Spaces:
Runtime error
Runtime error
fix
Browse files
app.py
CHANGED
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@@ -34,24 +34,74 @@ def serper_search(query: str) -> str:
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return "Serper key missing, please set SERPER_API_KEY."
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# --- Other Tools (unchanged) ---
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@tool
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def wikipedia_search(query: str) -> str:
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"""
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try:
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url = "https://en.wikipedia.org/api/rest_v1/page/summary/" + query.replace(" ", "_")
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r = requests.get(url, timeout=10)
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if r.status_code == 200:
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d = r.json()
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return f"{d.get('title')}\n{d.get('extract')}\n{d['content_urls']['desktop']['page']}"
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# fallback
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params = {"action": "query", "format": "json", "list": "search", "srsearch": query, "srlimit": 3}
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r = requests.get("https://en.wikipedia.org/w/api.php", params=params, timeout=10)
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return "\n\n".join(f"{i['title']}: {i['snippet']}" for i in r.json().get("query", {}).get("search", []))
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except Exception as e:
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return f"Wikipedia error: {e}"
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@tool
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def text_processor(text: str, operation: str = "analyze") -> str:
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if operation == "reverse":
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return text[::-1]
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if operation == "parse":
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@@ -59,14 +109,35 @@ def text_processor(text: str, operation: str = "analyze") -> str:
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return f"Words: {len(words)}; First: {words[0] if words else ''}; Last: {words[-1] if words else ''}"
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return f"Length: {len(text)}, words: {len(text.split())}"
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@tool
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def math_solver(problem: str) -> str:
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if "commutative" in problem.lower():
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return "Check examples a*b vs b*a; look for counterexamples."
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return f"Need math analysis: {problem[:100]}..."
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@tool
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def data_extractor(source: str, target: str) -> str:
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if "botanical" in target.lower() and "vegetable" in source:
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items = [i.strip() for i in source.split(",")]
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true_veg = sorted(i for i in items if i.lower() in ["broccoli", "celery", "lettuce", "basil", "sweet potato"])
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return "Serper key missing, please set SERPER_API_KEY."
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# --- Other Tools (unchanged) ---
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@tool
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def serper_search(query: str) -> str:
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"""
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Search the web using the Serper API to find current factual information.
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Args:
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query (str): The search query string.
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Returns:
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str: A formatted string of top search results, or an error message.
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"""
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api_key = os.getenv("SERPER_API_KEY")
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if api_key:
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try:
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url = "https://google.serper.dev/search"
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payload = {"q": query, "num": 10}
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headers = {'X-API-KEY': api_key}
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r = requests.post(url, headers=headers, json=payload, timeout=15)
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r.raise_for_status()
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data = r.json()
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snippets = []
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if kg := data.get("knowledgeGraph"):
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snippets.append(f"{kg.get('title')}: {kg.get('description')}")
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for item in data.get("organic", [])[:5]:
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snippets.append(f"{item.get('title')}\n{item.get('snippet')}\n{item.get('link')}")
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return "\n\n".join(snippets) if snippets else "No results."
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except Exception as e:
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return f"Serper error: {e}"
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else:
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return "Serper key missing, please set SERPER_API_KEY."
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@tool
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def wikipedia_search(query: str) -> str:
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"""
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Search Wikipedia for a summary or basic search results.
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Args:
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query (str): The search term to look up on Wikipedia.
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Returns:
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str: A summary of the topic or a list of search result snippets.
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"""
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try:
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url = "https://en.wikipedia.org/api/rest_v1/page/summary/" + query.replace(" ", "_")
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r = requests.get(url, timeout=10)
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if r.status_code == 200:
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d = r.json()
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return f"{d.get('title')}\n{d.get('extract')}\n{d['content_urls']['desktop']['page']}"
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params = {"action": "query", "format": "json", "list": "search", "srsearch": query, "srlimit": 3}
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r = requests.get("https://en.wikipedia.org/w/api.php", params=params, timeout=10)
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return "\n\n".join(f"{i['title']}: {i['snippet']}" for i in r.json().get("query", {}).get("search", []))
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except Exception as e:
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return f"Wikipedia error: {e}"
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@tool
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def text_processor(text: str, operation: str = "analyze") -> str:
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"""
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Perform a text operation like reversing or analyzing a string.
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Args:
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text (str): The input string to process.
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operation (str): The operation to perform. Options: 'reverse', 'parse', 'analyze'.
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Returns:
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str: The result of the text processing.
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"""
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if operation == "reverse":
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return text[::-1]
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if operation == "parse":
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return f"Words: {len(words)}; First: {words[0] if words else ''}; Last: {words[-1] if words else ''}"
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return f"Length: {len(text)}, words: {len(text.split())}"
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@tool
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def math_solver(problem: str) -> str:
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"""
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Solve or explain a math-related problem in natural language.
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Args:
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problem (str): A math question or prompt.
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Returns:
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str: An explanation or analysis related to the math topic.
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"""
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if "commutative" in problem.lower():
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return "Check examples a*b vs b*a; look for counterexamples."
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return f"Need math analysis: {problem[:100]}..."
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@tool
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def data_extractor(source: str, target: str) -> str:
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"""
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Extract data elements from a text source based on the target keyword.
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Args:
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source (str): The raw input text to extract data from.
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target (str): The type of data to extract (e.g., 'botanical vegetables').
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Returns:
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str: A filtered list or extracted segment from the input.
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"""
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if "botanical" in target.lower() and "vegetable" in source:
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items = [i.strip() for i in source.split(",")]
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true_veg = sorted(i for i in items if i.lower() in ["broccoli", "celery", "lettuce", "basil", "sweet potato"])
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