[feat] add image gen and graph gen

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+### Python template
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
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+share/python-wheels/
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+.installed.cfg
+*.egg
+MANIFEST
+
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+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
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+
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+
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+
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+
+# pyenv
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+
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+
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+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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+
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+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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+#.idea/
+

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/MajorProject.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

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+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="Eslint" enabled="true" level="WARNING" enabled_by_default="true" />
+    <inspection_tool class="IncorrectHttpHeaderInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="customHeaders">
+        <set>
+          <option value="X-API-Key" />
+        </set>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyCompatibilityInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ourVersions">
+        <value>
+          <list size="2">
+            <item index="0" class="java.lang.String" itemvalue="3.13" />
+            <item index="1" class="java.lang.String" itemvalue="3.5" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="10">
+            <item index="0" class="java.lang.String" itemvalue="shiboken6" />
+            <item index="1" class="java.lang.String" itemvalue="asyncio" />
+            <item index="2" class="java.lang.String" itemvalue="gunicorn" />
+            <item index="3" class="java.lang.String" itemvalue="asyncpg" />
+            <item index="4" class="java.lang.String" itemvalue="SQLAlchemy" />
+            <item index="5" class="java.lang.String" itemvalue="python-dotenv" />
+            <item index="6" class="java.lang.String" itemvalue="fastapi" />
+            <item index="7" class="java.lang.String" itemvalue="pydantic" />
+            <item index="8" class="java.lang.String" itemvalue="streamlit" />
+            <item index="9" class="java.lang.String" itemvalue="requests" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <option name="ignoredErrors">
+        <list>
+          <option value="N802" />
+        </list>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="env" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="env" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/MajorProject.iml" filepath="$PROJECT_DIR$/.idea/MajorProject.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings" defaultProject="true" />
+</project>

app.py

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+import base64
+import json
+import os
+import random
+import re
+import shutil
+import sys
+import tempfile
+import uuid
+from datetime import datetime
+from io import BytesIO
+from pathlib import Path
+
+import gradio as gr
+from PIL import Image
+from dotenv import load_dotenv
+from graphviz import Digraph
+from huggingface_hub import InferenceClient
+from together import Together
+
+# ────────────────────────────────
+# ENV / API
+# ────────────────────────────────
+load_dotenv()
+HF_TOKEN        = os.getenv("HF_TOKEN")            # <-- add your HF token to .env
+TOGETHER_TOKEN  = os.getenv("TOGETHER_API_KEY", "")
+together_client = Together(api_key=TOGETHER_TOKEN)
+image_client    = InferenceClient(token=HF_TOKEN)  # default model set later
+
+# Optional Graphviz path helper (Windows ONLY (RIP Gotham))
+if shutil.which("dot") is None:
+    gv_path = r"C:\Program Files\Graphviz\bin"
+    if os.path.exists(gv_path):
+        os.environ["PATH"] = gv_path + os.pathsep + os.environ["PATH"]
+    else:
+        sys.exit("Graphviz not found. Please install Graphviz or remove the check.")
+
+# ────────────────────────────────
+# LLM templates
+# ────────────────────────────────
+LLAMA_JSON_PROMPT = """
+Extract every character and any explicit relationship between them.
+Return pure JSON ONLY in this schema:
+{
+  "characters": ["Alice", "Bob"],
+  "relations": [
+     {"from":"Alice","to":"Bob","type":"friend"}
+  ]
+}
+TEXT:
+\"\"\"%s\"\"\"
+"""
+
+IMAGE_PROMPT_TEMPLATE = """
+Based on the following story, craft ONE vivid scene description suitable as a prompt for a text‑to‑image AI.
+Do NOT restate the entire story—write only the visual description.
+Include setting, mood, key characters, and distinctive details.
+Return a single sentence, nothing else.
+
+Story:
+\"\"\"%s\"\"\"
+"""
+
+# ────────────────────────────────
+# Entity extraction
+# ────────────────────────────────
+def extract_entities(text: str):
+    try:
+        prompt = LLAMA_JSON_PROMPT % text
+        resp = together_client.chat.completions.create(
+            model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
+            messages=[{"role": "user", "content": prompt}],
+            max_tokens=1024,
+        )
+        raw = resp.choices[0].message.content.strip()
+        m = re.search(r"\{[\s\S]*\}", raw)
+        if not m:
+            return None, f"⚠️ No JSON block found.\n\n{raw}"
+        data = json.loads(m.group(0))
+        return data, None
+    except Exception as e:
+        return None, f"⚠️ extractor error: {e}"
+
+# ────────────────────────────────
+# Build visual prompt
+# ────────────────────────────────
+def generate_image_prompt(story_text: str):
+    try:
+        prompt_msg = IMAGE_PROMPT_TEMPLATE % story_text
+        resp = together_client.chat.completions.create(
+            model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
+            messages=[{"role": "user", "content": prompt_msg}],
+            max_tokens=120,
+        )
+        return resp.choices[0].message.content.strip()
+    except Exception as e:
+        return e
+
+
+
+def generate_images_with_together(story, style, quality, count=1):
+    base_prompt = generate_image_prompt(story)
+    images = []
+
+    for i in range(count):
+        full_prompt = f"{style} style, cinematic lighting, quality {quality}, {base_prompt} [Scene {i + 1}]"
+        seed = random.randint(1, 10_000_000)
+
+        response = together_client.images.generate(
+            prompt=full_prompt,
+            model="black-forest-labs/FLUX.1-schnell-Free",
+            seed=seed,
+            width=768,
+            height=512,
+            steps=4
+        )
+
+        if response.data and response.data[0].b64_json:
+            image_b64 = response.data[0].b64_json
+            image_data = base64.b64decode(image_b64)
+            image = Image.open(BytesIO(image_data))
+            images.append(image)
+        else:
+            print("⚠️ No image returned for scene", i + 1)
+
+    return images
+
+# ────────────────────────────────
+# Graph → PNG (Graphviz)
+# ────────────────────────────────
+def build_graph_png(data: dict) -> str:
+    dot = Digraph(format="png")
+    dot.attr(rankdir="LR", bgcolor="white", fontsize="11")
+    for c in data["characters"]:
+        dot.node(c, shape="ellipse", style="filled", fillcolor="#8ecae6")
+    for r in data["relations"]:
+        dot.edge(r["from"], r["to"], label=r["type"], fontsize="10")
+
+    tmpdir = Path(tempfile.mkdtemp())
+    path = tmpdir / f"graph_{uuid.uuid4().hex}.png"
+    dot.render(path.stem, directory=tmpdir, cleanup=True)
+    return str(path)
+
+# ────────────────────────────────
+# Core generation
+# ────────────────────────────────
+def generate_assets(prompt, style, quality, num_images, state):
+    data, err = extract_entities(prompt)
+    if not data:
+        return [], None, err or "No data.", state
+
+    graph_path = build_graph_png(data)
+
+    images = []
+    if num_images > 0:
+        try:
+            images = generate_images_with_together(prompt, style, quality, int(num_images))
+        except Exception as e:
+            print("⚠️ Together.ai image generation failed:", e)
+            images = []
+
+    status = "✅ All assets generated." if images else "✅ Graph generated (no images)."
+    return images, graph_path, status, data
+
+# Helper to rebuild graph after manual edits
+def _regen_graph(state): return gr.update(value=build_graph_png(state))
+
+# ────────────────────────────────
+# Manual tweak callbacks
+# ────────────────────────────────
+def add_character(name, state):
+    if not name:
+        return gr.update(), "Enter a character name.", state
+    if name in state["characters"]:
+        return gr.update(), f"{name} already exists.", state
+    state["characters"].append(name)
+    return _regen_graph(state), "✅ Character added.", state
+
+def add_relation(frm, to, typ, state):
+    if frm not in state["characters"] or to not in state["characters"]:
+        return gr.update(), "Both characters must exist first.", state
+    state["relations"].append({"from": frm, "to": to, "type": typ or "relation"})
+    return _regen_graph(state), "✅ Relation added.", state
+
+def delete_character(name, state):
+    if name not in state["characters"]:
+        return gr.update(), "Character not found.", state
+    state["characters"].remove(name)
+    state["relations"] = [r for r in state["relations"] if r["from"] != name and r["to"] != name]
+    return _regen_graph(state), f"🚮 {name} deleted.", state
+
+# Save / Load
+def save_json(state):
+    fp = Path(tempfile.gettempdir()) / f"story_{datetime.now().isoformat()}.json"
+    fp.write_text(json.dumps(state, indent=2))
+    return str(fp)
+
+def load_json(file_obj, state):
+    if not file_obj or not Path(file_obj).exists():
+        return gr.update(), "No file uploaded.", state
+    try:
+        data = json.loads(Path(file_obj).read_text())
+        assert "characters" in data and "relations" in data
+        return _regen_graph(data), "✅ File loaded.", data
+    except Exception as e:
+        return gr.update(), f"Load error: {e}", state
+
+# ────────────────────────────────
+# UI (same tabs you designed)
+# ────────────────────────────────
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue", secondary_hue="cyan")) as demo:
+    gr.Markdown("## ✨ EpicFrame – Narrative Workbench")
+
+    state = gr.State({"characters": [], "relations": []})
+
+    # Input tab
+    with gr.Tab("Input"):
+        text_input     = gr.Textbox(label="Story prompt", lines=6)
+        style_dropdown = gr.Dropdown(["Realistic", "Anime", "Sketch"], value="Realistic", label="Style")
+        quality_slider = gr.Slider(1, 10, value=7, step=1, label="Image Quality")
+        num_images_sl  = gr.Slider(0, 4, value=0, step=1, label="Images to generate (0 = skip)")
+        generate_btn   = gr.Button("▶️ Generate Assets")
+        status_box     = gr.Textbox(label="Status", lines=2)
+
+    # Images tab
+    with gr.Tab("Images"):
+        gallery = gr.Gallery(label="🖼️ Images", columns=4)
+
+    # Graph/Edit tab
+    with gr.Tab("Graph / Edit"):
+        graph_img = gr.Image(label="📌 Character Map", interactive=False, height=500)
+        with gr.Row():
+            add_char_name = gr.Textbox(label="Add Character → Name")
+            add_char_btn  = gr.Button("Add")
+        with gr.Row():
+            rel_from  = gr.Textbox(label="Relation From")
+            rel_to    = gr.Textbox(label="To")
+            rel_type  = gr.Textbox(label="Type")
+            add_rel_btn = gr.Button("Add Relation")
+        with gr.Row():
+            del_char_name = gr.Textbox(label="Delete Character → Name")
+            del_char_btn  = gr.Button("Delete")
+        tweak_msg = gr.Textbox(label="➰ Status", max_lines=2)
+
+    # Save/Load tab
+    with gr.Tab("Save / Load"):
+        save_btn   = gr.Button("💾 Download JSON")
+        load_file  = gr.File(label="Load JSON")
+        load_btn   = gr.Button("⤵️ Load into workspace")
+        save_msg   = gr.Textbox(label="Status", max_lines=2)
+
+    # callbacks
+    generate_btn.click(
+        generate_assets,
+        inputs=[text_input, style_dropdown, quality_slider, num_images_sl, state],
+        outputs=[gallery, graph_img, status_box, state]
+    )
+
+    add_char_btn.click(add_character,
+                       inputs=[add_char_name, state],
+                       outputs=[graph_img, tweak_msg, state])
+    add_rel_btn.click(add_relation,
+                      inputs=[rel_from, rel_to, rel_type, state],
+                      outputs=[graph_img, tweak_msg, state])
+    del_char_btn.click(delete_character,
+                       inputs=[del_char_name, state],
+                       outputs=[graph_img, tweak_msg, state])
+
+    save_btn.click(save_json, inputs=state, outputs=save_btn, api_name="download") \
+            .then(lambda p: "✅ JSON ready.", outputs=save_msg)
+    load_btn.click(load_json, inputs=[load_file, state],
+                   outputs=[graph_img, save_msg, state])
+
+demo.launch()

requirements.txt

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+gradio
+graphviz
+python-dotenv
+together