Create app.py

app.py

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+import os
+import streamlit as st
+from groq import Groq
+from dotenv import load_dotenv
+
+# Load API key
+load_dotenv()
+API_KEY = os.getenv("GROQ_API_KEY")
+
+# Initialize Groq client
+client = Groq(api_key=API_KEY)
+
+# Streamlit App Title
+st.title("🧠 Brain-to-Text AI Keyboard")
+
+# User input: Simulated brain signal (text description)
+st.subheader("Think of a sentence, then describe it in words:")
+thought_input = st.text_area("Describe your thought:", height=100)
+
+# Virtual keyboard (optional)
+st.subheader("Or use the virtual keyboard to refine your thought:")
+if "typed_text" not in st.session_state:
+    st.session_state.typed_text = ""
+
+# Define keyboard layout
+keyboard_layout = [
+    ["Q", "W", "E", "R", "T", "Y", "U", "I", "O", "P"],
+    ["A", "S", "D", "F", "G", "H", "J", "K", "L"],
+    ["Z", "X", "C", "V", "B", "N", "M", "←"],
+    ["Space"]
+]
+
+# Display keyboard
+for row in keyboard_layout:
+    cols = st.columns(len(row))
+    for i, key in enumerate(row):
+        if cols[i].button(key):
+            if key == "←":
+                st.session_state.typed_text = st.session_state.typed_text[:-1]
+            elif key == "Space":
+                st.session_state.typed_text += " "
+            else:
+                st.session_state.typed_text += key
+
+# Display user-typed text
+st.text_area("Refined Thought:", value=st.session_state.typed_text, height=100)
+
+# Generate AI-based Brain-to-Text Conversion
+if st.button("Convert Thought to Text"):
+    full_input = thought_input.strip() + " " + st.session_state.typed_text.strip()
+    if full_input.strip():
+        try:
+            response = client.chat.completions.create(
+                model="llama-3.3-70b-versatile",
+                messages=[{"role": "user", "content": full_input}]
+            )
+            st.write("### AI Interpreted Thought:")
+            st.write(response.choices[0].message.content)
+        except Exception as e:
+            st.error(f"Error: {e}")
+    else:
+        st.warning("Please describe a thought before converting.")