Update app.py

app.py

@@ -141,8 +141,27 @@ if model_type == "Stable Diffusion":
             cols[i].image(image, caption=f"Image {i+1}", use_column_width=True)
 
 elif model_type == "Llama":
-    # Llama model implementation goes here
+    model = st.selectbox("Select a Llama model:", model_dict[model_type]["Models"])
+    tokenizer = st.selectbox("Select a tokenizer:", model_dict[model_type]["Tokenizers"])
+    feature = st.selectbox("Select a feature:", model_dict[model_type]["Features"])
+    weight = st.selectbox("Select a weight:", model_dict[model_type]["Weights"])
+
+    if st.button("Generate Text"):
+        st.write("Generating text...")
+
+        tokenizer = AutoTokenizer.from_pretrained(tokenizer)
+        model = AutoModelForCausalLM.from_pretrained(model)
+
+        input_text = st.text_area("Enter a prompt:")
+
+        # Tokenize the input text
+        inputs = tokenizer(input_text, return_tensors="pt")
+
+        # Generate the text
+        output = model.generate(**inputs)
 
-    # ...
+        # Decode the generated text
+        generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
 
-    # ...
+        st.write("Generated Text:")
+        st.write(generated_text)