Create app.py

app.py

@@ -0,0 +1,33 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from gpt4all import GPT4All
+
+st.set_page_config(page_title="AutoGPT with Streamlit", layout="wide")
+
+st.title("🤖 AutoGPT Agent (Docker + Streamlit)")
+st.write("Powered by **DeepSeek + GPT4All**")
+
+# Sidebar setup
+st.sidebar.header("Settings")
+model_choice = st.sidebar.selectbox("Choose Model", ["DeepSeek", "GPT4All"])
+goal = st.text_area("Enter your AI Goal:", placeholder="e.g., Research 5 AI trends and summarize")
+
+if st.button("Run Agent"):
+    if model_choice == "DeepSeek":
+        model_name = "deepseek-ai/deepseek-coder-1.3b-base"
+        tokenizer = AutoTokenizer.from_pretrained(model_name)
+        model = AutoModelForCausalLM.from_pretrained(model_name)
+        inputs = tokenizer(goal, return_tensors="pt")
+        output = model.generate(**inputs, max_new_tokens=200)
+        result = tokenizer.decode(output[0], skip_special_tokens=True)
+
+    elif model_choice == "GPT4All":
+        gpt4all = GPT4All("gpt4all-lora-quantized.bin")
+        with gpt4all.chat_session():
+            result = gpt4all.generate(goal, max_tokens=200)
+
+    else:
+        result = "No model selected."
+
+    st.subheader("Agent Output")
+    st.write(result)