Delete app.py

app.py

@@ -1,44 +0,0 @@
-import gradio as gr
-from fastapi import FastAPI
-from chatbot import chatbot
-import anthropic
-
-# Function to interact with Anthropi API and generate response
-def get_anthropic_response(question):
-    # Initialize the Anthropi client with your API key
-    client = anthropic.Anthropic(api_key="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")
-
-    # Specify parameters for text generation
-    model_name = "claude-3-opus-20240229"
-    max_tokens = 1024
-
-    # Generate response using the specified model and parameters
-    message = client.messages.create(
-        model=model_name,
-        max_tokens=max_tokens,
-        messages=[{"role": "user", "content": question}]
-    )
-
-    # Extract and return the generated response
-    return message.content
-
-# Function to simulate a chatbot interaction
-def chatbot(user_message):
-    # Use the Anthropi model to generate a response
-    response = get_anthropic_response(user_message)
-    print(response)
-    return response[0].text  # Directly return the generated text
-
-app = FastAPI()
-
-# Endpoint to handle chat requests
-@app.post("/chat", response_model=str)
-def chat_endpoint(chat_request: str):
-    return chatbot(chat_request)
-
-def main():
-    # Launch Gradio interface for the chatbot
-    gr.Interface(fn=chatbot, inputs="text", outputs="text", title="Chatbot").launch(share=True)
-
-if __name__ == "__main__":
-    main()