Delete src/streamlit_app.py

src/streamlit_app.py

@@ -1,67 +0,0 @@
-import streamlit as st
-from huggingface_hub import InferenceClient
-import os
-
-# Konfigurasi Halaman
-st.set_page_config(page_title="AI Video Scene Architect", page_icon="🎬", layout="wide")
-
-st.title("🎬 AI Video Scene Architect")
-
-# Ambil token dari Secrets (HF_TOKEN)
-hf_token = os.environ.get("HF_TOKEN")
-
-with st.sidebar:
-    st.header("⚙️ Pengaturan")
-    if not hf_token:
-        hf_token = st.text_input("Masukkan Hugging Face Token", type="password")
-        st.caption("Dapatkan di: huggingface.co/settings/tokens")
-    
-    num_scenes = st.slider("Jumlah Scene", 1, 20, 5)
-    
-    aspect_ratio = st.selectbox(
-        "Ukuran Video (Aspect Ratio)", 
-        ["16:9", "9:16", "2:3", "4:5"]
-    )
-    
-    style = st.selectbox("Gaya Visual", ["Cinematic", "Realistic Photography", "Anime Style", "3D Animation"])
-
-# Input User
-col1, col2 = st.columns(2)
-with col1:
-    idea = st.text_area("Ide Utama Video", placeholder="Contoh: Astronot memasak di bulan...", height=120)
-with col2:
-    details = st.text_area("Detail Visual", placeholder="Pencahayaan dramatis, warna cerah...", height=120)
-
-if st.button("🚀 Generate Sequence Prompts"):
-    if not hf_token:
-        st.error("❌ Token tidak ditemukan! Isi di sidebar atau Settings > Secrets.")
-    elif not idea:
-        st.warning("⚠️ Silakan tulis ide video Anda.")
-    else:
-        with st.spinner("Menghubungi AI melalui Router Baru..."):
-            try:
-                # Inisialisasi Client (Otomatis menangani routing & error 410)
-                client = InferenceClient(
-                    model="mistralai/Mistral-7B-Instruct-v0.3",
-                    token=hf_token
-                )
-
-                # Format Prompt
-                system_instruction = f"Create {num_scenes} sequential video prompts for: {idea}. Details: {details}. Style: {style}. Ratio: {aspect_ratio}. Duration: 5s per scene. Format: Scene [X] (5s): [Description]"
-                
-                # Memanggil AI
-                response = ""
-                for message in client.chat_completion(
-                    messages=[{"role": "user", "content": system_instruction}],
-                    max_tokens=2000,
-                    stream=True,
-                ):
-                    response += message.choices[0].delta.content
-
-                st.success("✅ Rangkaian Scene Berhasil Dibuat!")
-                st.markdown("---")
-                st.write(response)
-
-            except Exception as e:
-                st.error(f"❌ Terjadi kesalahan: {e}")
-                st.info("Jika error 503, tunggu 1 menit lalu klik Generate lagi karena model sedang 'warming up'.")