Create app.py

app.py

@@ -0,0 +1,64 @@
+import streamlit as st
+import cv2
+import numpy as np
+
+# -------------------------------
+# Page Configuration
+# -------------------------------
+st.set_page_config(
+    page_title="Hand2Voice",
+    layout="wide"
+)
+
+st.title("🤚 Hand2Voice")
+st.subheader("Hand Gestures to Speech Interface")
+
+# -------------------------------
+# Layout: Two Columns
+# -------------------------------
+col1, col2 = st.columns(2)
+
+# -------------------------------
+# Camera Section (Left)
+# -------------------------------
+with col1:
+    st.markdown("### 📷 Camera Feed")
+    camera_placeholder = st.empty()
+
+# -------------------------------
+# Text & Speech Section (Right)
+# -------------------------------
+with col2:
+    st.markdown("### 📝 Recognized Text")
+    text_placeholder = st.markdown(
+        "<h2 style='color:#333;'>HELLO <span style='background-color:yellow;'>HOW</span> ARE YOU</h2>",
+        unsafe_allow_html=True
+    )
+
+    st.markdown("### 🔊 Spoken Output")
+    st.info("Currently speaking: HOW")
+
+# -------------------------------
+# Status Bar
+# -------------------------------
+st.markdown("---")
+st.success("Show your hand clearly in front of the camera")
+
+# -------------------------------
+# OpenCV Camera Loop
+# -------------------------------
+cap = cv2.VideoCapture(0)
+
+while cap.isOpened():
+    ret, frame = cap.read()
+    if not ret:
+        st.error("Camera not accessible")
+        break
+
+    # Convert BGR to RGB for Streamlit
+    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+
+    # Display frame
+    camera_placeholder.image(frame, channels="RGB")
+
+cap.release()