.en")
+
+# Function for transcribing speech
+def transcribe_speech(audio_file):
+    if not audio_file:
+        logging.error("No audio file provided.")
+        return "No audio found, please retry."
+    try:
+        logging.info(f"Processing file: {audio_file.name}")
+        output = asr(audio_file.name)  # Assuming `asr` directly takes a file path
+        return output[0]["transcription"]
+    except Exception as e:
+        logging.error(f"Error during transcription: {str(e)}")
+        return f"Error processing the audio file: {str(e)}"
+
+# Streamlit UI
+st.title("Speech Recognition")
+
+uploaded_file = st.file_uploader("Upload audio file", type=["wav", "mp3"])
+
+if uploaded_file:
+    st.audio(uploaded_file, format='audio/wav')
+
+    if st.button("Transcribe Audio"):
+        transcription = transcribe_speech(uploaded_file)
+        st.write("Transcription:")
+        st.write(transcription)