Upload 3 files
Browse files- agent_core.py +242 -0
- app.py +15 -0
- requirements.txt +3 -0
agent_core.py
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from smolagents import CodeAgent, WebSearchTool, InferenceClientModel, VisitWebpageTool, Tool, tool
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import random
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# -----------------------------
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# MENU SUGGESTION TOOL
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# -----------------------------
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@tool
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def suggest_menu(occasion: str) -> str:
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"""
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Suggests a single Indian chicken-based dish depending on the occasion.
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Args:
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occasion: 'casual' for roommates only, 'formal' when guests come.
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"""
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casual_dishes = [
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"Chicken 65",
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"Chicken Biryani",
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"Pepper Chicken Fry",
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"Andhra Chicken Roast",
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"Chicken Ghee Roast"
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]
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formal_dishes = [
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"Hyderabadi Chicken Dum Biryani",
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"Butter Chicken",
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"Chicken Tandoori",
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"Chicken Chettinad",
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"Chicken Mughlai"
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]
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import random
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if occasion == "casual":
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dish = random.choice(casual_dishes)
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return f"Casual Menu Dish: {dish}"
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elif occasion == "formal":
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dish = random.choice(formal_dishes)
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return f"Formal Menu Dish: {dish}"
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else:
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return "Please choose 'casual' or 'formal'."
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# -----------------------------
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# CATERING SERVICE TOOL (4 PEOPLE)
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# -----------------------------
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@tool
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def catering_service_tool(query: str) -> str:
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"""
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Returns the highest-rated person among the 4 roommates.
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Args:
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query: A search term or keyword (not used in logic, but required for schema).
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"""
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services = {
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"Srikanth": 4.9,
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"Nitish": 4.8,
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"Subrahmanya": 4.7,
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"Rahul": 4.6,
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}
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best_service = max(services, key=services.get)
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return best_service
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# -----------------------------
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# INDIAN MOVIE THEME TOOL
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# -----------------------------
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class IndianMovieThemeTool(Tool):
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name = "indian_movie_theme_generator"
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description = "Suggests Indian movie/series-based party themes."
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inputs = {
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"category": {
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"type": "string",
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"description": "Theme type (e.g., 'mass', 'romantic', 'gangster', 'pan-india').",
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}
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}
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output_type = "string"
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def forward(self, category: str):
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themes = {
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"mass": "KGF Theme Night: Gold, black outfits, heavy bass music, and dramatic lighting.",
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"romantic": "YJHD Theme: Colorful decor, travel vibes, and chill Bollywood playlist.",
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"gangster": "Gangs of Wasseypur Theme: Rustic setup, desi snacks, and intense Bollywood tracks.",
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"pan-india": "RRR Theme: Traditional outfits, energetic Telugu/Hindi songs, and festive lighting."
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}
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return themes.get(category.lower(), "Theme not found. Try 'mass', 'romantic', 'gangster', or 'pan-india'.")
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# -----------------------------
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# PLAYLIST GENERATOR TOOL
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# -----------------------------
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@tool
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def playlist_tool(theme: str) -> str:
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"""
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Generates a playlist based on the theme.
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If no playlist is found, returns a structured failure signal so the agent
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automatically tries WebSearchTool.
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Args:
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theme: The selected theme name.
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"""
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playlists = {
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"KGF": ["Salaam Rocky Bhai", "Garbadhi", "Dheera Dheera"],
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"YJHD": ["Badtameez Dil", "Kabira", "Ilahi"],
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"Gangs of Wasseypur": ["Jiya Tu", "Hunter", "Keh Ke Lunga"],
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"RRR": ["Naatu Naatu", "Komuram Bheemudo", "Dosti"]
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}
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for key in playlists:
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if key.lower() in theme.lower():
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return f"Playlist for {key}:\n" + "\n".join(playlists[key])
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# IMPORTANT: structured failure signal
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return {
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"error": "playlist_not_found",
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"reason": f"No playlist found for theme '{theme}'. Try searching online."
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}
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@tool
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def smart_playlist_resolver(theme: str) -> str:
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"""
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Resolves playlists intelligently:
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- First tries playlist_tool
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- If it fails, instructs the agent to use WebSearchTool automatically
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Args:
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theme: The theme or language for the playlist.
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"""
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result = playlist_tool(theme=theme)
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# If playlist_tool returned a dict, it means failure
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if isinstance(result, dict) and result.get("error") == "playlist_not_found":
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# This is the key: a structured instruction to the agent
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return {
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"tool": "websearch",
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"query": f"top 5 {theme} songs"
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}
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return result
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# -----------------------------
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# SHOPPING LIST TOOL
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# -----------------------------
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@tool
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def shopping_list_tool(menu_type: str) -> str:
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"""
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Generates a shopping list for the selected menu.
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Args:
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menu_type: 'casual' or 'formal'
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"""
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if menu_type == "casual":
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return (
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"Shopping List (Casual):\n"
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"- 2 kg Chicken\n"
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"- Biryani Rice\n"
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"- Curd\n"
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"- Masala Powders\n"
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"- Onions, Tomatoes\n"
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"- Soft Drinks"
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)
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elif menu_type == "formal":
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return (
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"Shopping List (Formal):\n"
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"- 3 kg Chicken\n"
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"- Naan Ingredients\n"
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"- Biryani Rice\n"
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"- Butter & Cream\n"
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"- Dessert Items\n"
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"- Mocktail Mixes"
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)
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else:
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return "Choose 'casual' or 'formal'."
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# -----------------------------
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# CLEANING DUTY ROTATION TOOL
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# -----------------------------
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@tool
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def cleaning_rotation_tool(dummy: str) -> str:
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"""
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Assigns cleaning duty to one of the 4 roommates randomly.
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Args:
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dummy: Placeholder argument (not used).
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"""
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people = ["Srikanth", "Nitish", "Subrahmanya", "Rahul"]
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return f"Cleaning duty today: {random.choice(people)}"
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# -----------------------------
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# WHO COOKS TODAY TOOL
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# -----------------------------
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@tool
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def cooking_rotation_tool(dummy: str) -> str:
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"""
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Randomly selects who cooks today.
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Args:
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dummy: Placeholder argument (not used).
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"""
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people = ["Srikanth", "Nitish", "Subrahmanya", "Rahul"]
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return f"Today's cook: {random.choice(people)}"
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# -----------------------------
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# BUDGET CALCULATOR TOOL
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# -----------------------------
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@tool
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def budget_tool(total_cost: float) -> str:
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"""
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Splits the total cost among 4 roommates.
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Args:
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total_cost: Total amount spent on the party in euros.
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"""
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per_person = total_cost / 4
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return f"Each person pays: €{per_person:.2f}"
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# -----------------------------
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# AGENT SETUP
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# -----------------------------
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agent = CodeAgent(
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tools=[
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WebSearchTool(),
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VisitWebpageTool(),
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suggest_menu,
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catering_service_tool,
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IndianMovieThemeTool(),
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playlist_tool,
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shopping_list_tool,
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cleaning_rotation_tool,
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cooking_rotation_tool,
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budget_tool
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],
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model=InferenceClientModel(),
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max_steps=10,
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verbosity_level=2
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)
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# -----------------------------
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# RUN THE AGENT
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# -----------------------------
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agent.run(
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"we 4 are having party give whos gonna clean today and 5 kannada songs to play now"
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)
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app.py
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# app.py
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import streamlit as st
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from agent_core import run_agent
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st.title("🎉 Berlin Roommate Party Planner AI")
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user_input = st.text_input("Ask something:")
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if st.button("Run"):
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if user_input.strip():
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with st.spinner("Thinking..."):
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result = run_agent(user_input)
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st.write("### Output")
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st.write(result)
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requirements.txt
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smolagents
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streamlit
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huggingface_hub
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