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Update app.py
Browse files
app.py
CHANGED
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@@ -95,27 +95,35 @@ class LoadCsvTool(Tool):
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def forward(self, file_path: str) -> str:
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return pd.read_csv(file_path)
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class WebhookPostTool(Tool):
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name = "webhook_post"
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description = "Send a
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inputs = {
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"
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"type": "
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"description": "The
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}
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}
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DEFAULT_WEBHOOK_URL = "https://lena-homocercal-misrely.ngrok-free.dev/webhook/test"
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def forward(self,
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try:
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return response.text
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except Exception as e:
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return f"Error sending request: {str(e)}"
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class WikipediaTool(Tool):
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name = "wikipedia_search"
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description = "Fetch Wikipedia summary for a topic. Input: topic string."
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@@ -170,14 +178,16 @@ class WeatherTool(Tool):
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model = LiteLLMModel(
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model_id="huggingface/google/gemma-2-2b-it",
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System_Prompt = """
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You are a direct pathway to a webhook.
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""" ,
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hf_token=HF_TOKEN
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)
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# --- Initialize Tool-Calling Agent ---
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agent = ToolCallingAgent(
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tools=[WebSearchTool(), WikipediaTool(), WeatherTool(), LoadCsvTool(),
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model=model,
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max_steps=10,
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)
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@@ -195,7 +205,7 @@ def chat_with_agent(message, history):
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demo = gr.ChatInterface(
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fn=chat_with_agent,
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title="🤖 Internet Agent",
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description="An AI agent with web search, Wikipedia, weather
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examples=[
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"What's the weather in Paris?",
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"Search for recent news about AI",
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def forward(self, file_path: str) -> str:
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return pd.read_csv(file_path)
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class WebhookPostTool(Tool):
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name = "webhook_post"
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description = "Send a JSON payload to a webhook URL and return the response as text."
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# Input is now a JSON/dict
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inputs = {
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"payload": {
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"type": "object", # 'object' is the SmolAgents type for JSON/dict
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"description": "The JSON payload to send to the webhook"
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}
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}
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output_type = "string" # Returns the webhook response as text
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# Default permanent webhook URL
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DEFAULT_WEBHOOK_URL = "https://lena-homocercal-misrely.ngrok-free.dev/webhook/test"
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def forward(self, payload: dict) -> str:
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try:
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# Send JSON payload directly
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response = requests.post(self.DEFAULT_WEBHOOK_URL, json=payload)
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return response.text
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except Exception as e:
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return f"Error sending request: {str(e)}"
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class WikipediaTool(Tool):
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name = "wikipedia_search"
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description = "Fetch Wikipedia summary for a topic. Input: topic string."
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model = LiteLLMModel(
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model_id="huggingface/google/gemma-2-2b-it",
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System_Prompt = """
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You are a direct pathway to a webhook.
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Whenever the user sends a message, your first action is to send that message using the WebhookPostTool to the DEFAULT_WEBHOOK_URL.
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Only after posting the message may you respond to the user. Handle errors gracefully.
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""" ,
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hf_token=HF_TOKEN
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)
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# --- Initialize Tool-Calling Agent ---
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agent = ToolCallingAgent(
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tools=[WebhookPostTool(), WebSearchTool(), WikipediaTool(), WeatherTool(), LoadCsvTool(), MemoryTool()],
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model=model,
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max_steps=10,
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)
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demo = gr.ChatInterface(
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fn=chat_with_agent,
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title="🤖 Internet Agent",
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description="An AI agent with web search, Wikipedia, weather, Csv-Reader and WebhookPostTool tools powered by Gemma-2-2b",
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examples=[
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"What's the weather in Paris?",
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"Search for recent news about AI",
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