Update app.py

app.py

@@ -1,37 +1,31 @@
-
+import streamlit as st
 import os
+import requests
 
-# Set up the folder where audio files will be saved
-UPLOAD_FOLDER = 'uploads/'
-os.makedirs(UPLOAD_FOLDER, exist_ok=True)
-app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
-
-# Allowed file extensions
-ALLOWED_EXTENSIONS = {'wav', 'mp3', 'ogg'}
+# Title for the Streamlit app
+st.title("Voice Cloning Application")
 
-# Check if the file is allowed
-def allowed_file(filename):
-    return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
+# File uploader to upload a voice recording
+uploaded_file = st.file_uploader("Upload a voice recording (First Time)", type=["wav", "mp3"])
 
-@app.route('/')
-def index():
-    return render_template('index.html')
+if uploaded_file is not None:
+    # Save the uploaded file locally
+    with open("user_voice.wav", "wb") as f:
+        f.write(uploaded_file.getbuffer())
+    
+    st.write("Your voice has been uploaded. Now we will clone your voice.")
 
-@app.route('/upload', methods=['POST'])
-def upload_audio():
-    if 'file' not in request.files:
-        return jsonify({"message": "No file part"}), 400
+    # Simulate storing the voice in a "database" (for simplicity, store it in the file system)
+    user_voice_path = "user_voice.wav"
 
-    file = request.files['file']
-    if file.filename == '':
-        return jsonify({"message": "No selected file"}), 400
+    # You could use Groq or other ML acceleration API here to fine-tune the model
+    # Save user voice for future use (in real-life, this would be stored in a database)
+    st.write(f"Voice stored at {user_voice_path}")
 
-    if file and allowed_file(file.filename):
-        filename = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
-        file.save(filename)
-        return jsonify({"message": "File uploaded successfully", "filename": file.filename}), 200
+    # You can call your backend (Google Colab) to fine-tune the voice model
+    response = requests.post("https://your-colab-backend-url", files={"file": open(user_voice_path, "rb")})
+    
+    if response.status_code == 200:
+        st.write("Voice fine-tuning completed successfully!")
     else:
-        return jsonify({"message": "Invalid file type. Only WAV, MP3, and OGG are allowed."}), 400
-
-if __name__ == "__main__":
-    app.run(debug=True)
+        st.write("Error in fine-tuning the voice.")