Update main.py
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main.py
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import
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from langchain_experimental.llms.ollama_functions import OllamaFunctions
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model = OllamaFunctions(model="gemma:7b")
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model = model.bind(
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functions=[
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{
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state,
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},
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"unit": {
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"type": "string",
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function_call={"name": "get_current_weather"},
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)
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import gradio as gr
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from langchain_experimental.llms.ollama_functions import OllamaFunctions
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# Initialize the Ollama model
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model = OllamaFunctions(model="gemma:7b")
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model = model.bind(
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functions=[
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{
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, e.g., San Francisco, CA",
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},
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"unit": {
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"type": "string",
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function_call={"name": "get_current_weather"},
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)
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# Function to be called by the Gradio interface
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def get_weather(user_input):
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result = model.invoke(user_input)
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return result
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# Create the Gradio interface
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iface = gr.Interface(
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fn=get_weather,
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inputs=gr.inputs.Textbox(lines=2, placeholder="Enter Location and Unit (e.g., 'San Francisco, CA', 'celsius')"),
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outputs="text",
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title="Weather Information",
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description="Enter a location to get the current weather."
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)
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# Launch the application
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iface.launch()
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