Create jarvis.py

pages/jarvis.py

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+import streamlit as st
+from transformers import pipeline
+import edge_tts
+import tempfile
+import os
+
+# Initialize voice chat pipeline and other settings
+default_lang = "en"
+system_instructions = "[SYSTEM] Answer as Real Jarvis JARVIS, Made by 'Tony Stark', Keep conversation very short, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. The request asks you to provide friendly responses as if You are the character Jarvis, made by 'Tony Stark.' The expectation is that I will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by the user and not an AI-powered assistant. [USER]"
+client = pipeline("text2text-generation", model="mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+# Function to transcribe audio
+def transcribe(audio):
+    lang = "en"
+    text = "Sample transcription"  # Replace with your transcription logic
+    return text
+
+# Function to generate Jarvis response
+def generate_jarvis_response(prompt):
+    formatted_prompt = system_instructions + prompt + "[JARVIS]"
+    output = client(formatted_prompt)
+    response_text = output[0]['generated_text']
+    communicate = edge_tts.Communicate(response_text)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
+        tmp_path = tmp_file.name
+        communicate.save(tmp_path)
+    return tmp_path
+
+# Streamlit UI
+st.title("JARVIS⚡ - Personal Assistant of Tony Stark")
+st.markdown("Voice Chat with your personal assistant")
+
+# Voice chat interface
+audio_file = st.file_uploader("Voice Chat (BETA) - Upload audio file", type=["mp3", "wav"])
+if audio_file:
+    audio_path = transcribe(audio_file)
+    response_path = generate_jarvis_response(audio_path)
+    st.audio(response_path)
+
+# Text-based interaction
+st.markdown("### Text-based Interaction")
+prompt_text = st.text_input("Prompt", "What is Wikipedia?")
+if st.button("Generate Response"):
+    response_path = generate_jarvis_response(prompt_text)
+    st.audio(response_path)
+
+# # Additional links
+# st.markdown("### Try Other Models")
+# st.markdown("[Instant ](https://huggingface.co/spaces/)")