app.py

import streamlit as st
import os
import requests

# --- CONFIG ---
SIGN_IMAGE_FOLDER = "sign_images"
HF_TOKEN = os.getenv("HF_API_TOKEN")
if not HF_TOKEN:
    st.error("Hugging Face API token not found. Please set 'HF_API_TOKEN' in your environment.")
    st.stop()

HF_MODEL = "facebook/mbart-large-50-many-to-many-mmt"

# --- STREAMLIT UI ---
st.set_page_config(page_title="DeafTranslator", layout="centered")
st.title("🤟 DeafTranslator")
st.markdown("""
Translate **Urdu ↔ English** and view it in **Sign Language** (ASL).

You can also input ASL signs manually to reverse translate them into English and then Urdu.
""")

# --- HELPER FUNCTIONS ---

def hf_translate(text, src_lang, tgt_lang):
    headers = {"Authorization": f"Bearer {HF_TOKEN}"}
    payload = {
        "inputs": text,
        "parameters": {"src_lang": src_lang, "tgt_lang": tgt_lang},
        "options": {"wait_for_model": True}
    }
    url = f"https://api-inference.huggingface.co/models/{HF_MODEL}"
    try:
        response = requests.post(url, headers=headers, json=payload)
        # Check if the response is empty or invalid
        if response.status_code != 200:
            return f"Error: Received status code {response.status_code}"
        result = response.json()
        if not result or not isinstance(result, list):
            return f"Error: Invalid response format. {response.text}"
        return result[0]["translation_text"]
    except Exception as e:
        return f"Error: {e}"

def find_image_path(name):
    for ext in ["jpg", "JPG"]:
        path = os.path.join(SIGN_IMAGE_FOLDER, f"{name}.{ext}")
        if os.path.exists(path):
            return path
    return None

def display_sign_language(text):
    st.markdown("### 👐 Sign Language Representation")
    if not text:
        st.warning("No translation available to display in ASL.")
        return
    words = text.lower().split()

    for word in words:
        st.markdown(f"**{word}**")
        cols = st.columns(len(word))
        for i, char in enumerate(word):
            if char.isalpha():
                img_path = find_image_path(char)
                if img_path:
                    cols[i].image(img_path, caption=char.upper(), width=70)
                else:
                    cols[i].warning(f"Missing: {char.upper()}")
        # Show space image between words
        space_img = find_image_path("space")
        if space_img:
            st.image(space_img, width=40)

def render_sign_input():
    st.markdown("### ✋ Manual Sign Input (A–Z & Space)")
    selected_chars = st.multiselect(
        "Select ASL Signs in Order",
        options=[chr(i) for i in range(65, 91)] + ["space"],
        default=[]
    )
    return selected_chars

# --- TRANSLATION SECTION ---
tab1, tab2 = st.tabs(["Urdu → English → ASL", "ASL → English → Urdu"])

with tab1:
    urdu_text = st.text_area("📝 Enter Urdu Text", height=150)
    if st.button("🔄 Translate & Show Signs"):
        if not urdu_text.strip():
            st.warning("Please enter Urdu text.")
        else:
            with st.spinner("Translating to English..."):
                english = hf_translate(urdu_text, "ur_PK", "en_XX")
                if "Error" in english or "Translation failed" in english:
                    st.error(f"Translation failed: {english}")
                else:
                    st.markdown("### ✅ English Translation")
                    st.success(english)
                    display_sign_language(english)

with tab2:
    sign_sequence = render_sign_input()
    if st.button("🔁 Translate Signs"):
        if not sign_sequence:
            st.warning("Please select at least one sign.")
        else:
            english_text = " ".join(
                ''.join(c.lower() for c in group) if "space" not in group else ''.join(c.lower() for c in group if c != "space")
                for group in "".join(sign_sequence).split("space")
            )
            st.markdown("### 🔡 Interpreted English")
            st.success(english_text)

            with st.spinner("Translating to Urdu..."):
                urdu = hf_translate(english_text, "en_XX", "ur_PK")
                if "Error" in urdu or "Translation failed" in urdu:
                    st.error(f"Translation failed: {urdu}")
                else:
                    st.markdown("### 🌐 Urdu Translation")
                    st.success(urdu)