Spaces:
Sleeping
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Update app.py
Browse files
app.py
CHANGED
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@@ -40,26 +40,85 @@ def get_current_time_in_timezone(timezone: str) -> str:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def
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"""
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Args:
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"""
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try:
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return f"🦋🦋 Here's is the summary of the life and calling of {subject}: {combination}"
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except
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return f"
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final_answer = FinalAnswerTool()
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@@ -83,7 +142,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[final_answer,
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def crypto_analysis(crypto_name: str) -> str:
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"""
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Fetches current cryptocurrency data for a given crypto currency name use the data extracted to combine with web search to perform crypto analysis.
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Args:
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crypto_name: The crypto currency id (e.g., 'bitcoin')
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Returns:
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A JSON-formatted string containing the crypto analysis if successful,
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otherwise an error message
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"""
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import os
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import json
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import requests
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url = f"https://rest.coincap.io/v3/assets/{crypto_name}?apiKey={os.getenv(key='coin_api')}"
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try:
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response = requests.get(url)
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response.raise_for_status() # Raise exception for bad status codes
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data = response.json()
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# Search for news related to crypto
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search_tool = DuckDuckGoSearchTool()
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try:
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crypto_info = data['data']
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# Extract key metrics for analysis
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price = float(crypto_info["priceUsd"])
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market_cap = float(crypto_info["marketCapUsd"])
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volume_24h = float(crypto_info["volumeUsd24Hr"])
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change_24h = float(crypto_info["changePercent24Hr"])
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# Targeted search for information
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queries = [
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f"{crypto_info['name']} price movement reasons",
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f"{crypto_info['name']} market analysis",
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f"{crypto_info['name']} future predictions",
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f"{crypto_info['name']} recent developments"
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]
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# Fetch relevant information from search
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search_results = {}
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for query in queries:
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search_results[query] = search_tool(query)
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# Compile final results
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analysis = {
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"basic_info": {
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"name": crypto_info["name"],
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"symbol": crypto_info["symbol"],
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"current_price_usd": price,
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"market_cap_usd": market_cap,
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"rank": int(crypto_info["rank"]),
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},
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"technical_indicators": {
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"24h_change_percent": change_24h,
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"24h_volume_usd": volume_24h,
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"supply_info": {
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"current_supply": float(crypto_info["supply"]),
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"max_supply": float(crypto_info["maxSupply"]) if crypto_info.get("maxSupply") else None,
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"percent_of_max_issued": (float(crypto_info["supply"]) / float(crypto_info["maxSupply"]) * 100)
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if crypto_info.get("maxSupply") else None
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}
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},
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"market_sentiment": {
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"recent_news": search_results,
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"sentiment_indicator": "positive" if change_24h > 0 else "negative",
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}
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}
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return json.dumps(analysis)
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except KeyError as error:
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return f"Error: Failed to parse cryptocurrency data: {str(error)}"
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except ValueError as error:
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return f"Error: Failed to process values in cryptocurrency data: {str(error)}"
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except requests.exceptions.RequestException as e:
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return f"Error: API request failed: {str(e)}"
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final_answer = FinalAnswerTool()
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agent = CodeAgent(
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model=model,
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tools=[final_answer,crypto_analysis], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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