Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import torch
+from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
+
+# Load pretrained models from Hugging Face
+nlp_pipeline = pipeline("text-generation", model="gpt2")  # For text generation (voice assistant)
+speech_recognition_model = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-large-960h")
+speech_recognition_processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-large-960h")
+
+# Function for voice-to-text conversion using Wav2Vec2
+def recognize_speech(audio):
+    # Process the audio file
+    input_values = speech_recognition_processor(audio, return_tensors="pt").input_values
+    with torch.no_grad():
+        logits = speech_recognition_model(input_values).logits
+    predicted_ids = torch.argmax(logits, dim=-1)
+    # Decode the prediction
+    transcription = speech_recognition_processor.decode(predicted_ids[0])
+    return transcription
+
+# Function for generating device commands using GPT-2 (e.g., for controlling smart devices)
+def generate_response(user_input):
+    response = nlp_pipeline(user_input, max_length=50, num_return_sequences=1)[0]['generated_text']
+    return response
+
+# Gradio Interface
+def interact_with_system(audio=None, user_input=None):
+    if audio:
+        # Convert speech to text
+        transcription = recognize_speech(audio)
+        return transcription
+    elif user_input:
+        # Generate response to control devices
+        response = generate_response(user_input)
+        return response
+    else:
+        return "Please provide either voice or text input."
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=interact_with_system, 
+    inputs=[
+        gr.Audio(source="microphone", type="numpy", label="Voice Command"),  # Voice input
+        gr.Textbox(label="Text Command")  # Text input
+    ], 
+    outputs="text",  # Output the text response (device control command)
+    title="AI-Driven Consumer Device Ecosystem", 
+    description="Use voice or text commands to interact with smart devices in your ecosystem."
+)
+
+# Launch the interface
+interface.launch()