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0b29030 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | """Streamlit UI for the content generation agent.
Flow:
Sidebar: provider + API key + model + mock toggle (user pastes any key)
1. Connect website -> crawl + Brand Brain
2. Prompt helper -> suggestions + rough note -> editable brief
3. Generate -> ranked variants per channel with guardrail badges
4. PPT export -> download .pptx
"""
import os
import tempfile
import streamlit as st
from core.config import (get_settings, MODEL_CHOICES, DEFAULT_MODELS)
from core.pipeline import ContentAgent
from core.schemas import Brief
st.set_page_config(page_title="Content Agent", page_icon="✍️", layout="wide")
def get_agent() -> ContentAgent:
s = st.session_state
settings = get_settings(
provider=s.get("provider"),
api_key=s.get("api_key") or None,
model=s.get("model") or None,
mock_mode=s.get("mock_mode", True),
)
return ContentAgent(settings)
# ---------------- Sidebar: model / key config ----------------
with st.sidebar:
st.header("⚙️ Model settings")
st.caption("Paste your own API key and pick a model, or run in mock mode.")
st.session_state["mock_mode"] = st.toggle(
"Mock mode (no key needed)", value=st.session_state.get("mock_mode", True))
provider = st.selectbox("Provider", ["groq", "openrouter"],
index=0, disabled=st.session_state["mock_mode"])
st.session_state["provider"] = provider
st.session_state["api_key"] = st.text_input(
"API key", type="password", disabled=st.session_state["mock_mode"],
placeholder="Paste Groq or OpenRouter key")
model_options = MODEL_CHOICES.get(provider, [])
chosen = st.selectbox("Model", model_options,
index=0, disabled=st.session_state["mock_mode"])
custom = st.text_input("Custom model (optional)",
disabled=st.session_state["mock_mode"],
placeholder="override model id")
st.session_state["model"] = custom or chosen
if st.session_state["mock_mode"]:
st.info("Running in mock mode — deterministic sample output, $0 cost.")
elif not st.session_state["api_key"]:
st.warning("Enter an API key or enable mock mode.")
st.title("✍️ Content Generation Agent")
st.caption("Daily product & marketing content for founders — grounded, guardrailed, multi-channel.")
# ---------------- Step 1: website ----------------
st.subheader("1️⃣ Connect your website")
col1, col2 = st.columns([3, 1])
with col1:
website = st.text_input("Product website URL", placeholder="https://yourproduct.com")
with col2:
st.write("")
st.write("")
crawl_btn = st.button("Crawl & analyze", type="primary", use_container_width=True)
if crawl_btn and website:
with st.spinner("Crawling website and building Brand Brain…"):
try:
agent = get_agent()
brand = agent.ingest_website(website)
st.session_state["brand"] = brand.to_dict()
st.success(f"Brand Brain ready for {brand.product_name}")
except Exception as e:
st.error(f"Failed: {e}")
if st.session_state.get("brand"):
b = st.session_state["brand"]
with st.expander("🧠 Brand Brain (review the grounded facts)", expanded=False):
st.write(f"**{b['product_name']}** — {b['one_liner']}")
c1, c2 = st.columns(2)
c1.write("**Value props**")
c1.markdown("\n".join(f"- {x}" for x in b.get("value_props", [])) if b.get("value_props") else "_None_")
c1.write("**Features**")
c1.markdown("\n".join(f"- {x}" for x in b.get("features", [])) if b.get("features") else "_None_")
c2.write("**Differentiators**")
c2.markdown("\n".join(f"- {x}" for x in b.get("differentiators", [])) if b.get("differentiators") else "_None_")
c2.write("**Cannot claim (guardrail)**")
c2.markdown("\n".join(f"- {x}" for x in b.get("forbidden_claims", [])) if b.get("forbidden_claims") else "_None_")
# ---------------- Step 2: prompt helper + brief ----------------
if st.session_state.get("brand"):
from core.schemas import BrandBrain
brand_obj = BrandBrain(**st.session_state["brand"])
st.subheader("2️⃣ Describe today's update")
if st.button("💡 Suggest prompts"):
with st.spinner("Thinking of prompt ideas…"):
st.session_state["suggestions"] = get_agent().suggest_prompts(brand_obj)
for sug in st.session_state.get("suggestions", []):
st.caption("→ " + sug)
raw = st.text_area("Your rough note", placeholder="e.g. shipped one-click integrations today")
cc1, cc2, cc3 = st.columns(3)
channels = cc1.multiselect("Channels", ["linkedin", "instagram", "whatsapp"],
default=["linkedin", "instagram", "whatsapp"])
num_variants = cc2.slider("Variants per channel", 1, 5, 3)
language = cc3.selectbox("Language", ["en", "hi (coming soon)"], index=0)
lang_code = "en" if language.startswith("en") else "hi"
if st.button("Build editable brief"):
if not channels:
st.error("Please select at least one channel in Step 2.")
else:
with st.spinner("Structuring your brief…"):
built = get_agent().build_brief(raw, brand_obj, channels, num_variants, lang_code)
st.session_state["brief"] = built["brief"].to_dict()
st.session_state["suggested_prompt"] = built["suggested_prompt"]
if st.session_state.get("brief"):
st.subheader("3️⃣ Review & customize the brief")
br = st.session_state["brief"]
pcol1, pcol2 = st.columns(2)
br["objective"] = pcol1.selectbox(
"Objective", ["daily_update", "feature", "launch", "learning", "hiring", "metric"],
index=max(0, ["daily_update", "feature", "launch", "learning", "hiring", "metric"].index(br["objective"]) if br["objective"] in ["daily_update", "feature", "launch", "learning", "hiring", "metric"] else 0))
br["tone"] = pcol2.selectbox(
"Tone", ["professional", "founder_story", "casual", "punchy"],
index=max(0, ["professional", "founder_story", "casual", "punchy"].index(br["tone"]) if br["tone"] in ["professional", "founder_story", "casual", "punchy"] else 0))
br["audience"] = pcol1.text_input("Audience", value=br.get("audience", ""))
br["cta"] = pcol2.text_input("CTA", value=br.get("cta", ""))
st.session_state["suggested_prompt"] = st.text_area(
"Suggested prompt (edit freely)", value=st.session_state.get("suggested_prompt", ""))
br["raw_input"] = st.session_state["suggested_prompt"]
st.session_state["brief"] = br
if st.button("🚀 Generate content", type="primary"):
if not br.get("channels"):
st.error("Please select at least one channel in Step 2 before generating content.")
else:
with st.spinner("Generating grounded, guardrailed content…"):
agent = get_agent()
brand_obj = BrandBrain(**st.session_state["brand"])
brief_obj = Brief(**br)
result = agent.generate(brief_obj, brand_obj)
st.session_state["result"] = result
# ---------------- Step 4: results + PPT ----------------
if st.session_state.get("result"):
result = st.session_state["result"]
st.subheader("4️⃣ Generated content")
if not result.variants_by_channel:
st.warning("⚠️ No channels were selected or generated.")
else:
tabs = st.tabs([c.capitalize() for c in result.variants_by_channel.keys()])
for tab, (channel, variants) in zip(tabs, result.variants_by_channel.items()):
with tab:
for i, v in enumerate(variants):
badge = "✅ clean" if v.guardrails.passed else "⚠️ " + str(len(v.guardrails.all_flags())) + " flag(s)"
st.markdown(f"**Variant {i+1}** · score {v.score} · {badge}")
st.text_area(f"{channel}_{i}", value=v.text, height=140, label_visibility="collapsed")
if v.hashtags:
st.caption(" ".join(v.hashtags))
if not v.guardrails.passed:
for f in v.guardrails.all_flags():
st.caption("⚠️ " + f)
st.divider()
st.subheader("📊 Export PPT")
if st.button("Generate PPT deck"):
with st.spinner("Building deck…"):
out = os.path.join(tempfile.gettempdir(), "content_update.pptx")
path = get_agent().export_ppt(result.fact_pack, result.brief, out)
with open(path, "rb") as fh:
st.download_button("⬇️ Download .pptx", fh.read(),
file_name="content_update.pptx",
mime="application/vnd.openxmlformats-officedocument.presentationml.presentation")
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