Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
+
+# Load the Mistral model and tokenizer
+model_name = "mistralai/Mistral-7B-Instruct-v0.2"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Initialize the text generation pipeline
+generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+
+# Streamlit UI
+st.title("Waifu Character Generator")
+
+# User inputs
+name = st.text_input("Name of the Waifu")
+hair_color = st.selectbox("Hair Color", ["Blonde", "Brunette", "Red", "Black", "Blue", "Pink"])
+personality = st.selectbox("Personality", ["Tsundere", "Yandere", "Kuudere", "Dandere", "Genki", "Normal"])
+outfit_style = st.selectbox("Outfit Style", ["School Uniform", "Maid Outfit", "Casual", "Kimono", "Gothic Lolita"])
+
+# Generate button
+if st.button("Generate Waifu"):
+    # Generate character description
+    prompt = f"Create a waifu character named {name} with {hair_color} hair, a {personality} personality, and wearing a {outfit_style}."
+    result = generator(prompt, max_length=150, num_return_sequences=1)[0]['generated_text']
+    
+    # Display the generated character
+    st.subheader("Generated Waifu Character")
+    st.write(result)